I'm looking for a job. I exported this list from FewerJobs.com - a curated job board.

Please:
1. Rank these jobs by fit for me, given my resume / skills.
2. Highlight the top 5 with a one-sentence rationale each.
3. Flag any concerns, including benefit values without source-backed evidence.
4. Suggest one or two filter changes I could make on FewerJobs to find more good matches.

Filters I applied:
- q: Scale AI
- quality_floor: default
- match_401k_strict: true
- parental_strict: true
- non_birth_strict: true
- pto_strict: true
- include_older: false
- apply_url_verified: false
- page: 2
- per_page: 100
- sort: relevance

Jobs (100 total):

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TITLE: Associate General Counsel, Product & IP
EMPLOYER: Scale AI
LOCATION: San Francisco, CA (unspecified)
SALARY: $265K-$331K
POSTED: 2026-06-04
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4702785005
EXCERPT: Associate General Counsel, Product & IP San Francisco, CA Scale is at the forefront of powering artificial intelligence. We believe that trust in AI is earned with high-quality data for training, fine-tuning, and evaluating AI systems. Our products are transforming how organizations build and deploy AI. Our customers are the world's most innovative model developers and enterprise and public sector entities looking to apply AI in their organizations. We are seeking an Associate General Counsel, Product & IP to provide strategic product counseling on cutting edge issues at the intersection of IP and agentic and generative AI. The ideal candidate for this role will have experience harnessing IP as a competitive advantage; providing strategic legal guidance that advances data-driven business goals while facilitating regulatory compliance, managing legal risk, and enhancing customer trust; and a demonstrated ability to partner well with cross-functional teams, including superlative communication, collaborative problem-solving, initiative, empathy, urgency, and focus. You will: - Oversee and strategically manage Scale's worldwide intellectual property portfolio. - Develop and implement a comprehensive IP strategy that aligns with Scale's business objectives, ensuring the development and protection of high-quality intellectual property. - Oversee invention sessions, invention disclosure selection, patent application drafting and filing, and patent prosecution. - Be a subject matter expert-for both business partners and the Legal team-on US and global intellectual property laws. - Work hands-on with business and product teams to ensure that intellectual property protection is embedded into Scale's products and processes by design and to implement best-in-class compliance. -
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TITLE: Machine Learning Engineer (Training Optimization）
EMPLOYER: Canva
LOCATION: Beijing, Beijing, China (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://jobs.smartrecruiters.com/Canva/6000000001146159-machine-learning-engineer-training-optimization-
EXCERPT: Machine Learning Engineer (Training Optimization） Beijing, Beijing, China Company Description: 该岗位现面向所有经验阶段的候选人开放，包括社会招聘、应届毕业生，同时开放实习生岗位。工作地点为北京。欢迎申请，期待你的加入！ Notice: This position is open to candidates at all experience levels, including experienced candidates, graduates, as well as internship opportunities. The role is based in Beijing. We welcome your application and look forward to having you on board! Job Description: At Canva, we're building a future powered by AI that's as magical as it is impactful. As a Research Scientist at Canva, you'll be responsible for advancing the future of AI by experimenting with cutting-edge techniques, as well as improving models for real-world quality and performance. About the Group/Team We're the CORE team within the Generative AI supergroup. Our mission is to invent foundational technologies that will power the future of AI-assisted design. From large-scale models to groundbreaking research, our team builds the technical core of Canva's creative intelligence engine. We collaborate globally to ship research that makes a real impact-from smart editing to AI video tools-at massive scale. About the Role/Specialty As a Machine Learning Engineer, you'll lead efforts to scale and optimize the training system for our large-scale multimodal and foundation models. You'll design distributed training systems using Megatron-LM, NVIDIA NeMo, FSDP, and Triton-pushing the limits of performance across compute, memory, and communication layers. You'll sit at the intersection of systems and AI research, directly shaping how we train the models that will power Canva's next generation of products. What you'll do (responsibilities) You'll design, implement, and optimize large-scale machine learning systems for training You'll improve all
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TITLE: Senior Principal Applied Scientist (OCI/GEN AI)
EMPLOYER: Oracle
LOCATION: United States, US (unspecified)
SALARY: $170K-$355K
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 0 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/335774/
EXCERPT: Senior Principal Applied Scientist (OCI/GEN AI) United States, US At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. The Oracle Cloud Infrastructure (OCI) Generative AI science team is responsible for growing OCI's Generative AI, Agent and Analytics services. Our goal is to build foundational technologies and enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI, Database and Analytics. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality Generative AI models, Data Agent, Analytics solutions and services that delight our customers with the confidence that their data is safe and protected. Career Level - IC5 We are seeking an exceptional applied scientist to work on innovative Generative AI & Data Analytics modeling research and development efforts. As a Senior Principal Applied Scientist in Generative AI Science team, you will be architecting, building and deploying cutting-edge, high-quality AI models and solutions at scale. You will work with a team of world-class scientists in exploring new frontiers of Generative AI and collaborate with cross-functional teams including software engineers and product managers to deploy these globally for real-world enterprise use-cases at the largest scale. You will play a key role in shaping the future of
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TITLE: Software Engineer, Handshake AI Enterprise
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/dc18f669-4bc0-4c29-ac2a-429c814789b5
EXCERPT: Software Engineer, Handshake AI Enterprise San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.
---
TITLE: AI Red Teamer, Cybersecurity
EMPLOYER: Handshake
LOCATION: Seattle, WA, Seattle, Washington, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-28
APPLY_URL: https://jobs.ashbyhq.com/handshake/41629882-02cf-41c0-ba1c-5ae689183561
EXCERPT: AI Red Teamer, Cybersecurity Seattle, WA, Seattle, Washington, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About the Role
---
TITLE: Technical Lead Manager, Handshake AI
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-05
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/676862e8-473a-4fb7-982d-ef2a6246a49d
EXCERPT: Technical Lead Manager, Handshake AI San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.
---
TITLE: AI Red Teamer, LLM Generalist
EMPLOYER: Handshake
LOCATION: Seattle, WA, Seattle, Washington, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-27
APPLY_URL: https://jobs.ashbyhq.com/handshake/1e3a9711-d13c-4b79-8599-34dfb3133621
EXCERPT: AI Red Teamer, LLM Generalist Seattle, WA, Seattle, Washington, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About the
---
TITLE: AI Red Teamer, CBRNE
EMPLOYER: Handshake
LOCATION: Seattle, WA, Seattle, Washington, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-28
APPLY_URL: https://jobs.ashbyhq.com/handshake/26302821-a53a-44e4-b325-4d415c95f039
EXCERPT: AI Red Teamer, CBRNE Seattle, WA, Seattle, Washington, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About the Role
---
TITLE: Senior Member of Technical Staff (AI Infrastructure)
EMPLOYER: Oracle
LOCATION: Austin, TX, United States, US (unspecified)
SALARY: $79K-$178K
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 14 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/333513/
EXCERPT: Senior Member of Technical Staff (AI Infrastructure) Austin, TX, United States, US As a Senior Software Engineer within Oracle Cloud Infrastructure (OCI), you'll have the opportunity to solve large-scale, mission-critical engineering challenges with broad technical impact. Our AI Infrastructure Engineering team is building the services and platforms behind the world's largest AI mega-cluster. These systems support every phase of next-generation data center lifecycle management - including planning, design, deployment, provisioning, operations, repair, and expansion. The platform enables OCI to scale existing regions, rapidly launch new ones, and deliver the infrastructure powering the next wave of AI innovation. We are looking for experienced engineers who thrive in highly technical environments and are passionate about building scalable, reliable, and highly available distributed systems. You will work on foundational infrastructure services that directly influence the growth and reliability of OCI's AI cloud platform. If you enjoy solving complex engineering problems, operating at massive scale, and building systems that power cutting-edge AI infrastructure, we'd like to hear from you. As a Senior Software Engineer, you will lead the design and development of key components within Oracle Cloud Infrastructure. You should be a strong software engineer with deep distributed systems expertise, capable of working across all layers of the stack - from low-level systems and performance optimization to large-scale service architecture and distributed workflows. You will: Design, develop, and operate highly scalable, resilient cloud services Drive architecture and technical direction for critical infrastructure systems Build and optimize distributed systems for performance, reliability, and scale Collaborate
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TITLE: ML Performance Benchmarking Engineer
EMPLOYER: Cerebras Systems
LOCATION: Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7669166003
EXCERPT: ML Performance Benchmarking Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The Inference Core Platform group is at the heart of Cerebras' mission to deliver the world's fastest AI inference. Our team builds the foundational software and hardware infrastructure that powers low-latency, high-speed, high-throughput deployment on the Cerebras Wafer-Scale Engine (WSE). We are responsible for the full stack-from model compilation and scheduling down to custom hardware kernels and driver development. The ML Performance Benchmarking team plays a pivotal role in shaping the performance and scalability of AI inference on one of the most
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TITLE: AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps
EMPLOYER: United Parcel Service
LOCATION: CHENNAI, India (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-07
APPLY_URL: https://hcmportal.wd5.myworkdayjobs.com/Search/job/IN---TDC-1-IN110/AI-Application-Architect---AI--ML--GenAI--GCP--IBM-Watsonx--Vertex-AI--Python--MLOps_R25032277/apply
EXCERPT: AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps CHENNAI, India Job Summary. We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivotal role in designing and delivering enterprise-scale AI and Generative AI (GenAI)...
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TITLE: Sr. Manager – Data & AI Support Engineering
EMPLOYER: Databricks
LOCATION: Plano, Texas (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-04
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
APPLY_URL: https://databricks.com/company/careers/open-positions/job?gh_jid=7914730002
EXCERPT: Sr. Manager – Data & AI Support Engineering Plano, Texas P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. Mission Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads. - Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality. - Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely. - Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams. - Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls. - Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence. Outcomes - Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience. - Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers. - Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization. - Lead and
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TITLE: Field Marketing & Events Manager, Public Sector
EMPLOYER: Scale AI
LOCATION: Washington, DC (unspecified)
SALARY: $142K-$178K
POSTED: 2026-03-05
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4670010005
EXCERPT: Field Marketing & Events Manager, Public Sector Washington, DC At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. As Scale continues to build and develop its field marketing and event program within the public sector space, we are looking for an Events & Field Marketing Manager to support our U.S. Federal Government team in their event and field marketing initiatives including but not limited to third-party trade show sponsorships, Scale hosted executive events, Scale hosted practitioner events and meetups, and our annual flagship AI Leadership Summit. You will be part of a rapidly growing team with the opportunity to manage and execute events from start to finish, drive lead generation and pipeline growth, and plan event programming with the largest names in AI. The successful candidate will have a solid understanding of the U.S. Federal Government markets, strong project management skills, a strategic mindset, and a passion for public sector work. You will: - Execute all planning and logistics for all federal executive dinners, meetups, happy hours, and sponsored trade shows - Establish event activities in line with sales goals and deal acceleration, prioritizing goals from the Federal team leadership and Business Development team on event location and audience - Manage contractor relationships including event production firms and outside vendors, and event budgets - Align with growth marketing on marketing campaigns and marketing qualified lead (MQL) reporting - Track event campaign performance, measuring ROI, results, and metrics through
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TITLE: Technical Program Manager (Computer Vision), Public Sector
EMPLOYER: Scale AI
LOCATION: Washington, DC (unspecified)
SALARY: $166K-$249K
POSTED: 2026-05-04
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4692201005
EXCERPT: Technical Program Manager (Computer Vision), Public Sector Washington, DC Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We're building enterprise-grade computer vision solutions and delivering them into operational use cases that matter. We're hiring a technical program manager (TPM) to lead and coordinate delivery of computer vision workflows for a national security customer. As a TPM on our public sector delivery team, you will own or support a customer account plan, triage customer technical issues, use data and analytics to align internal resources around Scale's hardest problems, and drive the creation of tools that add direct value to Scale's Public Sector customers. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope computer vision use cases that Scale's engineering team will build and you will ultimately refine - Lead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Learn technical concepts and tools to necessary depth, leveraging that expertise to create solutions from scratch or drastically improve existing solutions - Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domain We have a diverse team with a variety of skill sets, many have: - A
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TITLE: Director of Product (m/f/d) - SaaS/AI
EMPLOYER: voize
LOCATION: Berlin | Hybrid | Remote (hybrid)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/voize/2c253b0e-ad1c-4e02-9e4e-c916160df4ef
EXCERPT: Director of Product (m/f/d) - SaaS/AI Berlin | Hybrid | Remote 🎤 WHY VOIZE? BECAUSE NURSES DESERVE THEIR TIME BACK. We're building the AI companion for Europe's 2M+ frontline care workers. Today, 2,000+ care facilities and 200,000+ nurses use voize every shift - and our AI gives them back up to 30% of their time: time to care, to connect, to be present with the people who need them most. We recently closed a €50M Series A led by Balderton Capital, with HV Capital and Y Combinator - but what matters more: we're already live at scale in one of the hardest environments to build in. Why now? We've crossed product-market fit - and healthcare systems globally are under massive pressure: staff shortages, rising demand, and increasing complexity. The next 24 months are the move from breakout startup to category leader - scaling from 200,000 to 500,000+ nurses, from Germany to a multi-country footprint. 💡 YOUR MISSION: BUILD THE PRODUCT SYSTEM THAT SCALES AI IN FRONTLINE HEALTHCARE As Director of Product, you lead the evolution of voize's product organisation and platform - defining how AI becomes part of everyday workflows for thousands of frontline care workers. You own the roadmap, build and scale a high-performing product team whilst navigating multi-vertical complexities. Your role sits at the center of the company: - turning complex, real-world care processes into intuitive product experiences - turning AI capabilities into reliable, everyday usage - turning product quality into operational efficiency at scale You ensure we
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TITLE: Enterprise GTM Leader
EMPLOYER: CoreWeave
LOCATION: San Francisco, CA, Sunnyvale, CA, Livingston, NJ New York, NY, Bellevue, WA (unspecified)
SALARY: $191K-$281K
POSTED: 2026-03-19
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://coreweave.com/careers/job?4662955006&board=coreweave&gh_jid=4662955006
EXCERPT: Enterprise GTM Leader San Francisco, CA, Sunnyvale, CA, Livingston, NJ New York, NY, Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: CoreWeave is building the infrastructure powering the AI economy. As enterprises rapidly move from experimentation to production AI systems, the need for specialized GPU infrastructure and scalable deployment frameworks has never been greater. CoreWeave's cloud platform is designed specifically for high-performance AI workloads, enabling organizations to train, fine-tune, and deploy large-scale models faster and more efficiently. The Specialists and Integrations team sits at the center of this transformation. Our mission is to ensure the world's most advanced enterprises don't just purchase compute - they successfully operationalize AI on CoreWeave at massive scale. As the Enterprise Technical GTM Leader, you will define and execute the technical go-to-market strategy for CoreWeave's most strategic enterprise customers. You will partner with Sales, Solutions Architecture, Product, and Engineering to guide complex AI infrastructure deployments from initial proof-of-concept to full production environments running at scale. This is a highly visible leadership role responsible for shaping how enterprises adopt GPU infrastructure for next-generation
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TITLE: AI Research Scientist, SysML - FAIR
EMPLOYER: Meta
LOCATION: Menlo Park, CA; Boston, MA; New York, NY (unspecified)
SALARY: $184K-$257K
POSTED: 2026-06-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.metacareers.com/jobs/954925830524757/
EXCERPT: AI Research Scientist, SysML - FAIR Menlo Park, CA; Boston, MA; New York, NY Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals who are experienced in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. The mission of Meta FAIR's SysML research is to advance the state of AI through open science innovations. We explore, design, and build ML systems and infrastructures at scale with usability, efficiency, and sustainability as design principles. Some aspects of this role include enabling distributed training at an unprecedented scale through advancements and development in training library and authoring components, such as cuBLAS, cuDNN, FlashAttention, training performance acceleration through hardware-software co-design. Responsibilities: - Carry out cutting-edge research to advance the science and technology of machine learning systems - Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities) - Contribute research that leads to innovations in: scalable machine learning systems, resource-efficient AI data and algorithm scaling and neural network architectures, memory and energy-efficient AI systems, environmentally-sustainable AI system and hardware designs - Devise better data-driven models of AI system design and optimization - Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results -
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TITLE: Startup Scale Program Manager, Startup Scale Programs
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $83K-$130K
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10437684/startup-scale-program-manager-startup-scale-programs
EXCERPT: Startup Scale Program Manager, Startup Scale Programs Seattle, Washington, USA Amazon Web Services (AWS) is seeking a talented, driven, and detail-oriented Program Manager to join the Startup Acquisition & Customer Experience (ACE) team. Our organization is responsible for driving adoption of the AWS platform by startups around the world through scale programs that serve thousands of partners and their portfolio companies. In this role, you will own and operate large-scale startup programs end-to-end - driving process automation using AI tools, executing data-driven engagement strategies, and delivering measurable business impact. You will work at the intersection of program operations, technology, partners, and stakeholder coordination to ensure AWS remains the cloud platform of choice for startups globally. This is a unique opportunity to shape how AWS engages with the startup investor ecosystem (VCs, accelerators, incubators) at scale. You will also play a key role in driving AWS cloud growth opportunities through programmatic engagement, referral motions, and AI-powered enablement workflows. Key job responsibilities • Own end-to-end program operations for scale startup programs, including onboarding workflows, campaign management, performance monitoring, and business reviews. • Design and execute scale engagement motions (webinars, newsletters, office hours, partner communications) using data-driven prioritization and salesforce campaign management. • Scale cloud migration programs by driving referral motions into AI migration experiences, coordinating with Operations on partner tooling, and enabling consulting partners to launch migration opportunities. • Serve as human-in-the-loop for AI-driven partner engagement workflows - monitoring automated outreach, triaging escalations, and ensuring quality across high-volume partner communications. • Design,
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TITLE: Senior Technical Program Manager – AI Infrastructure, Site Operations
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-16
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7522548003
EXCERPT: Senior Technical Program Manager – AI Infrastructure, Site Operations Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role This Sr. TPM role owns site and data center operations programs supporting Cerebras' AI Cloud and customer deployments. The position sits at Sunnyvale HQ and works closely with Hardware Engineering, Inference Engineering, and Operations leadership to ensure Cerebras systems are reliably deployed, operated, and scaled. This is a highly technical, execution-focused TPM role with strong emphasis on operational readiness, cross-functional coordination, and metrics/KPIs. Responsibilities - Own end-to-end technical programs for data center and site operations - Act as
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TITLE: Gen AI Engineering Senior Director
EMPLOYER: U.S. Bancorp
LOCATION: Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
K401_MATCH: yes (not source-backed)
APPLY_URL: https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Chicago-IL/Gen-AI-Engineering-Senior-Director_2026-0016498/apply
EXCERPT: Gen AI Engineering Senior Director Chicago, IL, United States The Gen AI Engineering Senior Director leads the strategy, architecture, and delivery of enterprise-scale AI platforms, including GenAI, machine learning, and agentic AI capabilities. The Director ove...
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TITLE: Construction Manager - Building
EMPLOYER: Crusoe
LOCATION: Warrenton, MO - US, Warrenton, MO, United States (unspecified)
SALARY: $135K-$170K
POSTED: 2026-06-08
K401_MATCH: yes (not source-backed)
MATCH_401K_PCT: 4
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/crusoe/7a5f5e8e-82a3-40d6-a3f2-25a446d803b3
EXCERPT: Construction Manager - Building Warrenton, MO - US, Warrenton, MO, United States Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe is expanding hyperscale AI data center infrastructure across the U.S., delivering large-scale, mission-critical facilities that support America's leadership in AI and high-performance computing. We are building at a pace and scale that requires construction
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TITLE: Software Engineer, Distributed Systems
EMPLOYER: Fal
LOCATION: San Francisco (unspecified)
SALARY: $180K-$250K
POSTED: 2025-07-21
APPLY_URL: https://job-boards.greenhouse.io/fal/jobs/4009192009
EXCERPT: Software Engineer, Distributed Systems San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role: You are an experienced software engineer who thrives on building large-scale computing platforms. You have deep expertise in large scale distributed systems that deal with high complexity, a lot of traffic and data. You know how to achieve reliability and scale with minimum operational load. Key responsibilities - Build our core Python/Rust platform: request routing, AI workload orchestration, scheduling, GPU autoscaling, large scale file storage, queueing, etc - Produce forward designs for platform evolution as we scale to 100x current traffic and need to provide low latency across the world - Leverage AI to an extreme level to automate the mundane parts of building complex but reliable systems - Profile and tune low level CPU and memory performance Requirements - 3+ years experience building distributed compute and orchestration platforms in Python or Rust - Strong understanding of distributed systems fundamentals:
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TITLE: Staff Software Engineer, Enterprise GenAI
EMPLOYER: Scale AI
LOCATION: San Francisco, CA; New York, NY (unspecified)
SALARY: $252K-$315K
POSTED: 2025-05-27
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4569678005
EXCERPT: Staff Software Engineer, Enterprise GenAI San Francisco, CA; New York, NY Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: - Own large new areas within our product - Work across backend, frontend, and interacting with LLMs and ML models - Deliver experiments at a high velocity and level of quality to engage our customers - Work across the entire product lifecycle from conceptualization through production - Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: - 7+ years of full-time engineering experience, post-graduation - Experience scaling products at hyper growth startups - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Python or Javascript/Typescript, and SQL - Experience with Kubernetes - Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and
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TITLE: SDE, AI Infrastructure, AFT AI
EMPLOYER: Amazon
LOCATION: Bellevue, Washington, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10437843/sde-ai-infrastructure-aft-ai
EXCERPT: SDE, AI Infrastructure, AFT AI Bellevue, Washington, USA Are you excited about developing novel agentic AI solutions and leveraging them to automate Amazon operations? Are you looking for opportunities to build and deploy them on real-world problems at a truly vast scale with global impact? As part of AFT AI, we are on a mission to build a new generation of dynamic end-to-end agentic solutions for our warehouses. These models will be able to understand and make use of petabytes of human-centered as well as process information from our warehouse systems and robotic work cells, and learn to perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for a Software Development Engineer who will lead the engineering effort. This includes developing the infrastructure to support AI research and development at scale, and the production systems that allow our agentic solutions to operate across a wide spectrum of processes within Fulfillment Technology and Robotics. Together, we will be pushing beyond the state of the art GenAI to automate one of the most complex systems in the world: Amazon's Fulfillment Network. Key job responsibilities * Design and Develop infrastructure for evaluation and benchmarking of agentic AI model that impact the entire fulfillment network. * Design and Develop end-to-end training and inference pipelines to accelerate agentic AI model development while optimizing GPU usage. * Transform experimental AI artifacts from research into scalable systems by incorporating robust architectural components and engineering best practices. * Lead and
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TITLE: Staff Full-Stack Software Engineer, (Forward Deployed), GPS
EMPLOYER: Scale AI
LOCATION: London, UK (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-24
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4676610005
EXCERPT: Staff Full-Stack Software Engineer, (Forward Deployed), GPS London, UK Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for custom LLMs - Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you'll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we're not just building AI solutions-we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. You will: - Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation - Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. - Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. - Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. - Partner with cross-functional leadership to
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TITLE: Staff FullStack Software Engineer, (Forward Deployed), GPS
EMPLOYER: Scale AI
LOCATION: Doha, Qatar (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-24
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4673314005
EXCERPT: Staff FullStack Software Engineer, (Forward Deployed), GPS Doha, Qatar Scale's rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for custom LLMs - Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you'll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we're not just building AI solutions-we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. You will: - Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation - Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. - Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. - Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. - Partner with cross-functional leadership to
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TITLE: Senior Cybersecurity Expert – Supply Chain Resilience
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $203K-$306K
POSTED: 2026-05-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200661655/senior-cybersecurity-expert-supply-chain-resilience?team=OPMFG
EXCERPT: Senior Cybersecurity Expert – Supply Chain Resilience Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. As an exceptional Senior Cybersecurity Expert in Global Sourcing & Supply Management, you will lead a transformational initiative safeguarding our global supply chain ecosystem of diverse suppliers against rapidly evolving, AI-empowered cyber threats. With a lean time and expanding scope, this role is pivotal in scaling AI-driven approaches to build attack-proof resilient operations at scale - transforming traditional point-in-time assessments into continuous, AI-augmented assurance while defending against adversaries weaponizing the same technologies. This is a high-impact leadership role requiring a unique blend of cybersecurity expertise, AI fluency, supply chain acumen, and proven ability to drive large-scale, cross-jurisdictional programs that deliver measurable results with constrained resources. You will tackle one of the most complex cybersecurity challenges in modern supply chain management, in an era where the pace of AI-driven offense is outstripping traditional defense models: Scale & Diversity: Drive consistent cyber resilience across over 1,000 global suppliers with vastly different maturity levels, IT dependencies, manufacturing processes, AI adoption maturity, and infrastructure capabilities spanning multiple geographies AI-Era Threat Landscape: Defend against an adversary ecosystem that is rapidly adopting agentic AI, automated reconnaissance, AI-generated social engineering, deepfake-enabled fraud, and autonomous attack orchestration - while suppliers themselves introduce new attack surfaces through their own
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TITLE: Scale Customer Engineer, EMEA Market
EMPLOYER: Aircall
LOCATION: Paris Office (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-21
APPLY_URL: https://jobs.lever.co/aircall/5dd5514c-0f39-4c3a-8ec3-9d3c2d9ebe29
EXCERPT: Scale Customer Engineer, EMEA Market Paris Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. About the Role: Scale Customer Engineers (SCEs) ensure Aircall's long-tail and SMB/Core customers onboard successfully, adopt the product quickly, and stay healthy through proactive and reactive engagement. They are
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TITLE: Site Reliability Engineer - Ops & Automation
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-14
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7497712003
EXCERPT: Site Reliability Engineer - Ops & Automation Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are building a high-performance SRE function to support one of the world's fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE), helping deliver infrastructure for frontier-class models from leading model builders such as OpenAI. This role offers immediate ownership of real production systems at a growing scale, direct mentorship from seasoned engineers, and close collaboration with incoming Staff SREs who will focus on long-term automation. After ~1 month of shared hands-on operations with the Staff
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TITLE: System Software Engineer (Embedded)
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $175K-$275K
POSTED: 2026-02-17
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7628229003
EXCERPT: System Software Engineer (Embedded) Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. The Role As part of the Embedded Software team, you will help build the critical software foundation that powers the Cerebras Wafer Scale Engine (WSE)-the world's largest AI processor. Our team owns a diverse range of embedded and system level components that enable the WSE to operate reliably at scale, including microcontroller firmware, wafer level monitoring logic, system administration services, and the Linux platform and BSP layers that keep the entire system running smoothly. This role exists at the intersection of embedded systems, platform engineering, and
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TITLE: Scale Customer Engineer - APAC
EMPLOYER: Aircall
LOCATION: Sydney Office (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
APPLY_URL: https://jobs.lever.co/aircall/b0f8b4b1-8de4-4c9e-9199-5b2911739c60
EXCERPT: Scale Customer Engineer - APAC Sydney Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. About the Role: Scale Customer Engineers (SCEs) ensure Aircall's long-tail and SMB/Core customers onboard successfully, adopt the product quickly, and stay healthy through proactive and reactive engagement. They are
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TITLE: Scale Customer Engineer, Southern Market
EMPLOYER: Aircall
LOCATION: Paris Office (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-21
APPLY_URL: https://jobs.lever.co/aircall/8863ce68-04c9-487d-994c-f8a8c4672c4d
EXCERPT: Scale Customer Engineer, Southern Market Paris Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. About the Role: Scale Customer Engineers (SCEs) ensure Aircall's long-tail and SMB/Core customers onboard successfully, adopt the product quickly, and stay healthy through proactive and reactive engagement. They are
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TITLE: Senior/Staff Engineer : Post Silicon- Bring Up
EMPLOYER: Cerebras Systems
LOCATION: Bengaluru, Karnataka, India; Sunnyvale, CA; Toronto, Ontario, Canada (unspecified)
SALARY: $175K-$275K
POSTED: 2026-02-16
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7628233003
EXCERPT: Senior/Staff Engineer : Post Silicon- Bring Up Bengaluru, Karnataka, India; Sunnyvale, CA; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. The Role: In this exciting role, you will be responsible for bring up and optimizations of Cerebras's Wafer Scale Engine (WSE). Suitable candidate will have experience delivering end to end solutions working closely with teams across chip design, system performance, software development and productization. Responsibilities: - On Wafer Scale Engines, develop and debug flows that embed well tested and deployable optimizations in production processes to reduce time and costs - Work on refining AI Systems across H/W-S/W
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TITLE: Vertical Lead
EMPLOYER: Goodfire
LOCATION: San Francisco, CA (unspecified)
SALARY: $250K-$375K
POSTED: 2026-04-14
APPLY_URL: https://job-boards.greenhouse.io/goodfire/jobs/5187681008
EXCERPT: Vertical Lead San Francisco, CA About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap-we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role We're looking for a Vertical Lead to own and scale a vertical. This role demands an unusual range: the technical depth to architect novel solutions, the leadership to direct a team of engineers and research scientists, the emotional intelligence to form successful partner relationships, and the vision to launch and scale a new market. This is an incredibly challenging
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TITLE: Senior Software Engineer, Operator Tooling
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-25
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/e3f93a22-f6dc-4a3a-b055-6bfe6db351c5
EXCERPT: Senior Software Engineer, Operator Tooling San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.
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TITLE: Senior Software Engineer, RLE
EMPLOYER: Handshake
LOCATION: Remote (USA), Remote, United States, San Francisco, CA (remote)
SALARY: Not disclosed
POSTED: 2026-04-22
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/f54b51ff-7e8e-4f38-a9c0-78b6f94f7b3d
EXCERPT: Senior Software Engineer, RLE Remote (USA), Remote, United States, San Francisco, CA About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About
---
TITLE: Staff Product Designer, Employer Experience
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-11
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/9663668d-488f-4fde-9ed3-d80def499ef2
EXCERPT: Staff Product Designer, Employer Experience San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.
---
TITLE: Staff Forward Deployed Engineer
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-09
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/669082a2-5e60-4c45-92cc-ecd6228e62ee
EXCERPT: Staff Forward Deployed Engineer San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About
---
TITLE: Principal AI Learning & Enablement Partner
EMPLOYER: Match Group
LOCATION: Los Angeles, California (unspecified)
SALARY: $200K-$250K
POSTED: 2026-05-13
K401_MATCH: yes (not source-backed)
MATCH_401K_PCT: 10
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://jobs.lever.co/matchgroup/66815647-0c52-4780-9772-3ff00d5e06cb
EXCERPT: Principal AI Learning & Enablement Partner Los Angeles, California Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and business operations - connecting brand-level innovation with scaled enablement across Match Group. You will partner closely with AI Brand Leads, business leaders, and functional teams to translate emerging AI capabilities into practical, role-specific applications that drive meaningful behavior change. This role plays a critical part in ensuring employees move beyond basic usage to more advanced, integrated applications of AI in their day-to-day work. This is not a traditional L&D role. It is a cross-brand enablement role focused on surfacing what's working, scaling best practices, and accelerating adoption across a decentralized ecosystem. This role may travel to key hub cities including Dallas, LA, New York, Vancouver, and Paris. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best teams, so we work together IRL in our LA, Palo Alto, or San Francisco office 3 days/week. Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and business operations - connecting brand-level innovation with scaled enablement across Match Group. You will partner closely with AI Brand Leads, business leaders,
---
TITLE: Software Engineer I, Annotations
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-04
APPLY_URL: https://jobs.ashbyhq.com/handshake/ec4ec9c6-dcf6-4ef8-8e8c-64c564837077
EXCERPT: Software Engineer I, Annotations San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About
---
TITLE: Staff Software Engineer, RLE
EMPLOYER: Handshake
LOCATION: Remote (USA), Remote, United States, San Francisco, CA (remote)
SALARY: Not disclosed
POSTED: 2026-04-23
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/488eea9a-a2b5-4081-ba4d-ef1c04a80603
EXCERPT: Staff Software Engineer, RLE Remote (USA), Remote, United States, San Francisco, CA About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About
---
TITLE: Manager, Strategic Projects
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-16
PARENTAL_LEAVE_WEEKS: 15 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/3e1f314d-a0dd-491a-9c8f-19f673ee3cbe
EXCERPT: Manager, Strategic Projects San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About the
---
TITLE: Staff Software Engineer, Consumer Experience
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-20
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/9c1fe075-be13-468f-bc0f-c8cfb5d62581
EXCERPT: Staff Software Engineer, Consumer Experience San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.
---
TITLE: Strategic Projects Lead, Coding
EMPLOYER: Handshake
LOCATION: India, Bengaluru, Karnataka (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-29
APPLY_URL: https://jobs.ashbyhq.com/handshake/1f996bb7-53b5-4150-be1e-4bdf183b83dc
EXCERPT: Strategic Projects Lead, Coding India, Bengaluru, Karnataka About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. We are building our India team
---
TITLE: Software Engineer II, Fellow Development
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
APPLY_URL: https://jobs.ashbyhq.com/handshake/4b3769f8-8be4-429a-9a1f-1bd3298fd31d
EXCERPT: Software Engineer II, Fellow Development San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.
---
TITLE: Strategic Projects Lead
EMPLOYER: Handshake
LOCATION: India, Bengaluru, Karnataka (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
APPLY_URL: https://jobs.ashbyhq.com/handshake/11193c7b-e34d-4a29-a14a-f1d4be438cf8
EXCERPT: Strategic Projects Lead India, Bengaluru, Karnataka About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. We are building our India team to
---
TITLE: Senior Researcher & Taxonomist (Contract)
EMPLOYER: Handshake
LOCATION: Remote (USA), Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/handshake/c0199060-6a27-4b27-8e21-da4f98f4f01e
EXCERPT: Senior Researcher & Taxonomist (Contract) Remote (USA), Remote, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About the Role
---
TITLE: Engineering Manager, RLE
EMPLOYER: Handshake
LOCATION: India, Bengaluru, Karnataka (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
APPLY_URL: https://jobs.ashbyhq.com/handshake/0fd4b779-02ca-437c-8005-35a74da08080
EXCERPT: Engineering Manager, RLE India, Bengaluru, Karnataka About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. We are building our India team to
---
TITLE: Fellow Experience Specialist (Contract)
EMPLOYER: Handshake
LOCATION: India, Bengaluru, Karnataka (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
APPLY_URL: https://jobs.ashbyhq.com/handshake/2aaf1437-1132-4a72-9945-e0bc02be88b7
EXCERPT: Fellow Experience Specialist (Contract) India, Bengaluru, Karnataka About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. We are building our India team
---
TITLE: Support Specialist, Contract
EMPLOYER: Handshake
LOCATION: Remote (USA), Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2026-05-28
APPLY_URL: https://jobs.ashbyhq.com/handshake/e9507060-81b9-44e2-b98e-c6dcf4c4c77b
EXCERPT: Support Specialist, Contract Remote (USA), Remote, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. The Role Handshake is looking
---
TITLE: Growth Operations Lead
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-17
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/d5ea1ac8-6b4b-4f79-98a7-f7077fb1c07e
EXCERPT: Growth Operations Lead San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. The Role
---
TITLE: Senior Manager, Forward Deployed Engineering
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-08
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/fb6f274a-ec59-497b-a119-8155c5d85190
EXCERPT: Senior Manager, Forward Deployed Engineering San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.
---
TITLE: Chief of Staff, CEO
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-19
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/919fd5ba-ae96-4b54-ba3d-72bd0488faf8
EXCERPT: Chief of Staff, CEO San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. The
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TITLE: Engineering Manager, AI
EMPLOYER: Vanta
LOCATION: Remote U.S. | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
NON_BIRTH_PARENT_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/vanta/cb12e9ef-d4c1-47fb-8581-038e29f61c6a
EXCERPT: Engineering Manager, AI Remote U.S. | Remote At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. This team helps automate audit readiness work while keeping customers in control. This is a rare opportunity to lead a zero-to-one build in one of the fastest-growing areas of our business, transforming Vanta into an AI-first platform. The team's mission is to make AI a core differentiator of Vanta by enabling and accelerating product innovation, and creating reliable, trustworthy, and high-quality customer experiences. The team is currently building out our Vanta Agent product, focused on downmarket and startup customers initially, with plans to scale the product to all customer segments. Core projects include agentic evidence collection, reducing manual work while ensuring the customer remains the final approver in all decisions. In this role, you'll manage a team that's scaling rapidly-currently 7 engineers with plans to grow to scale further throughout the year. You'll work closely with Vanta's AI platform team, product, and GRC subject matter experts to ship AI features that deliver magical customer experiences. Visit our Vanta Engineering Blog https://www.vanta.com/all-categories/engineering to learn more about what our team is working on! What you'll do as an Engineering Manager at Vanta: - Build and scale a high-performing
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TITLE: Senior Software Engineer, Full-Stack – Scale GP
EMPLOYER: Scale AI
LOCATION: San Francisco, CA; New York, NY (unspecified)
SALARY: $216K-$270K
POSTED: 2025-12-06
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4637484005
EXCERPT: Senior Software Engineer, Full-Stack – Scale GP San Francisco, CA; New York, NY Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. What You'll Do - Own major full-stack product areas , driving features from design through production deployment. - Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness. - Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. - Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. - Deliver experiments and new features quickly , maintaining high quality and tight feedback loops with customers. - Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP. - Adapt quickly -learning new technologies, frameworks, and tools as needed across the stack. Ideal Experience - 5+ years of full-time engineering experience , post-graduation. - Strong experience developing full-stack applications using React, TypeScript, and Python . - Experience scaling or shipping products at high-growth
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TITLE: Associate General Counsel, Product and Privacy
EMPLOYER: Scale AI
LOCATION: San Francisco, CA (unspecified)
SALARY: $265K-$331K
POSTED: 2026-05-12
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4694459005
EXCERPT: Associate General Counsel, Product and Privacy San Francisco, CA Scale is at the forefront of powering artificial intelligence. We believe that trust in AI is earned with high-quality data for training, fine-tuning, and evaluating AI systems. Our products are transforming how organizations build and deploy AI. Our customers are the world's most innovative model developers and enterprise and public sector entities looking to apply AI in their organizations. Come join us and work on the most exciting legal issues at the leading edge of artificial intelligence. We're seeking a thoughtful, multidisciplinary Associate General Counsel, Product & Privacy, to be a strategist and thought partner to our business teams in creating the next-generation platform for AI development. This lawyer will lead product and privacy legal initiatives for our cutting-edge products and will report to Scale's Senior Director and Associate General Counsel responsible for product counsel, privacy, and other areas. The ideal candidate will have a technology background; privacy expertise and fluency in AI, intellectual property, and consumer protection law; experience providing strategic legal guidance that advances data-driven business goals while facilitating regulatory compliance, managing legal risk, and enhancing customer trust; and a demonstrated ability to partner well with cross-functional teams, including superlative communication, collaborative problem-solving, initiative, empathy, urgency, and focus. You will: - Identify and manage legal risks in product development, including privacy, regulatory, licensing, intellectual property, and others. - Develop the product and privacy legal functions, with a focus on maturing, operationalizing, and scaling legal support in these areas. -
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TITLE: Paid Media Marketer
EMPLOYER: Cognition IP
LOCATION: San Francisco | OnSite | New York City (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/cognition/c42ae7ec-4636-48a0-b682-34ac1c0fb3c6
EXCERPT: Paid Media Marketer San Francisco | OnSite | New York City WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. About the Role We're looking for a hands-on digital marketer to own Cognition's paid channels and scale them from early traction to $1M+/month in spend. You'll manage our agency partners while running key channels yourself, build and refine our measurement infrastructure, and figure out which channels actually work for converting our target customers as we scale up spend. You might: - Run and optimize campaigns across Google, Meta, Tiktok, Instagram, Youtube, LinkedIn, Reddit, and X while managing budgets, testing creative, and driving down CAC week over week. - Manage our paid media agency relationship: set priorities, review performance, decide what stays outsourced vs. comes in-house as we scale. -
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TITLE: Manager, Business Operations
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7720168003
EXCERPT: Manager, Business Operations Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role This role is a high-leverage seat in that build and a deliberate apprenticeship into operating leadership. You will create the business operations, analytics, and execution system that keeps decision-ready insight flowing as the company scales. You will be embedded with operators, turning messy operational reality into durable processes, clear metrics, and repeatable operating rhythms. You will report to the Head of FP&A and work in close partnership with the COO and operations leadership. Why now Cerebras is scaling to meet accelerating demand for fast
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TITLE: Engineer, Supercomputing & Distributed Systems
EMPLOYER: Krea
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-03
APPLY_URL: https://jobs.ashbyhq.com/krea/ebe94024-eef6-4306-a019-10072ad0f4c9
EXCERPT: Engineer, Supercomputing & Distributed Systems San Francisco, California, United States About Krea At Krea, we are building next-generation AI creative tools. We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats-text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. Supercomputing / AI Infra at Krea We build and operate the infrastructure for Krea's research and inference. Distributed training, 1000+ K8s GPU clusters, petabyte scale data pipelines, etc. We build a lot of this from scratch - custom distributed datastores, job orchestration systems, and streaming pipelines that replace tools like Kafka and Ray for modern AI workloads at scale. Example projects: Distributed data systems - Design multi-stage pipelines that turn petabytes of raw data into clean, annotated datasets - Run classification models on billions of images - Deploy and combine LLMs to caption massive multimedia data GPU infrastructure - Manage distributed training and inference on 1000+ GPU Kubernetes clusters - Solve orchestration and scaling for large-scale GPU job processing - Scale workloads and research between clusters in multiple datacenters Distributed training - Profile and optimize dataloaders streaming thousands of images per second - Profile and debug InfiniBand networking on huge training runs - Build fault tolerance systems for large-scale pretraining - Collaborate with researchers on evolving RL infrastructure Applied ML pipelines
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TITLE: GTM AI Operations - Mexico
EMPLOYER: JumpCloud
LOCATION: MEXICO (for REQ Approvals) (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.lever.co/jumpcloud/dd9efe9f-8337-4d39-b6e9-4ca7dec2f095
EXCERPT: GTM AI Operations - Mexico MEXICO (for REQ Approvals) All roles at JumpCloud® are Remote unless otherwise specified in the Job Description. About JumpCloud® JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times. JumpCloud is Intelligent, Secure IT. About the Role JumpCloud is building an AI-first GTM engine designed to scale pipeline generation through automation, intelligent workflows, and operational leverage. This role will focus on the next evolution of outbound execution by combining AI, automation, data orchestration, and modern GTM tooling to build scalable outbound systems that improve efficiency, personalization, and pipeline generation. This is a hands-on builder role focused on deploying production-ready workflows, not just experimenting with AI tools. You will partner closely with Marketing, Sales Development, and Operations leadership to create agentic outbound programs that connect data, AI, sequencing, enrichment, and engagement systems into a unified outbound motion. You will help operationalize how modern outbound gets built at scale. What You'll Be Doing: Core Objectives: We're Looking For: Required Qualifications:
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TITLE: Deal Desk Manager
EMPLOYER: Snorkel AI
LOCATION: Redwood City, CA (Hybrid); San Francisco, CA (Hybrid) (hybrid)
SALARY: $160K-$240K
POSTED: 2026-05-11
APPLY_URL: https://job-boards.greenhouse.io/snorkelai/jobs/5993298004
EXCERPT: Deal Desk Manager Redwood City, CA (Hybrid); San Francisco, CA (Hybrid) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We are hiring a Deal Desk Manager to own and operationalize the end-to-end deal lifecycle as we scale to the next stage of growth. This role sits at the intersection of sales execution, commercial strategy, and operational rigor. You will partner closely across Sales, Finance, and Legal to ensure every deal is structured soundly, priced appropriately, approved efficiently, and executed cleanly. You will be the central point of coordination for commercial operations and the person responsible for building the processes, guardrails, and infrastructure that make this repeatable at scale. This is a foundational hire. You will build the deal desk function from the ground
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TITLE: Engineering Lead - Wise AI Assistant Platform
EMPLOYER: Wise
LOCATION: Budapest, , Hungary (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.smartrecruiters.com/Wise/744000127237720-engineering-lead-wise-ai-assistant-platform
EXCERPT: Engineering Lead - Wise AI Assistant Platform Budapest, , Hungary Company Description: Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . Job Description: The team you will join: Wise Assistant We're building Wise Assistant, a conversational AI that will become a central interface for managing money on Wise. This is a super visible and highly ambitious AI project The team is at the forefront of applied AI at Wise. We already automate 40% of customer support chats with LLMs, and we're pushing further: voice automation, agentic AI and becoming the conversational operating system at Wise. Part product, part R&D, always production-grade at scale. This role is a rare opportunity: Production AI at scale: Not a PoC, not an experiment. Real LLM systems serving millions of customers, with real stakes. R&D with impact. You'll read papers, prototype new approaches, and ship them to production. The team is pushing the frontier of what's possible with AI in fintech. In Budapest. One of very few opportunities to lead large-scale AI engineering locally. ​​​​​​ You will: Lead
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TITLE: Senior Applied Scientist, Applied AI Solutions GTM
EMPLOYER: Amazon
LOCATION: Dallas, Texas, USA (unspecified)
SALARY: $167K-$226K
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10442312/senior-applied-scientist-applied-ai-solutions-gtm
EXCERPT: Senior Applied Scientist, Applied AI Solutions GTM Dallas, Texas, USA Amazon Web Services (AWS) Applied AI Solutions (AAIS) is on a mission to make AI real for enterprises. We build and deploy production AI solutions that drive measurable business outcomes at scale, bringing together applied scientists, AI architects, business development professionals, and GTM specialists to help customers move from AI experimentation to production impact. Within AAIS, the GTM Acceleration team activates the field, measures impact, and scales what works. We are the connective tissue between AAIS product and science teams and the worldwide field organization, ensuring our AI solutions reach customers effectively, that we quantify the value we deliver, and that we build repeatable motions that scale globally. We are looking for an Applied Scientist who will serve as a force multiplier across our customer engagement teams, building the analytical foundations, predictive models, and reusable tooling that power our go-to-market strategy. You will work at the intersection of data science, machine learning, and business strategy, building models that quantify our value proposition, and creating scalable analytical assets that accelerate every engagement. This is a highly visible, high-impact role where your work directly influences how we demonstrate and measure the value of AWS AI solutions for enterprise customers. You will operate with significant autonomy, owning the scientific direction of your projects while collaborating with software engineers, product managers, and business stakeholders. You will identify the right methodology for each problem, whether that is a classical statistical approach, a modern deep learning
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TITLE: Applied AI Engineer, Global Public Sector
EMPLOYER: Scale AI
LOCATION: Doha, Qatar; London, UK (unspecified)
SALARY: Not disclosed
POSTED: 2024-05-01
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4413992005
EXCERPT: Applied AI Engineer, Global Public Sector Doha, Qatar; London, UK Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. At Scale, we're not just building AI solutions-we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we'd love to hear from you. You will: - Partner with public sector clients to deeply understand their challenges and define AI-driven solutions - Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models - Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets - Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of
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TITLE: Senior Software Engineer, AI Job Orchestration
EMPLOYER: firmus
LOCATION: Sydney, Australia (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-24
APPLY_URL: https://job-boards.greenhouse.io/firmus/jobs/5157063008
EXCERPT: Senior Software Engineer, AI Job Orchestration Sydney, Australia Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure - the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. Role Summary As a Senior Software Engineer on the AI and Applications team, you'll own the control plane that powers AI workload submission across Firmus AI Platforms. You'll design and build unified job submission APIs, CLI, and web interfaces for training, inference, and fine-tuning workloads on Kubernetes and Slurm-implementing RBAC, multi-tenant isolation, resource quotas, and intelligent scheduling policies (priority classes, pre-emption, fairness). You'll create template catalog for
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TITLE: Senior Software Engineer, Handshake AI
EMPLOYER: Handshake
LOCATION: San Francisco, CA, San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-16
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/handshake/6a644ba3-0afd-441c-a8d6-38e12ff0624a
EXCERPT: Senior Software Engineer, Handshake AI San Francisco, CA, San Francisco, California, United States About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.
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TITLE: Machine Learning Engineer
EMPLOYER: eBay Inc.
LOCATION: Amsterdam, North Holland, Netherlands (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://ebay.wd5.myworkdayjobs.com/apply/job/Amsterdam/Applied-Researcher_R0074047/apply
EXCERPT: Machine Learning Engineer Amsterdam, North Holland, Netherlands Exciting opportunity for a Machine Learning Engineer to join our Foundation Models team at eBay. Build, deploy, and optimize advanced AI and Generative AI systems for large-scale ecommerce. Collaborate with top researchers and engineers to shape the future of intelligent experiences at global scale. Grow your impact in a dynamic, innovative environment.
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TITLE: Advanced Technology: Compiler Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA; Vancouver, British Columbia, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-30
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7683606003
EXCERPT: Advanced Technology: Compiler Engineer Sunnyvale, CA; Vancouver, British Columbia, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE, and NeurIPS ) and
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TITLE: Advanced Technology: AI/ML Research Scientist
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7691353003
EXCERPT: Advanced Technology: AI/ML Research Scientist Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE,
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TITLE: Engineering Manager, Inference ML Runtime
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-24
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7677112003
EXCERPT: Engineering Manager, Inference ML Runtime Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role The Inference ML Engineering team at Cerebras builds the runtime, APIs, and systems that power the fastest generative AI inference platform in the world. As an Engineering Manager, Inference ML Runtime , you will lead a team responsible for designing and scaling the systems that enable seamless execution of state-of-the-art AI models on Cerebras hardware. You will operate at the intersection of machine learning, distributed systems, and high-performance runtime engineering , translating cutting-edge research into production-ready infrastructure to serve
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TITLE: Network Architect
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-13
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7527601003
EXCERPT: Network Architect Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Network Architect on the Cluster Architecture Team, you will work closely with the vendors, internal networking teams and industry peers to develop best-in-class front-end datacenter and interconnect architecture of the current and future generations of the Cerebras AI clusters. You will be responsible for developing proof-of-concept of new network designs and features enabling resilient and reliable network for AI workloads. The role will require cross-functional collaboration and interaction with diverse hardware components (e.g., network devices and the Wafer-Scale Engine) as well as software
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TITLE: Senior Data Engineer, AI Systems
EMPLOYER: Movable Ink
LOCATION: Movable Ink - Toronto (unspecified)
SALARY: CAD 144K-188K
POSTED: 2026-06-05
APPLY_URL: https://movableink.com/job-listing?gh_jid=7963874
EXCERPT: Senior Data Engineer, AI Systems Movable Ink - Toronto Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world's most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan. The AI Systems team owns the core recommendations engine and ML platform that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a Senior Data Engineer, you will own the Spark-based data pipelines and data infrastructure at the heart of this system - building, scaling, and optimizing the data layer that feeds our production ML models. You will work alongside ML engineers and scientists in a collaborative environment, contributing data pipelines and products to power our core recommender systems and our DaVinci Personalization product. This is an opportunity to work end-to-end on large-scale data systems that touch millions of customers, on a team working at the intersection of data engineering and machine learning. This role will be reporting to the Director of Engineering (AI/ML). Responsibilities: - Build, maintain, and optimize production data pipelines that power AI-driven personalization at scale across content selection, send-time optimization, subject line personalization, and frequency capping - Own and scale Spark-based batch pipelines, including cluster configuration, tuning, and performance optimization across GCP Dataproc - Build and maintain our ML Data
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TITLE: Director / Senior Director, Critical Facility Operations
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7762028003
EXCERPT: Director / Senior Director, Critical Facility Operations Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. The Role At Cerebras, we build systems that redefine the scale of compute. That ambition extends beyond silicon into the infrastructure that powers it. We are looking for a Director / Sr. Director of Critical Facility Operations to lead the environments that enable next-generation AI workloads. This leader will own availability, operational integrity, and performance across a colocation-driven data center footprint-ensuring our infrastructure operates with precision, predictability, and zero room for error. This is not a traditional facilities role. You will operate at
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TITLE: Staff Software Engineer, Inference Cloud
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2024-07-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/6053533003
EXCERPT: Staff Software Engineer, Inference Cloud Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Location: Sunnyvale We're hiring a Staff Engineer to own major areas of the architecture of our Inference Cloud Platform. This team owns the cloud layer behind our Inference Service, with responsibility for availability, latency, reliability, and global scale. This is a hands on IC role for an engineer who wants to work on the hardest distributed systems problems in the stack: multi-region traffic architecture, graceful degradation under bursty AI workloads, performance at high QPS, and the operating model for a platform that has to stay
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TITLE: Applied Machine Learning Research Scientist
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-05
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7655035003
EXCERPT: Applied Machine Learning Research Scientist Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As an Applied Machine Learning Research Scientist at Cerebras, you will play a key role in turning modern machine learning techniques into scalable, high-performance systems. This role sits at the intersection of modeling and systems focused not on publishing new algorithms, but on understanding how they work and making them run effectively at scale. Your work will directly impact how large language models (LLMs) are trained, optimized, and deployed on one of the most advanced AI platforms in the
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TITLE: Kernel Engineer
EMPLOYER: Cerebras Systems
LOCATION: Bengaluru, Karnataka, India (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7486714003
EXCERPT: Kernel Engineer Bengaluru, Karnataka, India Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture. You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize
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TITLE: Senior ML Software Engineer - Integration & Quality
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-05
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7620384003
EXCERPT: Senior ML Software Engineer - Integration & Quality Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are looking for a Software Engineer to join the ML Integration and Quality team at Cerebras. This team sits at the intersection of machine learning infrastructure, distributed systems, and hardware/software co-design. In this role, you will help integrate and validate the software stack that powers the Cerebras AI platform, ensuring large-scale ML workloads run reliably and efficiently across our systems. You will work closely with engineers across runtime, compiler, kernel, and hardware teams to debug
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TITLE: Senior Mechanical Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $190K-$230K
POSTED: 2026-01-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7522557003
EXCERPT: Senior Mechanical Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Senior Mechanical Engineer at Cerebras, you will lead the design of mechanical systems for our next-generation wafer-scale engine. Your responsibilities will include ensuring compliance with specifications, validating manufacturability, and delivering a high-quality product in a fast-paced environment-tackling some of the most challenging problems in the rapidly evolving AI space. In this role, you will develop mechanical infrastructure for Cerebras' custom hardware system. - Rapidly iterate on designs and analysis to inform high level systems trades and steer overall product direction. - Provide
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TITLE: Mechanical Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $180K-$200K
POSTED: 2026-05-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7752149003
EXCERPT: Mechanical Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. The Role: As a Mechanical Engineer at Cerebras, you will lead the design of mechanical systems for our next-generation wafer-scale engine. Your responsibilities will include ensuring compliance with specifications, validating manufacturability, and delivering a high-quality product in a fast-paced environment-tackling some of the most challenging problems in the rapidly evolving AI space. In this role, you will develop mechanical infrastructure for Cerebras' custom hardware system. - Rapidly iterate on designs and analysis to inform high level systems trades and steer overall product direction. - Provide comprehensive support for
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TITLE: Machine Learning Engineer, Global Public Sector
EMPLOYER: Scale AI
LOCATION: Doha, Qatar; London, UK (unspecified)
SALARY: Not disclosed
POSTED: 2024-05-01
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4413274005
EXCERPT: Machine Learning Engineer, Global Public Sector Doha, Qatar; London, UK Scale's mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don't just implement tools; we conduct applied research to solve the unique challenges of sovereign AI. Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale. The Mission - Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy. - Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments. - Model Optimisation & Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques. What You Will Do - Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols,
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TITLE: Enterprise Account Executive (Financial Services)
EMPLOYER: Scale AI
LOCATION: New York, NY; San Francisco, CA (unspecified)
SALARY: $200K-$230K
POSTED: 2026-04-28
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4689917005
EXCERPT: Enterprise Account Executive (Financial Services) New York, NY; San Francisco, CA The Enterprise Account Executive (Financial Services) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic financial services customers and prospects. This role is focused on selling complex, agentic AI solutions -autonomous workflows powered by LLMs and human-in-the-loop systems - into large banks, insurers, asset managers, and fintechs. You will operate as a strategic partner to senior executives across the business, technology, and risk organizations - helping them reimagine core workflows (e.g., underwriting, fraud detection, KYC, claims, research, and operations) through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs. You Will: - Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations - Sell agentic AI solutions by mapping Scale's capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research) - Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy - Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption - Lead complex
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TITLE: AI Solutions Engineer - Mergers & Acquisitions
EMPLOYER: Roche Holding AG
LOCATION: Warsaw, Masovian, Poland (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
APPLY_URL: https://roche.wd3.myworkdayjobs.com/roche-ext/job/Warsaw/AI-Full-Stack-Engineer---Mergers---Acquisitions_202603-108197-1/apply
EXCERPT: AI Solutions Engineer - Mergers & Acquisitions Warsaw, Masovian, Poland Our work spans multiple high-impact initiatives, including AI-enabled partnering solutions, intelligent data products, workflow automation, and enterprise-scale data and AI integrations. You will work...
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TITLE: AI Security Architect- ARC, Apple Information Security
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $172K-$259K
POSTED: 2026-06-11
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200667273/ai-security-architect-arc-apple-information-security?team=SFTWR
EXCERPT: AI Security Architect- ARC, Apple Information Security Cupertino, United States of America We are seeking an AI Security Architect with deep expertise across security architecture, AI/ML systems, and threat modeling to join the Apple Information Security (AIS) Assurance ARC team. You will own security guidance for the most critical, high-risk AI initiatives across Apple, shaping architecture patterns, conducting design reviews, selecting or building security solutions for AI-driven environments, and translating expert decisions into AI-powered guidance that scales across the entire organization. Your work will directly determine how safely and confidently Apple adopts AI at scale. Our scope spans across Apple's products, services, and operations, where the adoption of AI is accelerating at an unprecedented pace. The Assurance ARC organization is entrusted with providing expert security architecture guidance for these AI systems, and your contributions will directly impact our ability to protect against evolving AI-specific threats while enabling the business to innovate securely at scale. In this high-impact role, you will bridge the gap between traditional security practices and emerging AI risks. Operating under Zero Trust principles and Secure by Default framework, you will partner with engineering, data science, product, and compliance teams to build "paved roads" - pre-approved, reusable, secure-by-default patterns that enable teams to build AI-driven systems without a bespoke review for every project. you will amplify the effectiveness of the entire security function, by reducing inbound request volume through proactive foundational work and providing developers, ML engineers, and traditional security architects with clear guidance and standardized controls, Leveraging
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TITLE: Staff Backend & AI Engineer, Madrid
EMPLOYER: Aircall
LOCATION: Madrid Office (unspecified)
SALARY: EUR 80K-120K
POSTED: 2026-06-03
APPLY_URL: https://jobs.lever.co/aircall/d093fdcb-f648-46e1-8b4f-8e547ebe673c
EXCERPT: Staff Backend & AI Engineer, Madrid Madrid Office Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by
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TITLE: Senior Product Marketing Manager, AI Inference
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-24
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7628238003
EXCERPT: Senior Product Marketing Manager, AI Inference Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The AI conversation moves fast - new models ship weekly, benchmarks shift overnight, and the community's attention resets constantly. Cerebras has a massive speed advantage in inference, and this role exists to make sure that advantage is visible, understood, and top-of-mind wherever developers and AI builders are paying attention. As Senior Product Marketing Manager, you'll own realtime product marketing for Cerebras inference. You'll create high-impact technical content - blog posts, benchmark analyses, social threads - that positions Cerebras at the center
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TITLE: Scaled Services Strategy and Operations Manager III, AI Transformation, Google Cloud
EMPLOYER: Google
LOCATION: Chicago, IL, USA; +3 more (unspecified)
SALARY: $186K-$270K
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckQD_9fT8xbBrdKjUYxHqkyxbcLggmPg4gO6Cg3DvIFcZEjsACxwdTEA4wx3EgfSxyKGaCWfqsZ892rAcZYGzMWDadLVR0v3VgnqqXk8uuREUdyrHRv0WpqEov_Vb8Q%3D%3D_V2&loc=US&title=Scaled+Services+Strategy+and+Operations+Manager+III
EXCERPT: Scaled Services Strategy and Operations Manager III, AI Transformation, Google Cloud Chicago, IL, USA; +3 more The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. As the Scaled Services Operations Lead, your objective is to fundamentally rewire how the Google Cloud ecosystem operates. We cannot scale our global sales and services simply by adding headcount; we must scale exponentially through intelligent automation. Your objective is to hunt down complex, manual bottlenecks across our business and replace them with transformational AI, automation, and agentic solutions. You will own the entire lifecycle of operational transformation: from mapping out the initial end-to-end business process and analyzing the data, to actually building the solution. You will be expected to self-build the initial V1 AI prototypes. When those prototypes are ready to scale globally, you will serve as the crucial bridge to our engineering teams, translating your operational needs into precise, foolproof technical requirements. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $186000 - $270000
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TITLE: Scaled Services Strategy and Operations Manager II, AI Transformation, Google Cloud
EMPLOYER: Google
LOCATION: Chicago, IL, USA; +3 more (unspecified)
SALARY: $152K-$222K
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckYIY3RGuY4_ZktT1kqKNWCvsHBwP1y9ZOATayK8QjowREjsACxwdTK3nQryXFQ6lf1jhLUnmPhE5TcRtTIEOJTjFWtgIvMxCiRtadmbMLMZymkWcLpAOs_T-G2frgw%3D%3D_V2&loc=US&title=Scaled+Services+Strategy+and+Operations+Manager+II
EXCERPT: Scaled Services Strategy and Operations Manager II, AI Transformation, Google Cloud Chicago, IL, USA; +3 more The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. As the Scaled Services Operations Manager, your objective is to fundamentally rewire how the Google Cloud ecosystem operates. We cannot scale our global sales and services simply by adding headcount; we must scale exponentially through intelligent automation. Your objective is to hunt down complex, manual bottlenecks across our business and replace them with transformational AI, automation, and agentic solutions. You will own the entire lifecycle of operational transformation: from mapping out the initial end-to-end business process and analyzing the data, to actually building the solution. You will be expected to self-build the initial V1 AI prototypes. When those prototypes are ready to scale globally, you will serve as the crucial bridge to our engineering teams, translating your operational needs into precise, foolproof technical requirements. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $222000
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TITLE: Field Engineer, Public Sector
EMPLOYER: Scale AI
LOCATION: Colorado Springs, CO; St. Louis, MO; Washington, DC (unspecified)
SALARY: $190K-$290K
POSTED: 2025-01-19
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4518690005
EXCERPT: Field Engineer, Public Sector Colorado Springs, CO; St. Louis, MO; Washington, DC Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This
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TITLE: Senior Customer Success Manager
EMPLOYER: firmus
LOCATION: San Francisco, California, US (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
APPLY_URL: https://job-boards.greenhouse.io/firmus/jobs/5178463008
EXCERPT: Senior Customer Success Manager San Francisco, California, US Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure - the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. Why you'll love working here As an NVIDIA Cloud and Engineering partner in Asia Pacific, you will gain skills, experience, and exposure across the AI industry and be part of shaping what this industry looks like for decades to come. We are founder-led, not a big corporate. Decisions happen fast, our leaders are accessible, and there's minimum bureaucracy between you and the work. Ownership comes early. Whatever
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TITLE: Founding AI & ML Engineer
EMPLOYER: Concourse
LOCATION: New York City | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/concourse/857ee995-cc90-4a76-a15b-c5951b3d385a
EXCERPT: Founding AI & ML Engineer New York City | OnSite ABOUT CONCOURSE Concourse builds AI agents for corporate finance teams. We connect core enterprise data sources and deploy AI agents that can analyze the data through natural language, deliver insights in seconds, and enable our customers to make better decisions. Since launching less than a year ago, Concourse has grown extremely rapidly. Our AI agents are deployed across hundreds of high-growth companies, unicorn startups like Persona, Front, Lightmatter, and large public companies - including multiple Fortune 500 customers. Concourse is backed by Andreessen Horowitz, CRV, YC, Standard Capital, and 50+ angel investors from companies like OpenAI, Cursor, Vercel, Brex, Carta, Rippling, 1Password, Deel, Jeeves, and DoorDash. ABOUT THE ROLE We're hiring a Founding AI & ML Engineer to play a key role in the engineering behind our AI agents and define how finance teams interact with LLMs at scale. Your mission is to build, optimize, and scale production-grade AI agents that deliver best-in-class accuracy, reliability, and performance for large enterprise datasets. You'll work across models, prompts, infrastructure, and data systems to push the boundaries of what AI agents can do for finance teams. The right candidate will have a high ownership mentality, infectious energy, and technical expertise to move the company and engineering organization forward. KEY RESPONSIBILITIES - Build and Scale AI Agent Infrastructure: Architect and maintain systems that process hundreds of thousands of queries per month, ensuring accuracy, reliability, and performance across LLM and SQL calls. - Tune and
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TITLE: Senior Manager, HSE & Operational Systems
EMPLOYER: firmus
LOCATION: Sydney, Australia (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-02
APPLY_URL: https://job-boards.greenhouse.io/firmus/jobs/5173848008
EXCERPT: Senior Manager, HSE & Operational Systems Sydney, Australia Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure - the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. Why you'll love working here As an NVIDIA Cloud and Engineering partner in Asia Pacific, you will gain skills, experience, and exposure across the AI industry and be part of shaping what this industry looks like for decades to come. We are founder-led, not a big corporate. Decisions happen fast, our leaders are accessible, and there's minimum bureaucracy between you and the work. Ownership comes early. Whatever
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TITLE: Staff Site Reliability Engineer – Automation and Platform
EMPLOYER: Cerebras Systems
LOCATION: Remote, California, United States; Sunnyvale, CA; Toronto, Ontario, Canada (remote)
SALARY: Not disclosed
POSTED: 2025-10-03
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7487314003
EXCERPT: Staff Site Reliability Engineer – Automation and Platform Remote, California, United States; Sunnyvale, CA; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are building a high-performance SRE function to support one of the world's fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE). This team will help deliver world-class, ultra-reliable inference infrastructure for leading model builders such as OpenAI and other frontier labs. As a Staff SRE, you will lead the engineering effort to eliminate toil at scale by driving implementation of self-service delivery pipelines, shared observability common tooling. This role starts
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TITLE: Cluster UI Full Stack, Engineering Lead
EMPLOYER: Cerebras Systems
LOCATION: Bengaluru, Karnataka, India; Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-28
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7608975003
EXCERPT: Cluster UI Full Stack, Engineering Lead Bengaluru, Karnataka, India; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role In this role, you will be building a world class UI-based large-scale cluster management portal. This portal will act as one stop for all operations and maintenance of cerebras clusters - such as cluster bringup deployment (day0/1/2), job management, health management to name a few. Cerebras AI clusters may have 1000's of Wafer-scale accelerator systems, several 1000's of high-end servers, and several 1000's of networking ports including switches. Responsibilities - Be the primary engineering face and owner
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TITLE: Hardware Design Engineering, Senior Director - Active Electric Cable / Smart Cable Module Business
EMPLOYER: Astera Labs
LOCATION: San Jose, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/asteralabs/jobs/4702153005
EXCERPT: Hardware Design Engineering, Senior Director - Active Electric Cable / Smart Cable Module Business San Jose, California, United States Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . About Astera Labs Astera Labs is the connectivity backbone of rack-scale AI infrastructure. Our Active Electrical Cables (AEC), Smart Cable Modules (SCM), Silicon Evaluation Platforms, and rack-scale products deliver purpose-built, high-speed connectivity for the world's most demanding AI clusters. As our product portfolio expands in complexity, performance, and volume - and as OEM customers increasingly adopt Astera Labs silicon into their own designs - we need a senior engineering leader to build and scale the hardware design engineering organization that creates industry-defining products and enables our customers' success. About the Role We are hiring a Senior Director, Hardware Design Engineering to lead and scale Astera Labs' hardware design engineering organization across Active Electrical Cables (AEC), Smart Cable Modules (SCM), Silicon Evaluation Platforms (SVB/EVB), rack-scale products, and OEM/customer design enablement. This is a senior leadership role with full ownership
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TITLE: Software Engineering Manager, Emergent AI infrastructure Team
EMPLOYER: Google
LOCATION: Hyderabad, Telangana, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-01
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckWMlDmpn3oDtocxks4INKmTb6CNBiz4sKGB0hs3HeY15EjsACxwdTI_R6vHlOK2DHkaUhWc-xFURTr07r_ImXW_eRAY3DbrgOgpsV3Q0WTqLbuFbkQVyJhzLN75luQ%3D%3D_V2&loc=IN&title=Software+Engineering+Manager
EXCERPT: Software Engineering Manager, Emergent AI infrastructure Team Hyderabad, Telangana, India Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Emergent AI infrastructure team in Google is looking to build the next generation of on-premises Artificial Intelligence (AI) infrastructure to bring the best of Google to empower Frontier model and AI solution builders to advance the state of the art for AI around the world. In this role, you will fully integrate AI infrastructure systems, from hardware to software design and workload management. You will have experience building very large AI clusters using the latest technologies
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TITLE: Engineering Manager, AgentOps
EMPLOYER: Scale AI
LOCATION: San Francisco, CA; New York, NY (unspecified)
SALARY: $252K-$315K
POSTED: 2025-10-31
APPLY_URL: https://job-boards.greenhouse.io/scaleai/jobs/4625271005
EXCERPT: Engineering Manager, AgentOps San Francisco, CA; New York, NY At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About our AgentOps team: The vision for the AgentOps team is to build the best Agent Development Platform in the AI Industry. Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles. As a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations ("AgentOps"), including building, deploying, monitoring, evaluating and improving agents to solve customer needs. With the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable. We want to create a virtuous data flywheel where agents built using this platform see continuous performance improvements and increase customer value over time. We are a rapidly growing team with ambitious
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TITLE: AI Systems
EMPLOYER: Unconventional AI
LOCATION: Palo Alto, CA (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-26
K401_MATCH: yes (not source-backed)
APPLY_URL: https://unconv.ai/careers/?gh_jid=4069027009
EXCERPT: AI Systems Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, AI Systems, you will develop state-of-the-art architectural components, write their bespoke implementations for our unconventional software framework, and map them efficiently down to the physical silicon. You are critical to preparing our software stack for upcoming tapeouts by acting as the bridge between model architecture and physical compute. What You'll Do - AI Architectural Modeling: Co-design and evaluate next-generation AI models (e.g, transformers, diffusion, flow, and energy-based models). You will collaborate closely across the team to combine, modify, and implement core modeling components, including both conventional (e.g., attention, normalization, Mixture-of-Experts, FFNs) and unconventional components. You will ensure that they function optimally across our novel compute substrates. - Performance Modeling & Scaling: Establish and test scaling laws specific to our novel hardware. Develop rigorous performance models to evaluate compute vs. memory trade-offs - Advanced
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TITLE: Construction Manager
EMPLOYER: Crusoe
LOCATION: Childress, TX - US, Childress, TX, United States, Dallas, TX - US (unspecified)
SALARY: $136K-$165K
POSTED: 2026-05-01
K401_MATCH: yes (not source-backed)
MATCH_401K_PCT: 4
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/crusoe/92b8ee07-1e78-40cc-ac2f-0a98bc9d9fda
EXCERPT: Construction Manager Childress, TX - US, Childress, TX, United States, Dallas, TX - US Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe is expanding hyperscale AI data center infrastructure across the U.S., delivering large-scale, mission-critical facilities that support America's leadership in AI and high-performance computing. We are building at a pace and scale that
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TITLE: AI Tech Lead - Staff Machine Learning Engineer
EMPLOYER: Sumo Logic
LOCATION: United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-26
APPLY_URL: https://job-boards.greenhouse.io/sumologic/jobs/7306781
EXCERPT: AI Tech Lead - Staff Machine Learning Engineer United States AI Tech Lead - Staff Machine Learning Engineer Location: USA The proliferation of AI and machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and security operations. With this opportunity comes significant technical challenges around ingesting, managing, and reasoning over massive, heterogeneous, high-velocity data streams at a global scale. As an AI Tech Lead , you will lead the design and delivery of the next generation of Agentic AI systems for the Security Operations Center (Agentic SOC). You will evaluate, prototype, and productionize state-of-the-art agentic AI technologies and build scalable multi-agent architectures that reason over large-scale machine data to drive real-time detection, investigation, and response. This is a highly technical leadership role with deep ownership of AI agent architecture, evaluation, LLM fine-tuning, and production AI infrastructure. You will help define the technical direction for Sumo Logic's agentic AI platform and play a key role in bringing advanced AI capabilities to customers at global scale. - Sumo Logic has a strong competitive advantage in the rapidly evolving AI space because we not only have an established enterprise customer base, we also own and manage a vast amount of operational and data, a critical advantage for building and improving AI-driven capabilities. Responsibilities - Lead and partner with fellow leadership members and teams on technical evaluation and adoption of cutting-edge agentic AI platforms, including Anthropic (Claude), LangChain/LangGraph, AWS Bedrock, and other emerging agent frameworks. - Architect, prototype,
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TITLE: AI Solution Architect
EMPLOYER: Emerson Electric
LOCATION: Escazú, San José, Costa Rica (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://hdjq.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/requisitions/job/26003455
EXCERPT: AI Solution Architect Escazú, San José, Costa Rica The AI Solution Architect is a hands-on technical leader responsible for designing, building, and scaling enterprise-grade AI and agentic AI solutions within the Enterprise AI Center of Excellence (CoE). This role blends solution architecture, engineering delivery, and standards definition to ensure AI solutions are production-ready, secure, reusable, scalable, and governed across the enterprise.
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