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

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.

Leads the AI automation product vision and roadmap for disability claims operations. Prioritizes AI and RPA opportunities, designs human-in-the-loop workflows, manages confidence and escalation controls, and aligns product strategy with engineering and operations. Directly manages and develops Product Owners across AI, analytics, foundation, and RPA teams while communicating business value and delivery trade-offs to senior leaders. Drives measurable operational transformation using agentic AI, LLMs, and scaled agile delivery.

Own the strategy and operating model for self-optimizing paid marketing systems. The role connects paid-growth channels, audiences, creative, measurement, experimentation, automation, and AI agents to improve acquisition efficiency and user quality. Responsibilities include establishing experimentation workflows, interpreting geo and cohort signals, managing paid spend, improving measurement, guiding agentic infrastructure, and partnering cross-functionally with Growth, Marketing, BizOps, Strategy Finance, and Ecosystems.

Own the end-to-end customer experience for AI agents, including agent quality, evaluation frameworks, human handoffs, feedback loops, roadmap, and production improvements. Partner closely with engineering and operations to analyze failures, improve agent performance, define automation boundaries, and ship agentic product capabilities quickly.

Define the vision, strategy, and roadmap for Microsoft’s Responsible AI platform. Lead development of capabilities for AI evaluation, red teaming, safety guardrails, risk detection, monitoring, governance, transparency, and compliance. Conduct enterprise customer discovery, translate emerging risks and regulations into scalable products, and coordinate execution across engineering, research, legal, security, compliance, and Microsoft product organizations. Establish success metrics, improve adoption, and represent Microsoft with customers, partners, standards bodies, and industry forums.

Owns AI product bets and core product features from research and prototyping through beta and go-to-market. The role leads user research, rapid experimentation, agent and evaluation design, AI software development workflows, product prioritization, adoption, pricing, launches, and growth. It partners closely with engineering, design, data science, sales, and customer success while applying data-driven judgment to product decisions.

Own Auth0’s AI product strategy and roadmap, focusing on secure identity and access for AI agents. Define and launch 0-to-1 products, translate customer and developer needs into technical requirements, manage engineering backlogs, and validate prototypes. Apply AI and identity standards including MCP, OAuth, OIDC, SAML, and mTLS. Partner cross-functionally with engineering, design, security, marketing, developer relations, and sales to drive launches and adoption.

Lead AI strategy and product development for investment research. Own the product lifecycle from strategy and roadmap through discovery, experimentation, software delivery, launch, adoption, and scaling. Partner with investment professionals, researchers, and technology teams to build AI-enabled research capabilities and data foundations using unstructured investment knowledge. Influence executives, align cross-functional priorities, measure business outcomes, and lead high-performing product teams.

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 the Evals & Annotations product area, including evaluation creation, execution, human review, annotation workflows, and analysis. Set product strategy and roadmap, prototype developer experiences, collaborate with Design and Engineering, engage technical customers, and drive products from problem definition through launch and iteration. The role requires strong understanding of LLM evaluations, AI development workflows, backend systems, UX, and hands-on technical problem-solving.

Own the roadmap for an AI product area, prioritize high-impact initiatives, understand customer needs, validate product hypotheses, and guide cross-functional teams from discovery through delivery. The role requires technical fluency with APIs, strong data analysis, customer engagement, business prioritization, and collaboration with engineering, design, product marketing, and business teams to drive adoption of scalable B2B SaaS products.

Own strategic product initiatives across Calico, Lynx, and emerging AI-focused products. Define product vision and roadmaps, competitive positioning, go-to-market strategy, customer discovery, messaging, and cross-functional execution from MVP through general availability and revenue. Partner with engineering, sales, marketing, customers, and ecosystem partners to deliver enterprise infrastructure, Kubernetes networking, security, and AI capabilities.

Own the full lifecycle of enterprise AI products, from discovering and validating use cases through MVP development, scaling, and broad adoption. Build AI-native experiences including agents, copilots, and workflow automation. Define quality metrics, evaluate AI performance, and drive adoption across IT, HR, Finance, and go-to-market teams. The role requires strong product leadership, experience shipping AI/ML products, and the ability to balance experimentation with reliable enterprise execution.

Own the strategy, roadmap, delivery, enablement, messaging, metrics, and governance of employee-facing enterprise AI products. Lead discovery, prioritize backlogs, coordinate agile delivery, build self-service AI learning experiences, support agent development, and partner with Security, Legal, Data, HR, and Finance. Drive adoption, safe AI use, employee proficiency, self-service resolution, and measurable business outcomes through pilots, experimentation, training, communications, and responsible AI practices.

Own Deepgram’s AI applications product line, including strategy, roadmap, customer definition, acquisition, activation, retention, monetization, and profitability. Lead zero-to-one product development, represent the product with customers and partners, and coordinate research, engineering, design, and marketing. Prototype and validate ideas through real usage and measurement while communicating decisions to executives. The role requires shipped, paid consumer or prosumer products, deep AI application experience, technical depth, design judgment, and strong product leadership.

Own the strategy, roadmap, and full product lifecycle for Vertex’s AI-powered indirect tax audit and notice management solution. Translate tax audit workflows into AI-enabled features, establish evaluation frameworks for accuracy and compliance, guide human-in-the-loop experiences, and collaborate with engineering, design, sales, marketing, consulting, and customers. The role requires deep expertise in audit evidence gathering and notice response workflows, strong product leadership, and the ability to drive cross-functional initiatives.

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 roadmap and delivery of Procore AI Go, a native conversational AI app for construction. Lead the product from beta to wide release, define AI-powered mobile experiences, connect the app to project data, and determine how AI capabilities integrate across Procore products. Partner with UX, Engineering, customers, and stakeholders to understand field workflows, prioritize opportunities, ship polished experiences, and measure product quality and outcomes.

Own AI product strategy for public sector and national security customers. Translate customer needs into requirements, roadmaps, pilots, and measurable outcomes across AI evaluation, red-teaming, runtime controls, governance, observability, and agentic systems. Partner with engineering, research, delivery, design, and go-to-market teams while analyzing model behavior, evaluation results, datasets, and customer workflows. The role is customer-facing, requires regular travel and on-site engagement, and focuses on high-consequence government environments.

Own the roadmap for Lyft’s rider-facing ML and AI products across the Rider Application. Define model objectives, product metrics, experiments, rider value strategies, and personalization capabilities. Partner with machine learning engineers, data scientists, and stakeholder teams to drive adoption, financial outcomes, and model performance. Lead product requirements, planning, executive presentations, and cross-functional delivery for technically complex products.

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.

Own the customer-facing Superhuman experience and Console, including live conversations, builder tools, self-serve activation, analytics, personalization, and weekly releases. Partner with design, engineering, and leadership to improve time-to-value, retention, and customer outcomes. Lead product decisions across web, voice, and video experiences while enabling customers to create, tune, test, and measure AI-powered revenue teammates independently.

Own the vision, roadmap, quality standards, and adoption strategy for catalog APIs powering AI commerce experiences. Lead catalog coverage, product identity, enrichment, ingestion, pricing, availability, freshness, data rights, partner onboarding, metrics, and evaluation initiatives. Partner with engineering, applied science, legal, privacy, security, marketing, and external partners to prioritize investments, guide large senior teams, and scale externally consumed commerce data platforms.

Drive the product vision for Modular's cloud compute platform, collaborating with teams to enhance AI service capabilities and customer engagement.

Own the strategy, roadmap, and delivery of AI-powered capabilities across Mapbox Maps. Partner with engineering, customers, and cross-functional teams to identify use cases, prioritize development, validate solutions, and launch products. Manage pricing and packaging, sales enablement, marketing, trials, and partnerships while driving customer adoption, business growth, and scalable experiences for developers and end users.