Top AI Product Manager Jobs in Los Angeles, CA

Lead the internal Applied AI product roadmap and transform business workflows across Finance, Operations, and Go-To-Market. Partner with AI engineers and vendors to build applications, prompt pipelines, RAG implementations, and agentic workflows. Define PRDs, success metrics, and roadmaps; oversee agile delivery, prototyping, adoption, change management, reliability, and business impact. The role requires hands-on AI fluency, stakeholder leadership, and experience shipping AI-powered applications or process automation.

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.

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 vision, strategy, roadmap, and adoption of an enterprise agentic AI platform. Translate stakeholder needs into scalable product initiatives, prototypes, user stories, and backlogs while collaborating with engineering, data science, architecture, UX, and business teams. Define KPIs and demonstrate value through adoption, reliability, cost efficiency, user satisfaction, and ROI. Incorporate responsible AI, security, privacy, and compliance into product development.

Owns data and AI products that help healthcare marketers turn compliant customer data into actionable insights and measurable outcomes. Responsibilities include product discovery, AI-first prototyping, opportunity sizing, launch planning, customer adoption, conversion optimization, attribution, experimentation, and commercial validation. The role partners with engineering, account management, customer success, and product marketing while incorporating privacy, evaluation, and human review into AI-powered products.

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 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 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.

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.

Drive the development and roadmap of HPC and AI/ML products for physics, plasma, high-energy-density simulations, and resilient materials discovery. Define features, requirements, positioning, and go-to-market strategy; collaborate with engineering and NVIDIA software teams; identify customers and partnerships; and represent products at workshops and conferences.

Defines LTK’s AI product vision and strategy across agent infrastructure, LLM evaluation, machine learning models, and knowledge graphs. Partners with ML, data science, engineering, and product teams to establish model requirements, evaluation frameworks, launch criteria, and responsible AI practices. Owns trade-offs involving quality, reliability, latency, cost, privacy, transparency, and human oversight while influencing senior leaders and driving AI-powered products for creators, brands, and consumers.

As a Sr. AI Product Manager, you'll develop growth strategies, manage customer motions, collaborate with marketing, and influence product direction based on customer insights for AIStor.

Own the vision, strategy, roadmap, and commercialization of an AI-native agentic platform. Lead customer discovery, define platform architecture and developer experiences, establish AI quality and safety metrics, and partner with engineering on delivery. Develop requirements for governance, security, observability, and human oversight in high-consequence environments. Drive product positioning, pricing, pilots, adoption measurement, and go-to-market strategy while communicating technical product decisions to executives, customers, and partners.

Own the AI product roadmap for document extraction, including prioritization, accuracy metrics, model and vendor decisions, capacity planning, tax-year releases, and correction workflows. Partner with AI, engineering, product, UX, QA, tax, finance, sales, and client success teams to define requirements, evaluate model performance, manage costs and latency, and deliver filing-grade structured data.

Own the strategy and outcomes for Mural’s AI Workflows products from concept through launch. Build prototypes, identify valuable collaboration workflows, define product-quality evaluations, guide model and routing decisions, and determine whether to iterate, scale, or stop based on user evidence. Partner with engineering, ML, design, finance, growth, and other teams on reliability, unit economics, data loops, and agentic multiplayer experiences.

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.

Designs current- and future-state workflows for AI agents across product verticals. The role facilitates discovery, translates business needs into agent-ready requirements and acceptance criteria, identifies human-in-the-loop decisions, establishes reusable workflow standards, partners with UX and engineering, and validates workflows using user feedback, evaluation results, and performance data.

Owns product development for AI-powered audit evidence review software. Responsibilities include gathering requirements, defining and prioritizing features, coordinating Design and Engineering, managing roadmaps and releases, measuring AI quality and business impact, and using product analytics to guide decisions. The role requires shipping LLM-powered features, establishing evaluation frameworks, balancing automation with human review, and delivering measurable customer and business outcomes.