Jobs at Baseten

Build and operate software, APIs, Kubernetes controllers, Terraform modules, and GitOps automation for production AI infrastructure. Responsibilities include managing multi-cloud Kubernetes fleets, automating cluster provisioning and upgrades, supporting GPU capacity, improving observability and reliability, and partnering with infrastructure teams from design through adoption.

Senior commercial attorney responsible for leading enterprise contracting and complex negotiations with large, regulated, and AI-native customers. The role partners closely with Sales, Finance, Security, Engineering, Product, and Governance teams; develops legal positions for AI, cloud, data protection, and operational resilience matters; structures non-standard deals; creates scalable templates and playbooks; and mentors the legal team. Candidates need substantial technology transactions experience, active bar membership, regulatory knowledge, and the ability to translate technical products into practical legal terms.

Own and negotiate strategic partnership, licensing, distribution, and technology agreements for an AI infrastructure company. Advise Partnerships and GTM teams on model licenses, integrations, regulatory developments, and novel AI legal issues. Build templates and playbooks, mentor team members, and support enterprise deals, M&A, and other strategic transactions.

Own the developer experience for AI model training jobs, including environment setup, submission, scheduling, monitoring, debugging, checkpointing, and recovery. Partner with infrastructure, research, engineering, and customers to simplify distributed training, support supervised fine-tuning and reinforcement learning workloads, connect training with evaluation and inference deployment, and turn complex infrastructure capabilities into reliable product workflows.

Own pricing and monetization strategy across Baseten’s AI infrastructure products, including inference, training, sandboxes, and reserved capacity. Design usage-based pricing models, analyze costs and customer behavior, improve purchasing and billing experiences, and partner with engineering, finance, sales, and product teams to launch pricing changes. The role focuses on increasing adoption, revenue, and unit economics while making complex AI infrastructure pricing transparent and easy to understand.

Owns product development for AI inference performance capabilities, partnering with inference engineers, researchers, and customers. Translates advances in batching, caching, quantization, speculative decoding, and serving architectures into configurable production features. Defines benchmarks, evaluates latency, throughput, quality, and cost, prioritizes customer-focused optimizations, and supports release readiness, compatibility, regression testing, and adoption.

Own the product strategy and roadmap for Baseten’s AI inference experience. Lead efforts to help developers discover, evaluate, deploy, optimize, and operate models through APIs, SDKs, CLI tools, and console products. Partner with engineering, research, GTM, leadership, and customers to prioritize capabilities, translate inference advances into products, and drive adoption, revenue, pricing, packaging, and successful launches.

Own the Grid product roadmap, an AI model-routing platform that automatically selects models to optimize quality, speed, and cost. Partner with engineers, researchers, customers, and GTM teams to develop routing policies, evaluation frameworks, developer experiences, observability, controls, and production deployments. Drive adoption, enterprise expansion, and measurable customer outcomes while addressing technical challenges such as tool compatibility, retries, conversation history, prompt caching, and routing overhead.

Build financial models and reporting across revenue, margins, compute costs, headcount, pricing, and strategic investments. Partner with executives and cross-functional leaders on targets, unit economics, deals, scenario planning, board materials, and fundraising analyses. Develop scalable finance systems, dashboards, and processes while providing recommendations in an ambiguous, high-growth AI infrastructure environment. Senior hires may lead major finance areas and develop teams.

Leads and mentors a team of Solution Architects while remaining hands-on with customer discovery, technical scoping, demos, proofs of concept, AI model deployments, benchmarking, and inference optimization. Partners with Sales, Product, Infrastructure, and Engineering to deliver reliable, cost-efficient, low-latency generative AI applications. Guides deployment strategies across LLMs, embeddings, image, video, and voice models, while coordinating timelines, stakeholders, and technical execution.

Own financial strategy for distribution and labs partnerships, including deal modeling, pricing, revenue shares, capacity commitments, cost-to-serve, and margin analysis. Build commercial frameworks, evaluate partner proposals, forecast partnership performance, and connect commitments to GPU supply planning. Partner with Product, Partnerships, Infrastructure, GTM, and Legal leadership to prioritize partners and inform the product roadmap.

Own commercial structuring and economics for complex enterprise deals. Partner with Sales, Finance, Legal, RevOps, Accounting, and Billing on pricing, negotiations, profitability analysis, approvals, contracting, and revenue recognition. Build scalable deal strategy processes, playbooks, systems, and automation while shaping pricing and packaging through deal-performance insights. Represent the company with senior customer finance and procurement stakeholders.

Own technical positioning, messaging, launches, competitive analysis, and sales enablement for AI infrastructure products including inference, Model APIs, training, and enterprise platforms. Partner with Product, Engineering, Sales, and Marketing to explain complex products clearly to ML engineers, technical buyers, and executives. Create launch plans, technical content, battlecards, demos, and customer-facing materials while translating market insights into stronger positioning.

Build and operate the microVM infrastructure powering Baseten’s multi-tenant AI agent sandboxes. Own VM lifecycle operations, custom guest kernels, host CPU and memory tuning, resource density, startup and resume performance, storage and networking devices, and hypervisor-based security isolation. Debug issues across userspace, kernels, and hardware while contributing to open-source virtualization projects.

Build and own Baseten’s testing platform, including unit, integration, load, performance, resilience, and chaos testing frameworks. Develop ephemeral Kubernetes environments, dependency provisioning, CI optimization, test reliability tooling, observability, coverage dashboards, and shared test libraries. Partner with infrastructure and product teams, establish testing standards, improve engineering practices, and mentor colleagues.

Own and improve Baseten’s billing and revenue infrastructure, including pricing, invoicing, metering, reporting, and Orb integrations. Build internal tooling for quoting, approvals, renewals, usage reconciliation, and revenue reporting. Partner with Finance, Sales, GTM, and engineering teams while driving reliability, monitoring, incident response, production debugging, and scalable technical solutions.

Build and operate scalable backend and distributed systems for Baseten’s AI inference platform. Responsibilities include telemetry pipelines, observability platforms, billing and commercialization systems, partnership integrations, developer tooling, CI/CD, AI agent infrastructure, testing strategy, reliability improvements, and cross-team technical leadership. The role also involves mentoring engineers, improving developer experience, and partnering across infrastructure, model performance, and product teams.

Lead the design, implementation, rollout, and operation of Baseten’s identity and authorization platform. Build fine-grained permissions, credential systems, enterprise identity lifecycle capabilities, and administrative governance tools for multi-tenant systems. Partner with product, design, and customer-facing teams to translate enterprise security needs into scalable solutions. Establish practices for security, quality, observability, and operational ownership while mentoring future team members.

Build and operate Baseten’s partner platform by leading integrations with model labs, hyperscalers, developer platforms, and infrastructure companies. Design APIs, service boundaries, provisioning, identity, inference, metering, billing, observability, and reusable integration primitives. Collaborate directly with partner engineering, Product, and Partnerships teams while writing substantial production code, managing cross-team delivery, and ensuring reliability through testing, safe rollouts, failure handling, and measurable service-level objectives.

Owns the operating system for Baseten’s Forward Deployed Engineering team. Responsibilities include managing priority-account cadences, cross-team infrastructure programs, escalations, dependencies, metrics, engineering toil reduction, onboarding, capacity planning, and customer launches. The role coordinates technical teams and leadership across ML infrastructure, inference, platform engineering, Sales, and Solutions Architecture while driving accountability, risk mitigation, and clear executive communication.