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

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.

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.

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 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.

Lead the strategy, development, and scaling of AI-powered products, workflows, automation tools, and decision-support systems. Own roadmaps, prioritize initiatives, define requirements and success metrics, build prototypes, evaluate AI technologies, and guide solutions through deployment and adoption. Collaborate with engineering, design, operations, stakeholders, and vendors while establishing responsible AI governance, managing risks, and measuring business impact.

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.

Define the vision, roadmap, and priorities for AI-powered products. Translate customer needs and ambiguous AI capabilities into product requirements and user experiences, partnering with engineering, research, design, sales, and marketing to launch and improve products. Use customer feedback, usage data, and performance metrics to drive iteration and product value.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including its Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and metrics, and collaborate across engineering, security, IAM, billing, design, marketing, and partnerships. Lead platform adoption for human and AI-agent developers while representing MongoDB externally and driving ecosystem growth.

Lead the strategy and development of Traba’s AI agent platform from 0 to 1. Design production agents that understand context, orchestrate tools, maintain context, and execute supply-chain workflows. Partner with founders, engineering, ML teams, customers, and design partners to define requirements, prototype solutions, evaluate system quality, and improve product reliability. The role requires deep technical judgment, customer-embedded product development, rapid iteration, and experience launching customer-facing AI products.

Build Traba’s 0-to-1 AI agent platform for industrial supply chain workflows. Responsibilities include defining product strategy, designing autonomous agents, writing requirements, partnering with engineering and ML teams, validating concepts with customers, creating evaluation and quality frameworks, analyzing data, and communicating complex AI system behavior and business impact.

Lead the strategy and development of Traba’s AI agent platform. Build production agents that reason through workflows, orchestrate tools, maintain context, and execute work autonomously. Partner with founders, engineering, ML, design, and customers to define requirements, prototype solutions, establish evaluation and quality frameworks, and launch 0-to-1 AI products. The role requires deep customer engagement, technical judgment, rapid iteration, and comfort operating in an ambiguous startup environment.

Own and ship agentic AI products for Uber’s customer experience platform. Define product strategy, roadmaps, requirements, success metrics, and tradeoffs while partnering with Engineering, Data Science, Design, User Research, and Operations. Improve agent quality through evaluation, experimentation, simulations, observability, debugging, and human feedback. Use customer insights and performance data to iterate on AI-powered experiences and drive cross-functional execution from discovery through launch.

Lead product strategy and roadmap for AI-driven personalization products at Uber. Define requirements, prioritize features, and partner with engineering, data science, and design teams to deliver scalable AI experiences. Drive innovation in personalization, unified agent context, retrieval, ranking optimization, analytics, and generative AI while serving as an AI product thought leader.

Leads the strategy, roadmap, execution, and optimization of forecasting and AI data products. Manages product backlogs, stakeholder demand, data quality frameworks, governance, architecture, adoption, and performance. Partners with data scientists, engineers, business leaders, Legal, Compliance, and Privacy teams to deliver scalable, compliant solutions. Guides data architecture and build-versus-buy decisions while driving measurable business value and mentoring agile squads.

Owns product vision, strategy, roadmap, and outcomes for onboarding AI capabilities into Microsoft’s platform. Leads intake, packaging, launch, distribution, lifecycle management, reusable platform primitives, standardized contracts, automation, and self-service experiences. Partners with engineering, TPM, compliance, operations, and product teams to establish standards, manage dependencies, and improve onboarding through measurable metrics such as availability time, throughput, reuse, launch success, and reduced manual work.

Lead product strategy and delivery for transaction monitoring and fraud detection across payments. Own real-time and post-transaction rules, alerting, investigator tooling, client-specific controls, and automation. Partner with Risk, Compliance, Data, and Engineering to improve detection accuracy, reduce false positives and operational overhead, ensure regulatory alignment, and scale monitoring globally while exploring AI-driven improvements.

Own product strategy and multi-year roadmaps for GPU back-end networking. Translate AI workload needs into requirements, lead products through qualification and deployment, coordinate engineering and business teams, influence suppliers, and improve performance, reliability, cost, observability, and launch readiness.

Own the AI product roadmap, prioritization, accuracy metrics, model and vendor requirements, release planning, and correction feedback loop. Partner with engineering, product, tax, QA, UX, and client success to improve document extraction coverage, accuracy, cost, latency, and filing readiness across K1x products.

Own the post-order product roadmap, improving communications, ticket delivery, AI-powered self-service, agent-assist tooling, customer satisfaction, contact rate, and cost to serve. Partner with Fan Operations, Engineering, Data, Trust & Safety, and Supply to deliver measurable outcomes. Use SQL and analytics to identify customer friction and guide product improvements across marketplace support and ticket fulfillment experiences.

Own the vision, roadmap, requirements, and execution for an AI infrastructure orchestration platform managing power, cooling, and compute. Partner with engineering, reinforcement learning, deployment, customer success, and go-to-market teams. Lead customer discovery, technical tradeoffs, product metrics, positioning, release planning, and creation of product management processes from scratch.

Owns product strategy, roadmap, and execution for AI-powered experiences serving home service professionals. Responsibilities include researching workflows, defining requirements, shaping model behavior and user experiences, prioritizing roadmaps, establishing product and AI performance metrics, coordinating launches, and improving products through customer feedback and analytics. The role partners closely with Engineering, Design, Data, Marketing, Sales, Customer Success, Operations, and AI platform teams.

Own Flodesk’s AI product behavior and quality systems across prompt creation, agentic editing, and future marketing workflows. Develop and version prompts, define context and acceptance criteria, build evaluation datasets and rubrics, monitor quality, review traces, diagnose failures, and establish release gates. Translate research, analytics, support feedback, and production issues into priorities and experiments while partnering with engineering, design, marketing, copy, and product teams.

Leads strategy, roadmap, discovery, development, and launches for Stella, ServiceTrade’s agentic AI product suite. Partners with engineering, design, sales, marketing, and customer success to deliver trusted AI capabilities, manage backlogs and UAT, drive adoption, and align product execution with customer needs and business goals.