Top Hybrid Senior Level Product Manager Jobs in Los Angeles, CA

Lead product strategy and execution for a shared digital platform addressing homelessness. Work with CEO, CTO, engineering, and frontline users to design, build, implement, and scale outreach and shelter software, drive discovery, partner on adoption and training, and measure community-level impact.

Owns the lifecycle of GenAI-powered products spanning machine learning systems, media workflows, metadata, and enterprise integrations. Defines requirements, roadmaps, user stories, and product priorities; partners with Engineering, Data Science, Program Management, vendors, and business stakeholders; evaluates model quality, cost, latency, and performance; validates and improves products post-launch; and mentors junior Product Managers.

Leads strategy, roadmap, and execution for Spotlight monetization and ad marketplace growth. Owns inventory expansion, advertiser demand, auction health, yield, measurement, and revenue outcomes. Partners with Product, Engineering, Data Science, Design, Partnerships, Sales, and content teams to translate consumer and content changes into marketplace requirements. Defines metrics, runs experiments, manages trade-offs, and communicates recommendations to executives while balancing monetization with user and ecosystem health.

Lead the vision, strategy, and roadmap for 2K Technology’s cloud and physical infrastructure and developer tools. Align infrastructure, engineering, SRE, technical operations, partners, and studio stakeholders around scalable, reliable, cost-effective technology capabilities. Responsibilities include requirements definition, customer interviews, competitive analysis, strategic planning, KPI development, stakeholder alignment, and delivery of high-quality technical products.

Own and execute Magnite’s mobile in-app advertising product strategy for the DV+ platform. Lead mobile initiatives, SDK integrations, product prioritization, customer and partner feedback, cross-functional delivery, documentation, go-to-market activities, and adoption. Serve as the internal mobile advertising subject matter expert while using data and AI tools to develop scalable solutions and improve operational efficiency.

Lead strategy, roadmap, and execution for agentic applications supporting customer acquisition, internal operations, and partner capabilities. Drive 0-to-1 product development, define requirements and KPIs, collaborate with engineering, AI/ML, data science, and operations teams, manage cross-functional stakeholders, and validate use cases through experiments and iterative delivery.

The Lead AI Product Engineer will design, build, and operate AI agent systems, focusing on architecture, reliability, and performance while collaborating on user-centric workflows.

Owns product strategy, roadmap, delivery, and launch for video and advertising products across streaming platforms. Responsibilities include backlog health, vendor coordination, product specifications, release tracking, stakeholder management, user research, requirements definition, prioritization, and business-case development. The role requires strong knowledge of streaming, CDNs, encoding, playback optimization, video advertising, and external technical partner management.

Own the acquisition product roadmap and engineering priorities to drive durable user growth. Define target audiences and channel mix, build product-driven acquisition mechanics (referrals, growth loops), enable channel effectiveness (discoverability, search/AI readiness, integrations, tracking), test new acquisition tactics, and align product investment with Performance Marketing, SEO, Partnerships, and Brand while measuring long-term subscriber value.

Own the vision, roadmap, and performance of enterprise business systems supporting order-to-cash, procure-to-pay, inventory, fulfillment, and multi-channel operations. Lead NetSuite ERP product direction, integrations with EDI, WMS, 3PL, and downstream systems, requirements gathering, UAT, releases, and change management. Partner cross-functionally to improve operational efficiency, data integrity, inventory accuracy, fulfillment, purchasing, invoicing, and scalability.