Top Product Manager Jobs in Los Angeles, CA

Lead product strategy, discovery, and execution for LeafLink's marketplace and financial services. Partner with Design, Engineering, Data, Operations, and Commercial teams to define roadmaps, validate solutions, ship customer-facing B2B products, measure outcomes, and iterate using customer research and analytics.

Lead product vision and roadmap for Studio Distribution reporting and analytics. Partner with business and engineering to define priorities, document requirements, and deliver reporting, data warehouse, ELT, and analytics solutions. Serve as subject matter expert on content distribution data, oversee analysts, and manage the reporting application landscape to enable business insights and decision-making.

The Product Manager will oversee product discovery and delivery, manage the backlog, and collaborate with teams to align product strategy with customer needs.

The Product Manager will develop product vision and roadmap, coordinate with engineering and design, and analyze data to drive decisions, ensuring user needs are met in a crisis assistance platform.

Lead the Benefits Administration product: define and deliver features, write requirements, manage roadmap, perform customer research, measure impact, and collaborate cross-functionally to build compliant, scalable enrollment, carrier integration, and employee self-service experiences that improve HR efficiency and adoption.

The Product Manager will define ecosystem integration priorities, evaluate source systems, drive technical definitions, collaborate across teams, and support customers during integration processes.

As a Product Manager for GTM Automation, you will lead strategies for AI-powered products, identify automation opportunities, and collaborate across teams to optimize workflows and improve efficiency.

The Sr. Revenue Tools Product Manager will drive the vision, roadmap, and user experience for core Go-To-Market tools, lead user research, oversee feature execution, and ensure successful tool adoption and iterative improvements.

Lead end-to-end product lifecycle for enterprise products (data warehouse, BI). Define vision and roadmaps, gather and translate stakeholder requirements, collaborate with engineering and architecture, perform data-driven analysis, run grooming and UAT, manage incidents and change requests, monitor vendor performance, maintain documentation and governance, and mentor product specialists.

The role involves owning personalization and discovery features at Babylist, using ML systems for product recommendations and user engagement, while collaborating with engineering teams to enhance customer experience.

The Staff Product Manager, Conversion ML will shape product strategy for Liftoff's machine learning system, Cortex, develop new ideas, conduct experiments, and adapt roadmap based on data.

Own and drive the vision, roadmap, and user experience for core support tools. Lead discovery, write PRDs and wireframes, manage execution with engineering and AI teams, coordinate launches and enablement, and track KPIs to drive adoption and business impact.

The role involves leading data collection efforts, transforming mission needs into a data strategy, collaborating with engineering teams, and ensuring collected data is usable for agents in mission workflows.

The Staff Product Manager will own a major consumer surface or core customer journey at Babylist, defining product strategy, ensuring quality, and leading execution while promoting AI-native workflows and innovation.

As a Product Manager on the Logistics team, you will enhance shipping systems, improve reliability and affordability, and collaborate with cross-functional teams to support logistics infrastructure for the marketplace.

Lead product development for Edmunds' digital advertising offerings for auto dealers. Write user and technical stories, collaborate with engineering and design, run A/B and multivariate tests, scale ad products across client accounts, and build attribution-focused reporting and dashboards to improve revenue, retention, and client engagement.

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.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

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.

Lead the telematics data platform vision and roadmap, partner with R&D and AI teams, productize telematics via APIs and integrations, ensure enterprise-grade reliability, drive cross-functional alignment, and mentor other product managers.

Lead product initiatives for Modo's portfolio, managing cross-functional teams and driving product strategy, execution, and optimization in social gaming.

Own end-to-end product strategy and delivery for post-sales GTM platforms (CRM, customer health, automation, AI agents). Partner with Sales, Marketing, RevOps, and engineering to define requirements, drive adoption, and measure impact to improve productivity, retention, and revenue outcomes.

The Product Manager will lead the Mission Agents team, translating user needs into actionable product direction while collaborating with engineers and stakeholders to deliver impactful solutions.

Support product strategy and execution for digital sales funnels and data products: write requirements and user stories, prioritize roadmap trade-offs, track KPIs, collaborate cross-functionally, complete a capstone PM project, and present results to leadership.

Lead design and pilot a unified product development operating model. Define tooling and AI-enabled workflows, run cross-functional pilot teams, measure success metrics, and partner with executives to scale the model across the organization.