Top AI Product Manager Jobs in Los Angeles, CA

As a Lead Product Manager, you'll drive AI-based consumer products from concept to commercialization, managing strategy, execution, and P&L while collaborating with cross-functional teams.

Lead product management for Domino's AI Factory, enhancing MLOps capabilities, driving innovations, and integrating governance in model development. Engage with enterprise clients and maintain high product quality standards.

As a Principal Technical Product Manager, you'll strategize AI/ML integration in Valorant, enhancing gameplay and operational outcomes through collaboration and influence across teams.

As an AI Principal Product Manager, you will manage AI initiatives, define product vision, measure metrics, and lead teams to drive the product roadmap and customer satisfaction.

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.

The Senior Product Manager will lead the AI product roadmap for Revenue Cycle Management, focusing on AI-driven billing solutions and metrics measurement, while collaborating with cross-functional teams to deliver value.

Lead AI product strategy and execution at Sidecar Health, focusing on AI-member experiences for healthcare. Drive development of AI features, evaluate AI product quality, and manage cross-functional teams to enhance healthcare shopping and transparency.

The Senior Technical Product Manager will lead the strategy and execution of Fingerprint's Bot Detection product, covering detection capabilities, customer experience, and commercialization efforts.

The Principal Product Manager of AI Measurement & Reporting maximizes value from AI investments, overseeing portfolios, prioritizing projects, measuring impact, and reporting success to senior leadership while collaborating with various teams.

Lead growth strategy and execution for UpToDate Expert AI across awareness, acquisition, activation, and early engagement. Drive cross-functional initiatives with marketing, sales, engineering, and data teams to improve discovery, onboarding, and activation. Define OKRs, measurement frameworks, run experiments, and translate clinician insights into product and go-to-market actions while balancing clinical, privacy, and regulatory constraints.

Lead an AI-first product area end-to-end: define roadmap, engage customers, translate needs into initiatives, measure KPIs, prototype with AI, align cross-functional teams, mentor product staff, and drive adoption, retention, and revenue in a SaaS environment.

Lead ServiceTitan's Australian product roadmap, localize core platform for compliance and market fit, drive customer discovery with Australian contractors, coordinate with global engineering and GTM teams, measure region-specific metrics, and launch/iterate products to establish long-term retention and sales enablement.

The Senior Product Manager will prioritize and deliver AI products, support cross-functional teams, enhance key metrics, and drive market leadership through innovation and research.

Responsible for defining and executing AI and data product vision for a Legal ERP platform, ensuring alignment with customer needs and cloud strategy.

Lead product strategy and roadmap for WorkSolo's international AI creator platform. Design AI-native creation workflows, drive localization and market fit, run user research and experimentation, partner with AI/ML, design, engineering, and data teams, and own cross-functional execution and go-to-market readiness for overseas markets.

Lead product management for AI tools in software/SaaS, manage product lifecycle, drive strategic roadmap, and ensure product adoption through iterative shipping and user feedback.

As a Technical Product Manager at Arize, you will strategize and develop the product roadmap, engage customers for feedback, collaborate with cross-functional teams, and integrate market insights into product requirements.

Lead the product management of data products and AI/ML platform, driving strategy, execution, and adoption of data systems across teams for improved customer outcomes and business impact.

Lead definition, prioritization, and delivery of agentic AI workflows for revenue cycle operations. Manage backlog, write and maintain PRDs, coordinate phase-gate decisions, measure adoption and revenue impact, and collaborate with AI engineering, data teams, and stakeholders to responsibly scale autonomy. Build foundational processes, templates, and prioritization frameworks while translating ops workflows into engineering requirements and ensuring trust and accuracy before advancing automation phases.

As a Senior Product Manager for Chess AI, you'll shape the AI/ML roadmap, partner with engineering, and define product success metrics, while collaborating with stakeholders to enhance user engagement and experience in chess.

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.

The Senior Product Manager will lead the roadmap for AI-based shopping experiences, collaborating with engineering, design, and data teams to create user-friendly AI interactions and improve product engagement metrics.

Own product areas within BJAK's AI Neobank app (insurance, payments, savings, investing, travel). Define problems, scope, metrics, roadmaps; collaborate with engineering, design, data, operations, compliance and business teams; launch features, monitor performance, iterate using data and feedback while balancing speed, UX, business impact, and compliance.

Lead the AI product strategy, collaborating with engineers to balance user needs and technical feasibility, ensuring quality and timely product delivery.