Top AI Product Manager Jobs in San Francisco Bay Area, CA

Own the strategy and roadmap for Box’s AI infrastructure, governance, security, and compliance capabilities. Define permissions, auditability, model controls, agent security, and policy enforcement across Box AI products and third-party agents. Partner with engineering, security, legal, compliance, architects, executives, and enterprise customers to establish scalable platform capabilities supporting standards such as FedRAMP, DoD Impact Levels, Export Control, and the EU AI Act.

Lead the vision and strategy for a major area of Zip’s AI Agent product. Partner with engineering, design, AI research, customers, and leadership to build agent and chat capabilities, define high-value use cases, and establish evaluations, guardrails, rollout gates, and feedback loops that ensure accurate, reliable, auditable experiences.

Own the strategy and roadmap for Retool’s AI platform infrastructure, enabling enterprises to deploy, operate, observe, secure, and scale AI-powered applications and agents. Partner with engineering and enterprise customers on deployment, reliability, access controls, APIs, infrastructure as code, observability, and operational tooling. Lead initiatives from discovery through launch and adoption while making technical tradeoffs and turning recurring customer needs into scalable platform capabilities.

Staff Product Manager responsible for importing, modeling, governing, and activating contract data across Ironclad’s platform. The role defines data foundations, knowledge graph capabilities, AI agents, integrations, schemas, APIs, quality metrics, lineage, and trust controls. This leader partners across Engineering, AI, Design, Search, Contract Understanding, and business teams to deliver context-aware experiences that support search, analytics, workflows, predictions, recommendations, and automated actions.

Owns the strategy, prioritization, requirements, launch, adoption, and continuous improvement of AI-enabled products. Translates ambiguous healthcare, clinical, operational, and business needs into product roadmaps, PRDs, KPIs, and execution plans. Partners with engineering, data, security, compliance, legal, clinical, and operations teams to deliver responsible, secure, compliant, and measurable AI solutions.

Own Litify’s AI Call Intelligence product line end to end, including call capture, transcription, summaries, conversational insights, voice agents, and agentic workflows. Define the roadmap, quality standards, guardrails, and evaluation practices; lead client discovery, beta programs, competitive research, backlog prioritization, and cross-functional delivery. Partner with engineering, design, data science, and go-to-market teams to launch products, drive adoption, and measure outcomes.

Own the strategy, development, launch, and performance of a new AI wedding product from zero to one. Responsibilities include defining the roadmap, market positioning, trustworthy AI behaviors, rapid prototyping, user testing, measurement, unit economics, and use of proprietary marketplace and behavioral data. The role also partners with executive, engineering, design, marketing, and data science leaders to shape company-wide AI direction.

Lead strategy, roadmap, and execution for Front's Copilot AI assistant embedded in the inbox. Define priorities, use quantitative and qualitative research, drive end-to-end product development, and partner with engineering, design, data, marketing, and sales. Deliver trusted, high-quality AI features (summarize, prioritize, draft, classify, route) and align stakeholders including executives.

Own the strategy, roadmap, and delivery of Gigawatt’s customer-facing AI agent platform for utilities. Lead SDK and no-code builder experiences, agent orchestration, retrieval, evaluation, observability, governance, tenant isolation, auditability, and human-in-the-loop controls. Partner with engineering, design, security, and utility customers to ship production-ready capabilities, define platform commitments, and drive adoption, quality, reliability, and cost outcomes.

Lead the roadmap and delivery of an AI data platform supporting internal teams and external healthcare products. Manage ML and LLM platform workstreams across data ingestion, training, deployment, monitoring, and workflow optimization. Partner with AI engineers, researchers, data scientists, clinical leaders, and business stakeholders to define requirements, develop user stories, validate model performance, and turn proofs of concept into scalable production capabilities.

Own Demandbase’s AI product adoption and growth strategy, guiding customers from discovery and activation through repeat usage, cross-capability adoption, consumption growth, retention, and commercial expansion. Define adoption funnels, meaningful value metrics, lifecycle strategies, experiments, packaging, entitlements, and monetization mechanics. Partner with Product, Analytics, Data Science, Finance, Sales, Customer Success, and Marketing to improve AI outcomes, establish behavioral insights, and turn successful experiments into scalable product experiences.

Own Temporal’s AI ecosystem integrations and partnerships portfolio, including roadmap strategy, partner experiences, reference architectures, positioning, launches, enablement, and adoption. Engage customers and track the AI tooling market to prioritize investments. Collaborate with Engineering, Marketing, Sales, Solutions Architecture, DevRel, and external partners to launch integrations, establish KPIs, and drive ecosystem momentum.

Own the vision, roadmap, and launch of a new AI-focused CI/CD product. Drive the product from internal system to customer offering through user research, design partners, developer experience, positioning, pricing, and cross-functional leadership. The role requires deep understanding of agent-driven software development, CI systems, technical product tradeoffs, and early-stage product development.

Own the Intelligence and Applied AI product area for an AI automation platform. Define benchmarks, evaluation frameworks, and production quality standards; guide model experimentation and determine which capabilities ship. Partner with engineering on platform development, observability, and monitoring, establish operating processes, and enable sales and customer success to communicate AI capabilities accurately.

Own the product experience for healthcare executives and operators using Notable’s AI platform. Lead strategy, customer discovery, intuitive product design, proactive intelligence and agent development, adoption and expansion experiments, and product-led growth. Partner with engineering, Customer Success, and go-to-market teams to increase utilization across the deployed customer base, improve onboarding, deliver actionable insights, and turn customer maturity and expansion into product-driven experiences.

Drives feature-level strategy, requirements, roadmap planning, execution, and deployment for C3 Generative AI products. Collaborates with engineering, data science, marketing, sales, and customers to translate technical and market needs into product specifications and software capabilities. Conducts customer scoping sessions, demos, and analyst presentations, while supporting marketing collateral and feature releases.

Own the AI Hub’s vision, strategy, and roadmap for AI-powered specialty pharma patient support. Define AI-human workflows, automation strategy, safety controls, metrics, and customer-facing product capabilities across benefit verification, prior authorization, enrollment, financial assistance, and adherence. Lead cross-functional collaboration across engineering, AI/ML, operations, clinical, compliance, implementation, sales, and customer success while mentoring other product managers and driving measurable patient and customer outcomes.

Product Manager for Gen AI Platform to drive strategy, execute product roadmaps, and manage cross-functional teams while ensuring quality training data systems for AI models.

The Product Manager will help bring the EBSCOhost AI Exchange platform and MCP-based solutions to market. Responsibilities include supporting go-to-market initiatives, gathering customer and market feedback, collaborating with technical and cross-functional teams, communicating stakeholder updates, defining business requirements, and supporting roadmap visibility. The role requires 0–2 years of product management experience, familiarity with AI agents and MCP workflows, customer collaboration, and strong organizational teamwork.

Lead Storyblocks’ AI product team and own the roadmap for conversational search and its MCP connector. Partner with engineering, data science, design, research, marketing, and analytics to define metrics, run experiments, conduct customer research, manage complex platform launches, and deliver business results. The role requires shipping customer-facing AI products, optimizing search and relevance, evaluating models, and communicating priorities to technical and executive stakeholders.

Own one or two client AI product engagements from kickoff through iteration. Translate ambiguous needs into requirements, backlogs, sprint plans, and evaluation criteria; manage timelines, scope, resources, and client communications; direct designers and engineers; ensure AI output quality; identify blockers; and develop repeatable AI-first delivery processes. The role requires client engagement experience, a track record of shipping AI products or features, strong communication, technical fluency, and independent ownership.

Owns the roadmap, prioritization, delivery, and optimization of internal AI products supporting Revenue Operations. Partners with RevOps, engineering, data, and product teams to develop AI capabilities for forecasting, sales execution, deal governance, proposals, and enablement. Uses stakeholder research, workflow analysis, usage data, and outcome metrics to improve adoption, accuracy, productivity, process efficiency, deal quality, and revenue impact.

Own the strategy, roadmap, development, delivery, and continuous improvement of AI-powered products. Translate business and customer needs into product requirements, coordinate engineering and AI teams, define success metrics, monitor adoption and ROI, and support responsible AI governance. The role also involves stakeholder management, leadership communication, market and technology evaluation, release planning, and ensuring successful product implementation.

Leads the strategy, roadmap, development, launch, and optimization of AI-powered products. Defines product vision, requirements, priorities, success metrics, and adoption goals while coordinating engineering, AI, business, executive, and customer stakeholders. Evaluates emerging AI capabilities, supports responsible AI governance, manages product performance, and drives continuous improvement aligned with business objectives.

Leads strategy, discovery, delivery, evaluation, and continuous improvement for AI-enabled enterprise products and tools. Defines product roadmaps, user stories, KPIs, and evaluation frameworks covering reliability, accuracy, security, cost, and performance. Uses customer feedback, market analysis, and experimentation to prioritize features and validate assumptions. Partners with engineering teams, including colleagues in India, and translates complex AI concepts into scalable business value.