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

Own GTM-facing product enablement: translate releases into field guidance, build scalable enablement programs, design active practice sessions, partner cross-functionally, embed product learning into onboarding/certifications, and build AI-first launch-to-enable loops and AI-powered, just-in-time enablement surfaces to drive adoption and revenue.

Drive net-new enterprise deals and territory growth by researching accounts, identifying executive sponsors, and executing value-driven sales cycles. Collaborate with SEs, BDRs, PMs and engineering to run POCs, build ROI business cases, and meet ARR targets. Develop repeatable sales strategies, generate pipeline, and close complex deals within large organizations, engaging C-level stakeholders and ensuring customer success.

Lead large-scale infrastructure programs across compute, network, storage, orchestration, and AI workloads. Coordinate cross-functional teams (Infra, SRE, AI/ML) to improve scalability, reliability, cost efficiency, deployment automation, observability, and ML/LLM infrastructure. Define standards, track metrics, manage risks, and deliver multi-quarter initiatives that optimize platform performance and developer velocity.

Lead growth-focused data science work to accelerate adoption, engagement, and retention. Define measurement frameworks and core metrics, build funnels and reusable datasets, design and analyze experiments, apply causal inference, create behavioral segments, inform roadmaps, and partner cross-functionally to turn insights into product bets and measurable outcomes.

Lead the Admin Console engineering team, focusing on architecture, admin experience, and scalable rollout for enterprise use of Glean.

Lead end-to-end, cross-functional product programs for Glean's enterprise AI platform. Drive alignment across Product, Engineering, Design, and GTM, manage multi-quarter roadmaps, mitigate risks and dependencies, measure execution health, and ensure successful launches and customer adoption of AI/LLM-driven features.

Build and improve automated systems and IaC for customer cloud account/project bootstrapping, authentication wiring, proxy/private networking, and deployment orchestration across AWS and GCP. Enable complex scenarios (BYO-VPC, customer-managed keys, airgapped and custom-region deployments) and collaborate with Platform, Security, Product, and customer teams to increase reliability and reduce manual setup.

Build and improve production ML and LLM-powered systems to raise assistant and agent quality. Design evaluation, benchmarking, and monitoring; develop signals, prompts, workflows, and model-driven logic; work on RAG, retrieval, personalization, RL, and orchestration; partner with product and engineering to ship production systems and support data/ML infrastructure for experimentation and continuous improvement.

Build and improve systems that automate customer cloud account/project bootstrapping, authentication wiring, and deployment orchestration. Create IaC templates and deployment workflows for AWS and GCP, support complex scenarios (BYO‑VPC, customer‑managed keys, airgapped, custom regions), and collaborate with Platform, Security, Product, and customer teams to make deployments faster, safer, and more reliable.

The Product Manager will evaluate and manage relationships with LLM models, define product strategy, and coordinate cross-functionally to enhance customer experience while driving product roadmap and adoption.