Top Entry Level Product Manager Jobs in San Francisco Bay Area, CA

Own product areas end-to-end across Engineering, Operations, and Research. Identify high-impact problems, understand workflows, define product direction and technical requirements, prioritize using data and feedback, partner with engineers through launch, and improve scalability and workflows as the company grows.

Serve as the bridge between customers and an evolving AI product. Discover customer workflows and automation opportunities, validate problems, design solutions, manage pilot programs, guide deals toward closure, train and onboard customers, and communicate detailed business and technical requirements to Product, Engineering, and Design teams.

Own the vision, roadmap, revenue, and outcomes for Docker’s core Sandbox platform. Partner with developers, customers, designers, engineers, and ecosystem partners to define and deliver valuable, usable products. Engage users, prioritize features, guide iterative development, analyze qualitative and quantitative data, and scale services. The role requires technical knowledge of developer tools, AI agents, software supply chains, security, and sandboxed environments, along with strong communication and cross-functional leadership.

Own product discovery and commercial outcomes across PostHog products. Analyze growth, retention, churn, revenue, and usage data; conduct user interviews; research competitors; identify pricing, packaging, and product opportunities; provide product feedback; and coach product engineers. The role emphasizes autonomy, product sense, SQL-based analysis, customer research, and commercial judgment rather than backlog management, project delivery, or feature development.

Own Suite’s product direction end to end, with a strong focus on AI-powered features for media and entertainment workflows. Engage daily with post-production teams, studios, and creative agencies; translate customer feedback into prioritized product problems; prototype concepts with AI tools; collaborate closely with engineering; define product metrics; and partner with sales, marketing, and support to launch and improve products.

Own the Immortals.com storefront roadmap, conversion optimization, experimentation, paid-traffic landing experiences, and migration to a headless Shopify platform. Translate customer and performance insights into product requirements, coordinate engineering and cross-functional delivery, manage testing and launch readiness, and monitor post-launch results. Success includes improved conversion, revenue per session, funnel completion, shopping usability, and reliable analytics across the customer journey.

Lead expansion of Humana’s Next Best Action platform across business channels and customer touchpoints. Translate channel needs into scalable product capabilities, requirements, integrations, onboarding plans, and implementation strategies. Partner with business, architecture, engineering, data, and product teams to identify capability gaps, prioritize enhancements, manage dependencies and risks, coordinate testing and readiness, and support successful launches. Establish reusable onboarding frameworks and improve governance and operating models across the enterprise.

Own the HUD data marketplace product lifecycle, improving vendor onboarding, submission workflows, quality feedback, and marketplace management. Enable research teams to discover, evaluate, and access AI training data and RL environments. Partner with engineering, research, GTM, and operations to simplify complex workflows, define marketplace health metrics, and prioritize product improvements using user feedback and quantitative data.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Own strategic product relationships with major accounts, partnering with senior customer product leaders to identify opportunities and guide initiatives from discovery through launch. Coordinate Sales, Customer Success, Implementation, Engineering, and Product teams; test ideas, turn feedback into requirements, maximize integration value, and help establish the forward-deployed product model.

Own Infilla’s Forum and Calculator products, improving search quality, daily adoption, configurability, and onboarding across jurisdictions. The Product Manager will conduct research, use analytics, prioritize features, write specifications, collaborate with design and engineering, ship AI-enabled capabilities, train users, and drive adoption. This role independently manages multiple products, works with government stakeholders, and represents the company in customer conversations.

Define and own bounded product features for Legion, Swarm Aero’s command-and-control platform for autonomous aircraft networks. Translate operator needs, customer feedback, technical constraints, and product direction into detailed specifications, workflows, requirements, and decisions. Collaborate with designers, engineers, operators, government customers, and contractors through design, development, feedback, validation, demonstrations, and delivery. Maintain product clarity, resolve ambiguity, document decisions, and track commitments while supporting the Head of Product.

Own the product roadmap for a technology-focused business line, using internal workflows to test, refine, and scale AI products. Develop ecosystem strategy with technology partners and translate complex workflows, integrations, and permissions into product decisions. Collaborate with engineers, customers, researchers, and cross-functional teams to build enterprise products for knowledge workers and identify reusable capabilities across the broader product portfolio.

Lead Mesh’s exploration of agentic commerce and determine how AI agents can buy, sell, and move money. Research protocols, standards, model capabilities, and startups; develop hypotheses; build working agent prototypes by writing code and integrating APIs; run experiments on live payment rails; recruit customers; participate in industry communities; and present evidence-backed recommendations for future product investments.

Leads Data Security product growth across the AMS region by driving sales strategy, supporting technical and commercial opportunities, enabling field teams, and translating customer insights into product strategy and roadmap improvements. The role covers competitive analysis, pricing, pipeline and churn analysis, customer escalations, deployment support, and data-driven business updates. It focuses on AI-powered data security products, including DLP, DSPM, and AI security solutions.

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.

Own end-to-end deployment and optimization of AI voice agents for mortgage lender customers. Responsibilities include scoping, building, launching, and iterating on production agents; tailoring conversation flows, compliance requirements, and human handoffs; managing customer relationships and account health; defining success plans; and feeding customer insights into the product roadmap and operating playbooks.

Own Alpaca’s market data product strategy and revenue growth. Define sourcing, licensing, entitlements, pricing, packaging, build-versus-buy decisions, API capabilities, developer experience, and partner priorities. Lead exchange and vendor negotiations, assess competitive positioning, and deliver real-time, delayed, historical, and derived market data products across asset classes and geographies.

Own Epoch AI’s website product, including page and feature goals, prioritization, information architecture, standards, QA, and launch decisions. Partner with researchers, designers, developers, and communications staff to ship clear, usable web experiences. Use analytics, interviews, and feedback to guide the roadmap, communicate decisions, review designs, resolve implementation questions, and maintain site coherence across research publications and data products.

Support product development from brainstorming through launch by understanding user needs, gathering requirements, defining feature functionality and user flows, collaborating with designers and engineers, and delivering high-quality educational products. The role emphasizes analytical problem-solving, clear communication, cross-functional collaboration, product strategy, and design thinking while developing product management skills through mentorship and exposure to multiple product areas.

Own the post-order product roadmap, improving communications, ticket delivery, AI-powered self-service, agent-assist tooling, customer satisfaction, contact rate, and cost to serve. Partner with Fan Operations, Engineering, Data, Trust & Safety, and Supply to deliver measurable outcomes. Use SQL and analytics to identify customer friction and guide product improvements across marketplace support and ticket fulfillment experiences.

Own the product direction, prioritization, and delivery of Leap’s data platform and integrations. Translate cross-functional needs into scoped projects, requirements, milestones, and acceptance criteria. Guide ingestion, data quality, provenance, reliability, and client integrations while partnering with engineering, analytics, implementation, security, and external technical teams. Investigate technical issues using SQL and data tooling, improve delivery processes, and establish scalable capabilities for onboarding clients and data sources.

Own product operations for EliseAI’s housing product line, partnering with Product, Engineering, clients, Legal, and other stakeholders. Responsibilities include translating requirements into workflows and specifications, conducting client discovery, coordinating launch readiness, managing enterprise implementations, resolving post-launch issues, synthesizing customer feedback and product data, scaling monitoring and support processes, and supporting compliance initiatives.

Own the strategy and roadmap for Xero’s merchant and transaction payments-risk capabilities. Build scalable systems for KYB/KYC, underwriting, fraud detection, monitoring, disputes, chargebacks, reserves, holds, payout risk, and loss management. Partner with Engineering, Data, Risk, Compliance, and Operations to translate policy into product controls, decisioning workflows, and customer experiences. Use risk and loss data to balance fraud prevention, financial exposure, conversion, friction, and operating costs across processors, payment methods, and markets.

Own the deployment strategy and roadmap for moving trained and fine-tuned AI models into reliable production use. Define serving workflows, autoscaling, monitoring, rollback, incident response, SLAs, pricing inputs, and API/SDK experiences. Partner with infrastructure, research, engineering, GTM, and users to prioritize improvements, resolve dependencies, guide launches, analyze performance and cost tradeoffs, and build a scalable deployment platform.