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

Lead the strategy, roadmap, backlog, integration, governance, and operational scaling of Coupa’s internal AI Foundations platform. Coordinate AI, engineering, IT, security, legal, and enterprise stakeholders; manage platform integrations and monitoring; operationalize AI governance; enable internal adoption; and cultivate subject-matter expert communities. The role also requires architecting, building, deploying, and scaling AI agents and agentic workflows across enterprise use cases.

Own Coupa’s GTM and Revenue Operations agentic AI product suite, translating sales and RevOps needs into AI product requirements, roadmaps, workflows, and orchestration strategies. Prioritize use cases, manage the backlog, define agent boundaries, monitor performance, lead testing and adoption, and establish governance. Partner with GTM leaders, architects, engineering, IT, and PMO teams to scale autonomous sales workflows and deliver measurable revenue and productivity impact.

The Lead Product Manager will define the product strategy for AI/ML features, collaborating with engineering to deliver innovative solutions, enhancing user experiences, and bridging research with production while making critical decisions in ambiguous situations.

Lead the AI content operations product roadmap for Content Platforms: embed with content teams, design and prototype AI-powered content tools (metadata, doc-to-CMS, review, research, asset generation), ship prototypes and partner with engineers, drive adoption, and make build-vs-buy decisions while integrating tools into Sanity and the broader content stack.

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.

Lead strategy and roadmap for AI-powered SaaS features; collaborate with engineering, data science, UX, and GTM teams to define problems, run discovery and experiments, manage backlogs, deliver product outcomes, and drive post-launch adoption and performance improvements.

Own the vision, strategy, and roadmap for an AI-enabled product vertical spanning detection, risk scoring, alerts, screening, and compliance workflows. Partner with engineering, design, customers, and internal teams to discover problems, prototype, ship, and iterate rapidly. Build AI-powered features end to end, use data and experimentation to guide decisions, and balance speed, accuracy, auditability, and trust in a regulated fraud and AML environment.

Lead the vision, strategy, roadmap, and portfolio for AI-powered skilling products serving learners, managers, and enterprises. Partner with Design, Engineering, Marketing, content providers, and platform teams to deliver trustworthy LLM-powered experiences, measurable learning outcomes, credentials, and enterprise integrations. Drive product quality, adoption, retention, go-to-market strategy, and customer value while managing and developing Product Managers and product leaders.

As an AI Product Manager, you'll shape AI-powered applications, drive product development, collaborate with teams, and ensure alignment with business objectives and user needs.

As an Outbound Product Manager, you'll focus on AI and Workflow Automation for the Guidewire Cloud Platform, driving product direction, gather insights, collaborate cross-functionally and enhance customer adoption of automation solutions.

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.

Lead the roadmap, development, and rollout of Jerry.ai’s customer-facing Agentic AI platform. Partner with engineering and OpenAI to design prompt strategies, evaluation frameworks, guardrails, voice models, and workflow automation. Translate technical architecture into organizational standards, improve answer quality and automation through experimentation, and balance latency, cost, and accuracy. The role owns the consolidation and advancement of AI capabilities across chatbots, validation, back-office automation, voicebots, computer-use agents, and consumer AI applications.

Own the strategy and execution of Jerry.ai’s AI platform and customer-facing agentic AI products. Responsibilities include consolidating prompts onto a unified platform, prioritizing chatbot initiatives, coordinating engineering and cross-functional teams, evaluating voicebot and computer-use technologies, managing the OpenAI partnership, and shaping ChatGPT distribution. The role combines hands-on prompt engineering, technical architecture discussions, data analysis using SQL, and leadership of scalable production AI products.

Own the strategy and execution of Jerry.ai’s AI platform, including prompt consolidation, chatbot prioritization, platform architecture, and emerging technologies such as voicebots and computer use. Manage the OpenAI relationship and Jerry’s ChatGPT presence while aligning engineering, data, and operations teams. The role requires hands-on AI experimentation, technical systems thinking, SQL analysis, and the ability to translate strategic ideas into scalable, production-grade products.

Own Jerry.ai’s AI platform strategy and technical product prioritization. Consolidate prompts across multiple systems, coordinate engineering and cross-functional execution, evaluate emerging technologies such as voicebots and computer use, manage the OpenAI relationship, and guide Jerry’s ChatGPT presence. The role combines hands-on prompt engineering, AI experimentation, API and architecture discussions, data analysis with SQL, and translating strategic ideas into scalable production products.

The Senior Product Manager will define AI vision, partner with engineering, launch products, and engage with customers to innovate enterprise AI solutions.

Lead the strategy and roadmap for Demandbase’s orchestration platform, including workflow builders, triggers, actions, integrations, and AI-assisted automation. Partner with engineering to scale high-volume, low-latency event processing and support emerging agentic use cases. Drive platform extensibility, reliability, transparency, and user efficiency across enterprise GTM workflows.

Own the product roadmap for AI workload and agent runtime orchestration across Kubernetes clusters and heterogeneous accelerators. Responsibilities include deployment APIs, workload placement, capacity, autoscaling, isolation, networking, governance, metering, reliability, and auditability. The role spans two engineering pods and requires deep expertise in Kubernetes, GPUs, distributed systems, multi-tenancy, platform APIs, and technical prototyping, with influence across matrixed teams and no direct reports.

Embed with high-value customers to discover and deliver off-platform tasking solutions, own the end-to-end fellow experience in external environments, graduate bespoke integrations into platform primitives, define success metrics for speed and repeatability, and partner cross-functionally to scale revenue-critical AI training-data engagements.

Lead initiatives for user acquisition and growth at Figma, focusing on strategy development, user experience optimization, and collaboration with marketing teams.

Own the AI platform product roadmap, drive strategy for ML/AI infrastructure (training, serving, monitoring, vector search, feature stores), partner with engineering and GTM to operationalize AI at enterprise scale, and define pricing and commercialization to increase adoption.

The Product Manager will lead the Conversational AI and Communications Platform at Mango Voice, managing product strategy, development, and cross-functional collaboration to enhance customer communication experiences.

Lead product strategy and execution for AI-powered solutions across enterprise functions. Build intelligent agents, automation workflows, and operational tools to transform business operations and improve user experiences.

Own the AI product strategy and roadmap across document intelligence, workflow automation, and data-driven decisioning. Manage and mentor AI and data engineers, embed AI capabilities into the mortgage point-of-sale platform, evaluate vendors and models, and coordinate cross-functional delivery. Ship AI products from concept through production while balancing cost, quality, speed, and regulatory considerations. Establish feature prioritization processes, define product specifications, communicate tradeoffs to executives, and ensure AI systems are reliable, measurable, and aligned with customer needs.

The Data and AI Product Manager owns product vision, roadmap, backlog, requirements, prioritization, delivery cadence, success metrics, adoption, governance, and stakeholder communication. The role partners with engineering teams and business units to deliver governed data and AI products, measure business value, guide product direction, and support engineering pod leadership. It requires substantial product management experience, SQL proficiency, data platform knowledge, and the ability to translate user and business needs into actionable product decisions.