Top Remote Senior Level Product Manager Jobs in San Francisco Bay Area, CA

Conduct product discovery, lead cross-functional teams, monitor key metrics, articulate product roadmap, and partner with internal stakeholders at Evidation as a Senior Product Manager.

The Senior Product Manager for Identity & Security at Grammarly will spearhead the enterprise identity and product security area, defining the future roadmap for IAM capabilities and ensuring product security meets enterprise customer expectations. Responsibilities include setting product direction, driving execution, understanding customer needs, and working with cross-functional teams to deliver industry-leading solutions.

The Hardware Product Quality Manager is responsible for developing and managing factory, field, process, and product quality requirements for both NPI and sustaining programs for Square Hardware products. This role involves conducting data analyses, driving root-cause analysis, and delivering key product quality plans to cross-functional teams and contract manufacturers.

As the Medical Director at Headway, you will lead the Clinical Product team, support health plan partnerships, and collaborate with product teams on next-generation designs. You will be a thought leader in reimagining behavioral healthcare delivery and have extensive experience in clinical and medical leadership roles in technology environments.

As a Proto Mining Product Manager, you will drive the future of mining development kits, contribute to mining rig products, work with cross-functional teams, define requirements, and collaborate on strategy and vision for mining products.

Seeking a Director of Product Management to lead Data Platform Persistence services including data management, data archiving, and data access services. Must have a deep understanding of platform technologies and drive vision and clarity at all levels of the organization.

Seeking a Senior Product Manager to lead the Data Science team in developing and executing strategic product vision in cybersecurity, machine learning, and operational capacity. Responsibilities include resolving customer escalations, gathering requirements, prioritizing business intelligence, evaluating threats, improving operational models, and executing the operational roadmap. Requires 10+ years of product management experience, expertise in cybersecurity, AI, ML Ops, and effective communication skills. Bonus points for experience productionizing ML models and cybersecurity solutions.