Observe.ai jobs

Senior AI Engineer - Grafana Ops, AI/ML | USA | Remote United States (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA time zones only at

AI Applications Engineer San Francisco, California, San Francisco, California, United States Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About The Role We're looking for an AI Applications Engineer to help drive Notion's business transformation efforts. In this role, you'll be a strategic partner to our internal stakeholders (primarily GTM, Finance and People teams) and deliver and scale creative AI-driven solutions to multi-faceted problems with measurable business impact. You'll also build reusable components, evaluation patterns, and operational guardrails that make AI delivery repeatable across teams. What You'll Achieve - Work with stakeholders to discover opportunities from ambiguous problem statements, translate them into scoped solutions, and drive iterative releases from idea to adoption

Senior AI Engineer 3 Locations posted: Posted Yesterday

Account Executive, Digital Natives (West Region) San Francisco, United States About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We're looking for an experienced Account Executive who will be responsible for prospecting and closing new business within our digital natives vertical. You will identify, nurture, and close opportunities with both new and existing customers. This role is based in San Francisco, CA. What you'll do - As part of the foundational sales team, you'll help develop our GTM strategy and close key customer accounts. - Meet and exceed individual quarterly and annual sales goals - Manage all aspects of the sales process - prospecting, sales meetings, and negotiations - Build and own the entire sales process including engaging with potential customers, negotiating and closing contracts, customer retention, and renewals. - Navigate complex sales and win trust through consultative sales conversations with technical teams. Ideal candidate credentials - You have 3-5+ years of full cycle sales experience, selling to technical audiences. Ideally high-growth companies. - Excellent communication skills through all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually. - You have the drive and

Machine Learning Engineer - Visual Agents - Special Projects Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. The Special Projects team at Apple is developing novel experiences powered by state-of-the-art agentic vision-language models that incorporate visual context into conversational interaction. We are looking for a Machine Learning Engineer to help us build, fine-tune, and rigorously evaluate these systems. A successful candidate has hands-on experience with vision-language models, knows how to translate ambiguous product requirements into measurable evaluation criteria, and is excited to work at the intersection of multimodal modeling and agentic AI. Build and evaluate vision-language agents that perceive real-world scenes and incorporate that context into conversational models Curate, annotate, and build multimodal datasets to support model training and evaluation Develop automated evaluation pipelines including LLM-as-judge frameworks, human evaluation protocols, and domain-specific benchmarks Fine-tune Large Language Models (LLMs) and Visual-Language Models (VLMs) to improve performance for specific use cases Work closely with other ML Researchers to define evaluation criteria and methodology to systematically evaluate foundation models Design controlled experiments to measure model capabilities,

Solutions Engineer (Central Region) Austin, Texas, United States, Chicago, Denver About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We are looking to hire a Solutions Engineer to partner with our sales team to navigate every part of the sales process. In this role, you'll working closely with technical stakeholders at companies ranging from small startups to massive enterprises. Our primary users are software engineers and PMs at world-class tech companies who are working to leverage GenAI. What you'll do - Partner with our sales team to articulate the overall Braintrust value proposition, vision, and strategy to customers - Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility - Deliver product and technical presentations to potential and existing customers - Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape - Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material Ideal candidate credentials - 5+ years of experience as a sales engineer or in solutions consulting - Ability to connect a

Solutions Engineer (East Region) New York City, New York, United States About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We are looking to hire a Solutions Engineer to partner with our sales team to navigate every part of the sales process. In this role, you'll working closely with technical stakeholders at companies ranging from small startups to massive enterprises. Our primary users are software engineers and PMs at world-class tech companies who are working to leverage GenAI. This role is based in our NYC, NY office. What you'll do - Partner with our sales team to articulate the overall Braintrust value proposition, vision, and strategy to customers - Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility - Deliver product and technical presentations to potential and existing customers - Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape - Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material Ideal candidate credentials - 5+ years of experience as a Sales

AI Research Engineer Seattle, Washington, United States Are you passionate about advancing the state of artificial intelligence and machine learning? Our rapidly growing startup is seeking an AI Research Engineer to join our Foundational Models AI team. This role is ideal for researchers and builders who thrive at the intersection of machine learning research and software engineering-those who can turn innovative ideas into working prototypes that push the boundaries of what's possible in intelligent systems. In this role, you'll work closely with a small, dynamic team of AI researchers and engineers exploring reinforcement learning, transformer-based architectures, and diffusion models. You'll be expected to design, implement, and iterate on ML experiments rapidly, contributing to foundational model development that will shape the future of autonomous systems and intelligent robotics. Join us to reimagine the future of human-robot interaction. Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around. This role is located onsite at our Seattle, WA office. Cobot will offer a relocation stipend if you are relocating to join our Seattle office and currently live more than 50 miles outside of the office location. Key Responsibilities: - Design, build, and iterate on experimental ML pipelines supporting foundational model development. - Implement and train large-scale models, including transformers and diffusion-based architectures, for generative and control tasks. - Develop and

Senior AI Engineer - Grafana Ops, AI/ML | Canada | Remote Canada (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from Canada time zones only at this

Applied AI Transformation Manager - Europe London | OnSite 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 Applied AI Transformation Managers are technically oriented strategic advisors and operators who ensure value alignment to our customer's most strategic projects and drive program delivery across several strategic accounts. You'll be responsible for identifying strategic opportunities for our customers to realize value from Cognition's platform and ensuring strong value capture and reporting. You will support delivery of enterprise wide programs to implement agentic AI, specifically by designing and building the operating model and delivery model for agentic AI. You'll act as a trusted advisor to senior and functional leaders, designing value realization targets and delivering transformation programs. This role embeds with a select set of Cognition's strategic accounts

Senior Professional Services Consultant Remote - United States Join the company that's building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world's biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what's next. We're one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we're remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd. Why You'll Love This Role Cribl is seeking a Professional Services Consultant. We are a fast-growing, remote-first company with a mission to unlock the value of all observability data. At our core, we believe in shipping phenomenal products and doing good by our customers and communities. We provide our customers with a new and unprecedented level of observability, intelligence, and control over their real-time data. We're backed by Sequoia and CRV, and our products are deployed in some of the largest organizations in the world processing 100s of TB and PB of IT & Security data, and managed by Site Reliability Engineers, System Engineers, and Technical Operations teams. In this role, you'll

AI Applied Scientist – Insights & Recommendations Haifa; Tel-Aviv Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world's manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. As Augury's AI Applied Scientist, you'll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research, and develop cutting-edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team at Augury, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the world's technologies, witnessing firsthand their impact on our customers. A Day In Your Life Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models. Combine classic methods with inference techniques: statistics, Time series, Deep learning, anomaly detection, Recommendation Systems, Transformers, and Inference to extract data-driven insights. Research, design, and build

Applied Scientist III, RBKS AI Toronto, Ontario, CAN The RBKS AI team is responsible innovating AI features for Ring and Blink cameras, with a mission to make our neighborhood safer. We are working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems. The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience. Key job responsibilities * Design and develop advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding * Develop privacy-preserving CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference * Map product requirements into science solutions and deliver high-quality science artifacts that ship to products * Collaborate with scientists, engineers, product/program managers and other cross-functional teams * Provide technical leadership on AI products/features, and develop and mentor junior scientists on the team. Basic Qualifications: - PhD, or Master's degree and 8+ years of applied research experience - Proven expertise in

Strategic Account Executive (Central Region) Chicago, Illinois, United States, Austin About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role Braintrust is looking for an Strategic Account Executive who will be responsible for prospecting and closing new business across the Central region of the US. Braintrust already has a strong base of early customers including Stripe, Notion, Instacart, and Airtable, which you'll be able to build on to help us expand. Our primary users are software engineers, so you'll need to be comfortable working with a technical audience. This role is remote based in Chicago, IL or Austin, TX. What you'll do - As part of the foundational sales team, you'll help develop our GTM strategy and close key customer accounts. - Build and own the entire sales process including engaging with potential customers, negotiating and closing contracts, customer retention, and renewals. - Navigate complex sales and win trust through consultative sales conversations with technical teams. Ideal candidate credentials - You have 5-10+ years of full cycle sales experience, selling to technical audiences. Ideally to very large companies with complex deal cycles. - You have the drive and willingness to go deep on our

AI Governance Analyst 3 Locations posted: Posted 23 Days Ago

Enterprise Account Executive (Central Region) Remote, San Francisco, California, United States, Austin, Chicago, Denver About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role Braintrust is looking for an Enterprise Account Executive who will be responsible for prospecting and closing new business across the Central Region of the US. Braintrust already has a strong base of early customers including Stripe, Notion, Instacart, and Airtable, which you'll be able to build on to help us expand. Our primary users are software engineers, so you'll need to be comfortable working with a technical audience. This role is remote and must be based in Denver, Austin, or Chicago. What you'll do - As part of the foundational sales team, you'll help develop our GTM strategy and close key customer accounts. - Build and own the entire sales process including engaging with potential customers, negotiating and closing contracts, customer retention, and renewals. - Navigate complex sales and win trust through consultative sales conversations with technical teams. Ideal candidate credentials - You have 5+ years of full cycle sales experience, selling to technical audiences. - You have the drive and willingness to go deep on our product to carry

Principal AI Agent / ML Software Engineer (OCI) San Francisco, CA, United States, US The Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This person will set architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in large-scale, business-critical environments. This role requires a proven engineer who can translate ambiguous product and platform goals into durable technical strategy, lead multi-team execution without direct authority, and remain deeply hands-on in design, code, reviews, operations, and incident follow-up. The ideal candidate combines deep distributed systems experience with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, guardrails, and cloud services. The expectation is to ship, scale, and operate reliable, secure, observable, and cost-aware AI platform systems while raising the technical bar for engineers across the organization. Responsibilities Serve as a senior technical owner for OCI AI platform capabilities, including agent execution, inference systems, model serving, AI workflow orchestration, evaluation, and observability. Design, architect, and deliver scalable agentic AI systems capable of reasoning, planning, tool use, workflow execution, multi-step task orchestration, and safe human-in-the-loop escalation. Build production-grade services for tool calling, agent memory, context management, Model Context Protocol (MCP) integration, vector retrieval, multi-agent coordination, policy enforcement, and evaluation. Lead architecture across distributed services optimized for low latency, high throughput, GPU efficiency, reliability, cost, operability, and secure multi-tenant operation. Define

Agentic AI-Business Consultant | Enterprise Tokyo, Tokyo, JP

Senior Platform Engineer United States Lob was founded in 2013 by technical co-founders with a vision to connect the world one mailbox at a time. Today, we're transforming the way businesses use direct mail and bringing the power of technology to a traditionally manual channel. Our modern logistics and fulfillment engine helps businesses to build and scale high-quality, personalized direct mail programs without the operational burden. As we grow to meet the evolving needs of our customers and expand our product offerings, we're building a team to shape the future of direct mail. About The Role We are looking for a Senior Platform Engineer to help scale and improve the reliability, observability, performance, and cost efficiency of our platform infrastructure. This role is focused on observability engineering and infrastructure optimization across AWS environments. The ideal candidate has deep hands-on experience with Datadog, OpenTelemetry, and HashiCorp Nomad, and understands how to build highly visible, scalable, and operationally efficient systems while actively reducing unnecessary infrastructure spend. You will work closely with engineering teams to improve telemetry, monitoring, performance testing, platform reliability, and cloud infrastructure efficiency across a fast-moving distributed environment, including leveraging modern AI-driven tooling and operational workflows where appropriate. What You'll Work On Building and improving observability across distributed systems and services Designing dashboards, alerting, metrics, tracing, and telemetry pipelines Improving operational visibility using Datadog, and OpenTelemetry Helping evolve and mature the organization's observability strategy and tooling Supporting and improving HashiCorp Nomad orchestration environments Identifying and implementing AWS cost-saving opportunities across

AI Data Scientist San Francisco, California, United States About the role You'll be Gamma's first Data Scientist, turning massive volumes of user data and AI outputs into insights that shape how millions of people create content. With over 1 million AI-generated presentations and 5 million AI images created daily, the signal is enormous. Your job is to find the patterns, measure what matters, and help us ship better features faster. You'll design A/B tests that measure product impact, build frameworks that reveal how our AI models perform across user segments, and investigate the hard questions: what makes a good AI-generated presentation, and why does a feature land differently for enterprise versus consumer users? You'll partner closely with product, engineering, and design to define quality metrics, uncover edge cases, and guide decisions with data. This is an IC role for someone eager to be hands-on, but it can grow into a leadership position establishing the Data function at Gamma. You'll thrive here if you're curious, comfortable with ambiguity, and excited to figure out what questions to ask rather than just answering the ones given to you. Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do - Build frameworks that help the team understand AI model performance, user behavior, and product health across Gamma's platform - Dig into AI model outputs

Senior Software Engineer - Observability Real User Monitoring (RUM) | Canada | Remote Canada (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. This is a full-time remote opportunity. We are considering candidates from US and Canada only. The opportunity

Senior AI Engineer WARSAW DOWNTOWN OFFICE posted: Posted 23 Days Ago

Backend Engineer San Francisco | OnSite Backend Engineer LiteLLM is the world's most popular AI Gateway, trusted by top companies like Adobe, Netflix, and NASA. Our platform empowers developers by providing secure, reliable access to LLMs and adjacent services, and we're looking for a Senior Backend Engineer to help us build rock-solid guardrails and observability tooling at scale. About The Role You'll focus on owning our guardrails and logging world-class. You will be in charge of the backend code that ensures all guardrail calls are consistently logged, errors are surfaced to users (not silently swallowed), and our observability instrumentation works for real-world, high-volume traffic. Your attention to detail in areas like latency metrics, logging traceability, and backend guardrail registration will directly impact user trust in our security and compliance features. Responsibilities - Build and scale our product, ensuring performance, reliability, and continuous improvement. - Ensure all guardrail and policy enforcement calls (e.g., applyguardrail) are properly logged and traceable through our SpendLogs and relevant database tables - Build and design CPU-level guardrails to cover common attacks on LLM API's / MCP servers / Agents - Identify and fix areas where silent failures occur in guardrail creation, registration, and policy application-ensuring robust error handling and transparency to end users - Work with observability integrations, including Datadog, Splunk, Prometheus, and OpenTelemetry, to maintain accurate, configurable, and usable monitoring and logging for backend systems - Enhance observability integrations to work for 1B+ requests/mo., with minimal latency overhead and no memory leaks (e.g. due to

AI Intern United States AI Intern