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

Coordinate and schedule interviews across time zones, manage cancellations/reschedules, create high-touch candidate experiences (virtual and in-person), collaborate with recruiters and hiring managers, and support Recruiting Operations to improve workflows and interviewer/candidate experience.

Lead initiatives to drive revenue and growth in Generative AI, collaborating with teams and developing strategies aligned with market needs.

As a Software Engineer in Frontier AI Infrastructure, you'll design secure systems for the public sector, improve engineering standards, and collaborate with cross-functional teams to meet government requirements. You'll also participate in customer engagements and contribute to the product strategy while ensuring compliance with federal regulations.

The Director of TPM will build and lead a TPM team, define strategic roadmaps, manage cross-functional projects, and ensure operational excellence in AI integrations.

Lead Scale's global policy strategy across AI governance, procurement, and international frameworks; grow and manage a policy team; translate business objectives into regulatory wins; represent Scale at trade associations and standards bodies; advise executives; lead responses to rulemakings and regulatory proceedings; and build relationships with senior government officials domestically and internationally.

Lead and grow Engagement Management for strategic GenAI customers: manage a team of Engagement Managers, own retention and expansion targets, build deep relationships with ML researchers, translate research needs into human-data programs, coordinate cross-functional GTM/ML/Finance/Operations efforts, and develop processes to scale account coverage and demand generation.

The Solutions Engineer will engage with clients, develop technical solutions in Robotics, and guide customer pilots, ensuring satisfaction and driving commercial growth.

Design and build scalable, fault-tolerant ML serving platforms for robotics. Optimize computer-vision and foundation-model pipelines for cloud GPUs, develop observability and monitoring, conduct architecture reviews, and lead end-to-end projects integrating research and production.

Design, build, and operate a secure, high-performance agent sandboxing platform. Ensure isolation, reproducibility, and efficient resource use across containerized/virtualized environments. Improve developer experience (APIs, client SDKs, docs), debug and monitor production incidents, lead architecture and end-to-end projects, and collaborate with internal teams to shape roadmap and tooling.

Own the Finance vertical for Agents Data & RL Environments: set product and data strategy, design and scale finance-specific RL simulations and datasets, partner with frontier research teams, and drive cross-functional execution and go-to-market efforts to train and evaluate AI agents on real financial workflows.