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

Own internal AI and automation products that make Engine’s business functions faster and more scalable. Map workflows, identify high-value repetitive workloads, establish baseline metrics, partner with engineering to build and launch solutions, and drive adoption. The role requires evaluating LLMs and agents, incorporating human review, controlling scope and costs, measuring cycle-time improvements, and transitioning successful workflows to functional owners.

Leads product strategy and adoption for GitLab’s AI-powered software creation experience. Owns the journey from discovery and onboarding through activation, retention, conversion, and expansion across individual developers, teams, administrators, and buyers. Uses customer research, product analytics, funnel and cohort analysis, and experimentation to identify friction, measure outcomes, and improve growth. Partners cross-functionally across GitLab to create a coherent AI Software Factory experience and drive enterprise B2B product-led growth.

Lead the vision, strategy, and execution of Gusto’s conversational AI assistant for small businesses. Expand capabilities across payroll, benefits, HR, and compliance; define integrations and agent-accessible APIs; and partner with engineering, data, design, and research teams. Establish AI quality standards, customer trust principles, and product priorities while shipping incremental improvements quickly.

Leads product strategy and execution for AI training-data capabilities, including data collection, procurement, annotation, human-in-the-loop workflows, quality controls, and feedback systems. Partners with ML Engineering, operations, and subject matter experts to improve model accuracy, throughput, development speed, and cost. Establishes metrics, scales data pipelines, mentors product managers, and drives 0-to-1 initiatives across multiple collection sites.

Own the vision, strategy, and execution of Adyen’s AI assistant for merchants. Define agentic capabilities, safety standards, and quality metrics; ship customer-facing functionality; enable product teams to contribute capabilities; and lead cross-functional collaboration across product, design, engineering, analytics, commercial, marketing, and legal. Use customer research and data to drive adoption, business impact, and simpler experiences across complex payment operations.

Lead discovery, design, and execution for AI transformation initiatives. Map workflows with subject matter experts, define AI solution briefs and QC frameworks, coordinate specialist engineering partners, evaluate outputs, manage shadow runs, and drive end-user adoption. Establish baseline metrics, acceptance criteria, and post-launch performance tracking while translating ambiguous business problems into production-ready AI products.

Own the strategy, roadmap, goals, and metrics for clinical AI products. Lead cross-functional teams of engineers, data scientists, and designers through Agile product development, from opportunity identification and requirements gathering through launch and optimization. Develop user stories and detailed specifications, analyze market and user feedback, prioritize initiatives, and build alignment across stakeholders to deliver intuitive web and mobile experiences.

Own the strategy, roadmap, and execution for Okta’s AI agent identity products. Define capabilities for agent authentication, delegated authorization, dynamic permissions, lifecycle management, and auditability. Partner with engineering, design, architecture, and stakeholders to launch secure, scalable features based on OAuth/OIDC and emerging AI frameworks. Engage customers, monitor market trends, analyze product data, and support marketing and technical sales as the AI identity subject matter expert.

Own product development for Infinitus Studio, a no-code healthcare AI agent platform. Responsibilities include defining agent workflows, context, entities, knowledge and memory systems; translating AI and ML advances into product features; conducting customer discovery; writing requirements; partnering with engineering; analyzing product usage; and shipping, measuring, and iterating on experiences while balancing performance, latency, cost, and healthcare requirements.

Own the strategy and product systems for AI agents that automate complex operational workflows. Define agent reasoning, tool use, autonomy, human escalation, quality evaluation, monitoring, and continuous improvement. Work closely with customers, operators, engineers, and AI practitioners to transform messy processes into reliable products. Establish outcome-based metrics including resolution rate, accuracy, intervention rates, and time to resolution while building trust in production AI.

Own Zuora’s AI Platform strategy and roadmap, including agent orchestration, session and memory management, tools, APIs, governance, and conversational experiences. Partner with engineering and product teams across Billing, Revenue, Payments, CPQ, and Platform to enable consistent enterprise AI capabilities. Drive architecture decisions, security and audit controls, customer feedback loops, analytics, rapid iteration, cross-functional execution, and external thought leadership.

Own and optimise the end-to-end customer onboarding journey, using data, A/B testing and analytics to reduce friction while balancing KYC/KYB and fraud risk. Define strategy, measure success, and drive product adoption across global-scale products.

Own the product strategy and roadmap for SEO and AI visibility across thousands of real estate websites. Lead technical SEO foundations, structured data, performance, experimentation, migrations, measurement, and AI citation visibility. Partner with engineering and product teams to establish scalable defaults, safeguards, acceptance criteria, and reporting that improve organic discovery, client conversions, and platform-wide search quality.

Own the vision, strategy, roadmap, and success metrics for AI-powered procurement products. Lead discovery and development of supplier intelligence, contract insights, obligations, renewals, amendments, risk analysis, and procurement workflows. Partner with engineering, AI, data, design, and go-to-market teams to translate complex customer needs into trusted products, define AI quality metrics, build human-feedback loops, and drive launches, adoption, and measurable business outcomes.

MBA Product Manager Intern supporting C3 AI’s agentic AI platform and domain-specific applications. Responsibilities include writing product specifications, defining success metrics and evaluations, prototyping and testing features, assessing agent accuracy and reliability, and partnering with engineering, design, data science, and go-to-market teams to deliver product improvements.

Own and define a major area of Faros’s AI-native product line. Develop agentic workflows, evaluation and intelligence layers, and integrations with engineering context. Form product hypotheses, prototype with models and tools, collaborate with engineering and design, engage customers, analyze agent performance, and rapidly iterate toward strong customer and business outcomes.

Own the product roadmap for AI-powered content generation and quality systems. Design authoring, generation, QA, evaluation, human review, and content improvement workflows. Define quality gates and launch criteria for AI-generated lessons and feedback, while connecting learner behavior and expert feedback to generation improvements. Partner with curriculum, AI, engineering, product, and learning teams to scale content production with strong quality and pedagogical standards.

Own product discovery, strategy, specifications, metrics, and delivery for Roger’s AI platform. Partner closely with clinicians, agency leaders, engineering, sales, customer success, and operations to identify workflow problems, ship impactful solutions, and measure adoption. This early product hire will shape product direction and practices while improving healthcare documentation workflows for clinicians.

Owns the vision and strategy for an AI product area within Salsify’s PXM platform. Leads customer discovery, AI-assisted research, experiments, pilots, prioritization, and product delivery in partnership with engineering and design. Builds cross-functional alignment, communicates with senior leaders and customers, manages trade-offs, and drives adoption and measurable business outcomes. Requires hands-on experience building with LLMs, agents, and AI tools, plus strong product judgment and 5–8 years of product management experience.

Own JLL’s developer platform spanning CI/CD, developer portals, dependency tooling, infrastructure, observability, governance, and AI agents. Lead engineers and SREs in creating automated pipelines and golden paths that help teams build, deploy, monitor, and govern agents, MCP servers, applications, and services. Work hands-on across product specifications, prototypes, skills, and code while partnering with engineering, architecture, and security leaders. Measure success through production adoption, deployment speed, platform improvements, and backlog velocity.

Owns the roadmap for AI governance and compliance workflows, enabling legal, risk, compliance, and audit teams to create policies, review guardrails, document approvals, and produce audit-ready evidence. The role translates regulations and internal policies into product requirements, leads customer engagements with senior stakeholders, tracks AI regulatory developments, and collaborates with engineering and research. It requires enterprise workflow product management experience, regulated AI governance knowledge, strong communication skills, and customer-site travel.

Own the product roadmap for AI-powered insurance customer experiences, translating strategy into shipped capabilities. Responsibilities include stakeholder and demand management, problem framing, success-metric definition, data-driven analysis, user experience collaboration, prioritization, and cross-functional execution. The role also involves experimenting with Generative AI and agentic technologies and responsibly scaling successful concepts into production.

Own the product strategy and roadmap for advisor communication channels, contact center migration, live transcription, AI copilot coaching, conversation intelligence, follow-up workflows, and compliance. Define measurable outcomes, lead experimentation, and partner with engineering, data, sales, operations, and compliance to improve connection rates, advisor efficiency, and move-in rates.

Own the vision, roadmap, and customer experience for a GPU cloud infrastructure platform. Define provisioning, capacity, scheduling, networking, storage, workload execution, APIs, pricing, and consumption models. Partner with engineering, operations, sales, finance, customers, and executives to improve reliability, utilization, performance, and adoption. Use product and infrastructure data to guide tradeoffs and lead products from discovery through launch and iteration.

Owns Retool’s AI monetization, enterprise expansion, and usage-control product strategy. Responsibilities include improving organizational adoption, defining AI pricing and packaging, building metering and billing systems, creating budgets and usage policies, analyzing unit economics, and partnering with engineering, design, finance, sales, and customer success. The role leads projects from customer discovery through launch, adoption measurement, and iteration, with success measured by expansion revenue, AI adoption, predictable customer spending, and sustainable economics.