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

The Director of Product Management will lead product strategy for AI Data Engine, driving business outcomes through collaboration across teams and mentoring PMs.

The Technical Recruiter will manage full-cycle recruiting for technical roles, collaborate with engineering leaders, and promote inclusive hiring practices.

Lead a portfolio of robotics data programs: coordinate cross-functional teams, design scalable data ingestion pipelines, manage robotic hardware and logistics, enforce data quality and governance, standardize SOPs, and deliver SQL-driven dashboards and executive updates to enable high-fidelity datasets for VLA models.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.

Manage the engineering team, drive technical delivery, oversee product lifecycle, build features, and mentor engineers. Collaborate with cross-functional teams and ensure high-quality product releases in a fast-paced environment.

Lead the development of evaluation methodologies for large language models, collaborating with teams and publishing research findings. Enforce best practices in AI development.

Drive outbound sourcing and screen inbound applicants for finance, legal, G&A, GTM and other business roles. Partner with hiring managers, design sourcing strategies, track metrics, and deliver a high-touch candidate experience while improving processes and market intelligence.

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.

Lead end-to-end evaluation strategies for enterprise GenAI applications: define rubrics and golden datasets, design human-in-the-loop processes, manage labeling operations and pipelines, run LLM benchmarks, analyze results, and recommend production readiness while operationalizing repeatable SOPs.

The Product Manager will set product strategy for the Pay team, translate user needs into technical requirements, and collaborate across teams to manage product development and performance evaluation.