Baseten jobs

SRE San Francisco, California, United States, New York, Remote ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale - and that empower the broader organization to operate confidently. You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company. EXAMPLE INITIATIVES You'll work on projects like these as part of the SRE team: - Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services. - Building AI-assisted tooling for incident triage and response. RESPONSIBILITIES - Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking. - Build and maintain observability infrastructure - metrics, logging, dashboards, and alerting - as code. - Author, validate,

Content Engineer San Francisco, California, United States, New York, Remote ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE This is a 3-month contract-to-hire position, with the expectation of converting to full-time for the right candidate. You'll join a small team in Baseten spearheading how we show up natively in the AI era. You'll contribute to our content strategy with a focus on identifying, experimenting, and executing written content in the highest leverage channels that can reach the strongest intent users. This position will directly shape how we show up and present ourselves in front of developers with high intent of using open source and custom models. This isn't a traditional content or writing role. You'll operate iteratively at the intersection of growth, product marketing, and community building. Ultimately, you'll be creating and running the pipeline for generating high viewership content on external sites and define our playbook of how we approach discoverability in AI engines. When applying, please submit a favorite piece of your own writing that is relevant to your work

Executive Recruiter San Francisco, California, United States ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We're hiring an Executive Recruiter to own leadership hiring across Baseten - partnering directly with our CEO, executive team, and functional leaders to bring in the VP and C-suite talent that will define how we scale. Leadership hires are among the highest-leverage decisions a company makes, and at this stage of growth, we need someone who can operate as a true strategic partner - not just a search executor. You'll shape how we define and evaluate leadership, build rigorous and confidential search processes from scratch, and close exceptional candidates who could work anywhere. This is a senior individual contributor role with outsized company impact. You'll reduce our dependence on external search firms, build Baseten's internal executive recruiting capability, and set the standard for how leadership hiring works here. RESPONSIBILITIES - Own end-to-end executive searches. Lead VP- and C-suite hiring across Engineering, GTM, Finance, Product, and Operations - from intake and role scoping through offer close. You'll run

Infrastructure Ops Engineer San Francisco, California, United States ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Infrastructure Ops Engineer at Baseten, you are the operational engine of our global infrastructure. You will sit at the intersection of technical customer success and infrastructure engineering, partnering closely with our SRE and FDE teams to execute the complex hardware lifecycles that power our fleet This role is designed for high-energy, detail-oriented individuals who thrive on technical coordination and operational excellence. You aren't just managing clusters; you are acting as the technical glue between our customers' needs and our hardware reality, ensuring that high-level capacity strategies are translated into boots-on-the-ground results. While you will be hands-on with Kubernetes and cloud-native tools, your success is measured by your ability to project-manage the resolution of capacity puzzles, ensuring our platform remains reliable, observable, and ready for the next massive AI deployment. EXAMPLE INITIATIVES - The "Lost Node" Investigation: Debugging cluster-level blockers to solve why pods aren't scheduling despite available capacity - Regional Compliance Guard: Auditing and

Solution Architect San Francisco, California, United States, New York, Remote ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE: As a Solution Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering. RESPONSIBILITIES: - Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments , including: - Handling standard deployment patterns and configurations across many modalities - LLMs, embeddings, image and video generation, VoiceAI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized

Data Engineer San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We're hiring a Data Engineer to build and scale Baseten's internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making. You'll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics. You'll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning. RESPONSIBILITIES - Design and maintain core data models and semantic layers - Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks - Analyze inference and infrastructure telemetry , including data from OpenTelemetry, Grafana, and other observability tools - Define and maintain company-wide metrics across

Software Engineer- BIS (Baseten Inference Stack) San Francisco, California, United States ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten's Inference Stack team builds the distributed runtime that powers large-scale LLM inference across our platform. We operate at the intersection of distributed systems, model performance, infrastructure, and developer experience. We enable customers to deploy and operate cutting-edge LLM models with industry-leading performance, scalability, reliability, and ease of use. As a Software Engineer on the Inference Stack team, you'll work across the stack - from the developer experience customers use to deploy models, the libraries used for features like tool calling and reasoning, all the way down to the systems we use to orchestrate deployments in Kubernetes and route traffic efficiently. This is an ideal role for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users. EXAMPLE INITIATIVES Blog Posts https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Develop infrastructure and orchestration systems for deploying and managing large-scale distributed LLM inference - Work across the

Product Manager, Developer Experience San Francisco, California, United States ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. Product at Baseten Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the first people who will help define it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for building building great AI Infrastructure. PMs at Baseten don't sit above engineers - you earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences. The role Getting a model into production still takes real expertise - choosing a serving engine, sizing hardware, tuning it, wiring it into an app. We want a developer to go from "it runs on my laptop" to "it's serving production traffic" in minutes, on their own. You'll own the entire experience a developer

Software Engineer - Infrastructure San Francisco, California, United States, New York, Remote ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: - Multi-cloud capacity management - Inference on B200 GPUs - Multi-node inference - Fractional H100 GPUs for efficient model serving RESPONSIBILITIES - Develop infrastructure components for our ML inference platform using Python and Go - Implement and maintain Kubernetes deployments for model serving - Contribute to our inference orchestration layer for model deployments - Build and enhance monitoring systems for model performance metrics - Implement efficient resource management solutions for ML workloads - Support infrastructure automation to improve ML deployment workflows - Work closely with team members to implement technical solutions - Help balance performance

Engineering Manager, Cloud Platform San Francisco, California, United States ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient - from automated deployments and monitoring to performance optimization and incident response. You are a people-first leader with a strong cloud infrastructure background. You set a high bar for reliability and operational excellence, engage credibly in technical discussions and code reviews, and know how to build a culture of ownership and accountability. You'll spend most of your time close to the work: unblocking your team, shaping technical direction on day-to-day decisions, and developing your engineers. At Baseten, we work closely with our users to understand their struggles operationalizing ML - you'll keep your team connected to that mission and translate user learnings into better infrastructure. RESPONSIBILITIES - Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching,

Sales Development Representative New York, United States ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Sales Development Representative at Baseten, you will be helping build a qualified pipeline by engaging with potential customers. This includes outbound and inbound prospecting via phone, e-mail, LinkedIn, or whatever it takes to get them excited about Baseten. In this role, you will work alongside a sales and marketing team that focuses on the business needs of our customers. RESPONSIBILITIES - Build revenue pipeline by setting introductory meetings with potential businesses and key decision makers. - Diligently respond to inbound inquiries and determine potential product fit. - Help influence Baseten's product roadmap for customers and prospects. - Identify high-potential businesses and verticals and develop and execute outbound strategies to bring them to Baseten. - Stay up-to-date on market trends, competition, and industry developments. - Manage and document the progression of the sales pipeline. - Drive pre- & post-engagement at industry events (will attend multiple events in person). REQUIREMENTS - 9+ months of experience in a

Post-Training Research Engineer San Francisco, California, United States ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. We are looking for an engineer with strong experience in machine learning and solid foundations in maths and computer science to join our growing Post-Training team at Baseten. Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers' post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer's specific needs. Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently

Forward Deployed Engineer San Francisco, California, United States, New York, Remote ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. You'll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI - The fastest, most accurate Whisper transcription - Deploy

Software Engineer - Internal Platform San Francisco, California, United States, New York, Remote, Montreal ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an early member of Baseten's Platform Team, you will be pivotal in building internal infrastructure to support our engineering organization. While our product provides infrastructure for AI development, your focus will be on creating robust internal systems that amplify the productivity, collaboration, and quality of work across all engineering teams by providing exceptional tooling, efficient workflows, and robust development environments. If you are passionate about elegant solutions-like streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries-you'll thrive at Baseten. RESPONSIBILITIES - Create diverse tooling tailored to the needs of different engineering teams. - Enhance monorepo capabilities and develop project templates for consistency and efficiency. - Design and implement shared libraries focused on observability. - Improve the speed, reliability, and comprehensiveness of our CI pipelines. - Assist in designing and maintaining Terraform modules for infrastructure management. - Provide innovative solutions to enhance visibility in continuous delivery (CD) processes. -

Engineering Manager, Runtime Fabric San Francisco, California, United States ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren't designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren't built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabrics team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world's top containerd maintainers. As

Assistant General Counsel, Commercial San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is the AI inference infrastructure that serves the traffic and endpoints behind the most innovative AI-native and enterprise products in the market. We're hiring an Assistant General Counsel, Commercial to own our commercial deal surface as we scale from a high-growth startup into an enterprise-grade AI infrastructure platform. You'll be our primary commercial contracts attorney - embedded directly in the business and partnering day-to-day with Sales, Finance, and Engineering. At Baseten, commercial and product are the same thing. What we build and sell is inference - compute, orchestration, deployment, and optimization delivered as the production backbone for our customers' products. Closing a deal here means understanding multi-tenancy, model deployment, latency and throughput SLAs, and how a customer's workload actually runs on our platform. This is a role for a commercially minded product lawyer who wants to sit at that intersection, not run a siloed contracts function. You'll own enterprise commercial contracting end

Software Engineer - Enterprise Platform San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Senior Enterprise Platform Engineer at Baseten, you'll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This includes enabling self-hosted and single tenant clusters, region-aware request routing, enterprise-grade data and security integrations, and more. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: - Multi-cloud capacity management - Inference on B200 GPUs - Multi-node inference - Fractional H100 GPUs for efficient model serving RESPONSIBILITIES - Architect and develop infrastructure and platform features tailored for enterprise customers, including self-hosted clusters, single-tenant environments, and cross-cloud workload orchestration. - Lead technical initiatives to productize secure and scalable private connectivity solutions. - Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection. - Advance our self-hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling.

Software Engineer - Model Performance San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Are you passionate about advancing the application of artificial intelligence? We are looking for a Software Engineer focused on ML performance to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM Inference. If you are a backend engineer who thrives on making things faster and is excited about open-source ML models, we look forward to your application. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: - Baseten Embeddings Inference: The fastest embeddings solution available - The Baseten Inference Stack - Driving model performance optimization RESPONSIBILITIES - Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, kv cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure. - Deep dive into underlying codebases of TensorRT, PyTorch, TensorRT-LLM, vllm, sglang, CUDA,

AI Solutions Engineer San Francisco, California, United States, New York, Remote ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an AI Solutions Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. You'll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI - The fastest, most accurate Whisper transcription - Deploy

Cost Analytics Lead San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We're hiring a Capacity and Infrastructure Analytics Lead to help Baseten build the analytics foundation for tracking infrastructure usage, capacity, and cloud spend across our growing AI inference platform. This is a foundational analytics role focused on understanding how compute resources are consumed, priced, and optimized across Baseten's fleet. You'll create reliable data models that bring together cloud billing exports, provider usage data, capacity data, and internal infrastructure telemetry into a unified view of cost and utilization. You'll work closely with Finance, Infrastructure, Product, and Operations to answer questions like: How efficiently are we using committed capacity? How should we forecast infrastructure needs as usage grows? RESPONSIBILITIES - Build, enhance, and maintain dashboards that track cloud cost, usage, capacity, utilization, and infrastructure efficiency across Baseten's fleet. - Ingest, clean, and model billing and usage data from multiple cloud and infrastructure providers, including sources such as cost and usage reports, provider APIs, invoices, and internal

Product Manager, Inference Platform San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. Product at Baseten Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and AI engineers and you'll set the standard for what product looks like here. PMs at Baseten don't sit above engineers - you earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and just shipping great product experiences. The role Once a model is deployed, keeping it fast, reliable, and economical at scale is where production inference is won or lost. You'll own the surface that makes that happen: how deployments autoscale, how traffic is routed, how the system fails over, and how workloads scale across clusters and regions. You'll own these as products end

Account Executive - AI Native: Strategic San Francisco, California, United States ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You'll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps. RESPONSIBILITIES - Help build the foundation and processes for customer-facing teams at Baseten - Lead, negotiate, and execute new sales opportunities for Baseten - In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets - Establish and maintain relationships with key stakeholders within sales accounts - Work cross-functionally to improve the customer experience and ensure sales effectiveness REQUIREMENTS - 4-7 years of sales experience in a SaaS business - Experience in selling to technical

Engineering Manager, Model Library San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE: You'll lead the Model Library team at Baseten - a small, high-ownership team focused on helping developers discover, evaluate, and select the right models for their specific use cases. This role is for a product-minded engineering manager who thrives in ambiguous, high-impact environments and can guide a team from early-stage product thinking through production-quality execution. You'll stay technically grounded while driving the team's work across model discovery, evaluation frameworks, and the infrastructure that powers a best-in-class model library experience. EXAMPLE INITIATIVES: - Model APIs for frontier models - Model training built for production inference - Introducing the Baseten Frontier Gateway RESPONSIBILITIES: - Lead and grow a team of engineers, including hiring, mentorship, and career development. - Own the Model Library product area end-to-end - from discovery and evaluation experiences to the APIs and tooling developers use to integrate models. - Partner with product, ML, and cross-functional stakeholders to define scope, prioritize work, and

Engineering Manager - Model Performance San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Are you passionate about advancing the frontiers of artificial intelligence while leading a team of exceptional engineers? We are looking for a Tech Lead Manager focused on ML performance and inference. This role is ideal for someone with a strong engineering background who is eager to lead and mentor a team while remaining hands-on with technology. If you thrive in a fast-paced startup environment and are excited about both leadership and technical challenges, we want to hear from you. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: - Baseten Embeddings Inference: The fastest embeddings solution available - The Baseten Inference Stack - Driving model performance optimization RESPONSIBILITIES - Lead, mentor, and manage a team of engineers focused on developing and optimizing ML model inference and performance. - Oversee technical strategy and architecture decisions, driving improvements across our engineering organization. - Collaborate with