Jobs at Baseten

Lead a GPU Kernel Engineering team building and optimizing low-level CUDA kernels for ML inference. Combine hands-on kernel development, performance profiling, and technical leadership to reduce latency and cost. Set roadmap, mentor engineers, collaborate cross-functionally, and represent the team externally while maintaining high standards for correctness and performance.

Own new-business revenue in regulated verticals (finance, healthcare, insurance, government). Manage full enterprise sales cycle, win lighthouse customers, run technical POCs with engineers, and collaborate with Product, Legal, and Marketing to shape GTM and product roadmap.

Own and build the internal Capacity product end-to-end, creating full-stack features, translating operational requirements into tooling, eliminating manual processes, and ensuring observability and operational alignment with SRE and infrastructure teams.

Own Basetens enterprise-readiness product: define deployment options, compliance posture, access/security controls, and billing/spend controls. Work with engineering and GTM to turn deal-by-deal work into supported, sellable platform capabilities, set roadmap, and represent enterprise customers internally.

Lead design and build of a real-time observability and root-cause analysis system for high-density GPU fabrics. Collect, reduce, correlate telemetry from switches, hosts, NICs, GPUs, and services; model topology and ownership; separate fabric faults from host/driver/RDMA/scheduler issues; and produce operator workflows for triage and remediation.

Three-month, full-time, on-site research fellowship in San Francisco focused on open-source LLMs. Fellows receive a $15,000 stipend, mentorship, compute funding, and support to publish rigorous research with potential path to full-time employment.

Lead the Cloud Platform and Site Reliability organization, setting technical direction, ensuring reliability, and managing infrastructure for AI products.

Lead large-scale brand campaigns across digital, events, and out-of-home; partner with product marketing and engineering on launches; translate complex technical ideas into clear visual communication; evolve and scale Baseten's visual identity and brand system; own projects end-to-end and shape employer brand while raising craft across customer touchpoints.

As an Applied AI Inference Engineer, you will architect, build, and deploy AI applications, collaborating with customers throughout the development and deployment process, and enhancing ML projects.

Lead and drive complex, cross-team infrastructure programs end-to-end: scope migrations, sequence dependencies, manage risk, establish operating rhythms, track action items, create clear plans from ambiguous goals, surface risks, and communicate progress to engineers and senior leadership to ensure programs complete on time and without surprises.

Build in-house tools for post-training models, focusing on improving model efficiency using various ML techniques across the system stack.

As a Senior Software Engineer, you will manage Baseten's billing and revenue infrastructure, ensuring reliability and collaboration with finance and sales teams while evolving the billing platform.

Own end-to-end developer experience for deploying and operating ML models: CLI/SDKs, console, onboarding, model discovery, deployment lifecycle (canary, A/B, rollback), multi-model composition, and developer-driven workflows. Drive customer research, ship improvements, and make Baseten the default platform for production model serving.

Lead and grow a platform engineering team building internal systems, monorepo tooling, CI/CD improvements, shared observability libraries, and developer workflows to boost productivity across engineering. Partner cross-functionally to prioritize platform investments, communicate trade-offs, and coach engineers while driving technical direction and delivery.

Lead and grow a systems engineering team building container runtime and storage layers for production AI inference. Set technical direction, drive containerd/runc enhancements, own startup performance and weight/image delivery, and partner cross-functionally while contributing upstream to open-source container projects.

Support company-wide financial planning, forecasting, and budgeting. Build and maintain financial and operating models. Prepare board and investor materials, analyze ARR, gross margin, usage, and retention. Evaluate investments, pricing, acquisitions, and strategic initiatives. Drive ad hoc market analysis and improve reporting, dashboards, and finance operations.

Own and operate Baseten's internal AI stack, build and deploy custom AI agents and LLM-powered tools, evaluate third-party AI developer tools, instrument usage and measure impact on engineering productivity, and support engineering teams in adopting AI workflows.

The Sales Manager will lead a team of Account Executives, drive revenue growth, define go-to-market strategies, and collaborate cross-functionally to align products with customer needs.

The role focuses on building analytics for infrastructure usage and capacity, integrating data sources, and developing dashboards for cloud cost and efficiency metrics, requiring strong SQL and Python skills.

Respond to inbound leads, qualify prospects, set introductory meetings, manage and document pipeline, influence product roadmap, identify high-potential verticals, execute outbound strategies, and represent Baseten at industry events.