Top Entry Level Product Manager Jobs in Los Angeles, CA

Lead customer-centric product development and strategic initiatives for an AI platform. Responsibilities include understanding customer pain points, overseeing product and operations execution, managing accounts, building scalable systems and processes, coordinating with engineering, analyzing performance data, and driving product insights through market and competitive research.

Netflix is hiring a Product Manager for its Compute organization. The provided posting contains no specific responsibilities or qualification details. Compensation is an annual salary ranging from $660,000 to $1,000,000, with flexibility between salary and stock options, plus comprehensive benefits.

Own the vision, roadmap, revenue, adoption, and operations of Docker Sandboxes. Lead product strategy for secure, isolated environments used by developers and AI agents, translating complex infrastructure tradeoffs into simple experiences. Partner with engineering, design, security, operations, customers, and go-to-market teams to define priorities, deliver releases, measure outcomes, and scale reliable services. The role requires deep technical fluency in systems, developer infrastructure, containers, virtualization, security, and software execution environments.

Leads strategy, roadmap, backlog, modernization, and lifecycle execution for enterprise external identity and access management capabilities. Coordinates business, engineering, security, compliance, architecture, analytics, design, and operations teams across multiple healthcare brands. Uses customer insights, data, risk considerations, and operational feedback to prioritize registration, authentication, recovery, identity verification, authorization, and access-management improvements. Ensures secure, accessible, reliable, compliant, and low-friction omni-channel experiences while driving adoption, platform reuse, and measurable business outcomes.

Own the core database and degree audit system for a higher education technology platform. Set product direction for a squad of 4–6 engineers, provide technical expertise on data modeling and system connections, prioritize delivery, lead discovery, document requirements, and drive user acceptance testing while partnering with implementation, integration, and customer success teams.

Owns the roadmap, prioritization, delivery, and optimization of internal AI products supporting Revenue Operations. Partners with RevOps, engineering, data, and product teams to develop AI capabilities for forecasting, sales execution, deal governance, proposals, and enablement. Uses stakeholder research, workflow analysis, usage data, and outcome metrics to improve adoption, accuracy, productivity, process efficiency, deal quality, and revenue impact.

Own the unified roadmap for AI Transformation and Salesforce products. Lead discovery, requirements, prioritization, backlog management, delivery, adoption, and go-to-market coordination across two engineering teams. Partner with business, Legal, Security, Compliance, and Salesforce stakeholders to implement generative and agentic AI solutions, automation, and platform enhancements. Define product metrics, analyze performance, communicate strategy and trade-offs, and drive scalable products that improve employee and customer experiences.

Own the vision and roadmap for StackAdapt’s Attribution stack, including click-through, view-through, CTV, ABM, and other attribution models. Partner with major clients and cross-functional teams to define needs, align stakeholders, create product specifications, and guide engineering, design, and QA delivery. Translate complex data and identity-resolution constraints into product decisions, use experiments and analytics to drive iteration, and develop measurement products that increase customer engagement.

Own Hightouch’s core marketing product portfolio, including audiences, analytics, experimentation, trait building, and orchestration. Set product vision and priorities, lead 0-to-1 innovation, improve adoption, and drive revenue outcomes. The role requires close collaboration with Engineering, Design, executives, customers, and go-to-market teams. This senior, hands-on product leadership position involves managing multiple workstreams, validating market needs, defining MVPs, and presenting product strategy and customer insights.

Own 0-to-1 AI product development for specialty pharmacy. Identify ambiguous customer problems, conduct discovery with pharmacists, patients, and customers, define solutions, and work closely with Engineering and Design to ship quickly. Build data-backed product cases, communicate clearly, operate independently, and thrive in a fast-paced startup environment. Healthcare experience is not required, but curiosity about regulated healthcare and strong interest in AI are important.

Own the vision, roadmap, pricing, packaging, commercial outcomes, and customer discovery for Datacor’s Feed ERP product line. Lead competitive research, advisory groups, AI-enabled capabilities, launches, enablement, and cross-functional prioritization. The role requires deep feed industry knowledge, B2B software product ownership, commercial judgment, strong communication, technical fluency, hands-on AI use, and the ability to influence teams without direct authority.

Own a product area end to end by understanding customer problems, writing precise specifications, and driving execution with engineering and design. Develop mortgage industry expertise, work closely with customers, and shape practical AI applications for a regulated industry. Contribute to product strategy, team culture, and company growth while navigating complex problems with curiosity, persistence, and strong communication.

Own Wealthsimple’s Connectivity Platform strategy across brokerage and bank linking and the Public API. Lead product vision, roadmap, client experiences, reliability, connector routing, vendor relationships, authentication, consent, permissions, partner integrations, and external financial data access. Balance conversion, fraud, risk, compliance, and operational needs while developing scalable platform capabilities and advancing open banking.

Own product strategy and backlog modernization for the VA Loan Guaranty technology portfolio. Translate policy and stakeholder needs into prioritized roadmaps, precise user stories, acceptance criteria, and executable plans. Coordinate releases, UAT, analytics, legacy decommissioning, and configuration-versus-customization decisions across VA, lenders, servicers, architecture, and engineering. Apply AI tools to policy analysis, requirements drafting, and feedback synthesis while respecting federal security and privacy boundaries.

Associate Product Manager in a two-year Disney development program supporting product strategy, research, requirements, roadmap planning, data analysis, and feature launches. The role involves collaborating with product, design, engineering, and leadership teams while gaining mentorship and experience across rotating product domains. Candidates should demonstrate analytical, communication, problem-solving, collaboration, and adaptability skills, with a recent or upcoming technical degree.

Own Keycard’s end-to-end customer evaluation journey and developer experience across SDKs, CLI, console, documentation, and templates. Define evaluation milestones and metrics, instrument onboarding, reduce time to first credential exchange, and convert field-engineering processes into self-guided product experiences. Partner with engineering, DevRel, marketing, sales, and customers to improve adoption, run experiments, and incorporate evaluator feedback into the roadmap.

Own Flodesk’s AI product behavior and quality systems across prompt creation, agentic editing, and future marketing workflows. Develop and version prompts, define context and acceptance criteria, build evaluation datasets and rubrics, monitor quality, review traces, diagnose failures, and establish release gates. Translate research, analytics, support feedback, and production issues into priorities and experiments while partnering with engineering, design, marketing, copy, and product teams.

Leads and mentors Product Managers and Product Analysts across GRC products, setting product vision, strategy, and roadmap priorities. Oversees customer research, competitive analysis, AI adoption throughout the SDLC, experimentation, KPI measurement, and cross-functional product delivery. The role advocates for customers, ensures alignment across roadmaps, promotes innovation, and manages team development and performance evaluations.

Own product areas for KIRA’s AI stockbroking and financial services applications. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, use research and feedback to guide iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Own Prendio’s data product strategy from discovery through commercialization. Define valuable data assets, build the roadmap, validate customer needs, develop packaging and pricing, and launch revenue-generating products. Partner closely with engineering, analysts, data teams, sales, and marketing; prototype concepts independently; manage delivery; and address privacy, contractual, regulatory, and data-rights constraints. The role initially focuses on biotech customers and may expand to supplier-side products.

Own the strategy, roadmap, business performance, and value delivery for WebCenter PLMS, an enterprise SaaS product serving regulated Life Sciences customers. Translate customer and regulatory needs into prioritized requirements, initiatives, and product investments. Lead discovery, business cases, launches, adoption, pricing, positioning, partnerships, and cross-functional alignment with Product, R&D, Sales, Marketing, and regional teams. The role is remote within the US Eastern time zone, with approximately 10% travel and an onsite immersion program.

Own product areas for an AI-powered neobank across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to drive continuous product improvements.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use data, research, feedback, experiments, and production issues to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial workflows; analyze feedback and performance; and continuously iterate while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas within BJAK’s AI Stockbroking and broader financial services portfolio. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate based on data, research, feedback, and production issues. Balance speed, user experience, business impact, compliance, and operational complexity.