Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own customer-to-product translation and revenue for post-training AI infrastructure: qualify opportunities, define technical scope and proposals, run POCs, coordinate cross-functional work, shape pre-PMF product strategy, partner with Applied Research, and create category go-to-market narratives.

Lead strategic customer deployments to translate high-value AI workflows into evals, environments, and post-training systems. Scope POCs to production, partner with Applied Research, define success metrics, build repeatable deployment playbooks, and drive revenue through qualification, scoping, and expansion.

The Technical Account Manager ensures enterprise customer success with Prime Intellect's AI infrastructure, managing relationships and driving technical and business outcomes through collaboration with customer teams.

The Head of Compute at Prime Intellect will manage the sourcing, economics, and contracting of GPU capacity while collaborating with research and engineering teams to define compute needs and drive strategy within the AI infrastructure realm.

Develop and implement advanced reinforcement learning methods and distributed systems for AI agents. Collaborate with customers to understand needs and create tailored solutions.

The Research Engineer will optimize large-scale RL training systems by enhancing performance in networking, memory, and computation. Responsibilities include designing low-level optimizations, collaborating with various teams to improve infrastructure, and contributing to open-source projects.

The Solutions Architect will manage customer onboarding and deployment for AI workloads, improve internal operations, and foster client relationships while ensuring technical needs are met.

Build the companys compute intelligence platform: stand up a data warehouse, ingest compute telemetry, billing, partner and CRM data, model it (dbt), build pipelines (Python/SQL), dashboards, and an AI-accessible query layer. Enable cross-functional teams to track supply, demand, utilization, capacity planning, and bottlenecks while ensuring reliable, documented, production-grade data infrastructure.

Embed with customers to design and run RL/post-training workflows: build custom environments, evaluation harnesses, and training runs on the Lab stack; translate field insights into platform improvements and reference implementations.

As Head of Growth, lead sales, marketing, partnerships, and customer success, define go-to-market strategy, and drive revenue growth.