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

Own retention and expansion for a 150+ Tier 1/2 account portfolio by converting AI‑surfaced signals into signed optimization plans, closed saves, and tracked expansion revenue. Run live optimization sessions, negotiate within playbooks, escalate cross‑functional issues, validate automated health scores/reports, and drive measurable ARR retention and upsell outcomes.

Lead onboarding, configuration, and adoption for OpenBeds and Crisis across state behavioral health networks. Create organizations and users, train end users, act as primary onboarding concierge, drive engagement strategies and KPIs, escalate risks, partner with state agencies, and explore AI/automation to improve workflows.

Serve as a product owner on an agile team: define and document requirements, manage backlog and sprints, communicate status, monitor metrics, support releases, and apply AI tools to streamline PO tasks while collaborating with PMs, engineers, design, integrations, and operations.

Lead AI product strategy and roadmap for Bridge solutions, owning agentic conversational experiences across outreach, intake, messaging, scheduling, and escalation. Partner with engineering, data science, clinical, sales, and client teams; manage and coach a Product Manager and Product Owner; define metrics, prioritize roadmap, and drive measurable AI agent performance improvements and scalable client deployments.

Lead commercial analytics to measure ROI, uncover growth opportunities, and deliver actionable insights. Build dashboards, perform SQL-based analyses, improve data quality, support forecasting, and implement automation/AI to streamline workflows. Partner cross-functionally with Sales, Marketing, Finance and Strategy to influence revenue and retention decisions.

Support sales and product teams by developing ROI-driven business cases, commercial insights, and deal strategy. Partner with Market Development Directors and Product Strategy to evaluate customer requests, build value narratives and models, support pricing and non-standard proposals, and create playbooks and processes to scale commercial execution.