Jobs at Baseten

Own and harden Baseten's marketing tech stack (ESP, CRM, tracking, forms, connectors). Build inbound defenses, enforce data integrity, implement lead scoring/routing/attribution, systematize intake and web request processes, partner with RevOps/Data/Sales, and build or implement custom and AI-powered automation to keep marketing systems reliable and scalable.

The Senior Product Engineer will design and implement features for a training platform, working through the tech stack and collaborating with research engineers to enhance model development and user experiences.

Build and maintain responsive, accessible frontend interfaces using React and TypeScript. Collaborate with product, design, and backend teams to launch performant, scalable UIs, create reusable component libraries, define APIs, mentor engineers, and drive frontend best practices.

Partner with CRO and Revenue Operations to design GTM planning, territory coverage, quota frameworks, and pipeline-generation models. Build analytics, forecasts, and dashboards; support field execution, experimentation, and scaling of GTM motions. Translate data into actionable narratives and operationalize successful experiments into repeatable playbooks.

Build an internal AI developer platform that provisions agent configs, context tooling, eval harnesses, and rollout mechanics to make AI-assisted engineering the default. Integrate LLMs and third-party coding tools, enable self-serve agent creation, embed safety and audit controls, and measure impact on developer productivity.

The GPU Kernel Engineer will design and implement high-performance GPU kernels, optimize code, and collaborate with research teams to enhance AI workloads.

Lead development of enterprise platform features focusing on infrastructure, security, and compliance for enterprise customers. Oversee projects, collaborate cross-functionally, and mentor engineering teams.

As an AI Support Engineer, you'll manage support requests, resolve user issues, optimize ML models, and contribute to product development.

Partner with Sales and customers to run technical discovery, lead demos and scoping, design repeatable ML inference deployments across modalities, benchmark inference performance, and drive POC execution and stakeholder alignment.

The GTM Recruiter will manage the full-cycle recruiting process for go-to-market roles, enhance candidate experience, and improve recruiting strategies while collaborating with hiring managers and analyzing recruiting metrics.

As a Site Reliability Engineer, you'll build and maintain infrastructure for ML models, automate processes, and collaborate cross-functionally.

The OS / K8s Systems Engineer will build and automate systems to turn GPU hardware into production-ready compute, focusing on reproducibility, scalability, and reliability across data centers.

The Data Engineer will build and scale Baseten's internal data platform, designing data models and pipelines while enabling self-service analytics and ensuring data reliability.

Lead and mentor a team of Solution Architects, ensuring technical solutions align with customer needs, while managing deployments and proofs of concept for AI applications.

Build and evolve scalable observability systems: high-throughput telemetry ingest, cost-efficient storage, instrumentation libraries, SLO/alerting infrastructure, and integrations to improve reliability, diagnostics, and incident response across multi-cloud infrastructure.

As a Core Product Manager, you will shape the developer experience for AI applications, driving the roadmap for APIs, UI, and workflows, while collaborating with design and engineering teams.

As an Account Executive, you will lead and negotiate sales, build relationships with customers, and support sales targets in a fast-paced startup environment.

The Software Engineer will lead the development of Baseten Voice AI, focusing on real-time model serving systems, collaboratng with teams on architecture and implementation.

Own and evolve compensation strategy and programs, collaborate with leadership on job architecture, conduct market benchmarking, manage equity grants, and lead compensation review cycles.

Partner with customers to architect, build, and deploy high-scale production AI applications. Translate ambiguous goals into reliable, observable services, implement end-to-end model deployment and monitoring, optimize ML projects, and own customer-facing technical delivery and product outcomes.