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

Own product strategy and outcomes for AI-powered physical-operations solutions. Conduct customer discovery, identify high-impact problems, prototype and ship AI-enabled products, collaborate across hardware, software, and AI teams, and drive measurable customer and revenue impact.

Lead product development for AI-powered physical operations solutions. Responsibilities include identifying customer problems, prototyping and shipping AI-enabled products, collaborating across hardware, software, and AI teams, and owning customer impact and revenue outcomes. The role is remote within the United States and requires strong product judgment, commercial instincts, customer focus, ownership, and comfort adapting to rapidly evolving AI capabilities.

Own the Secrets Management product strategy and roadmap, partnering with founders, engineering, sales, marketing, and customers. Define product priorities, metrics, analytics, pricing, and packaging; translate customer insights into improvements; and support product launches and go-to-market messaging. The role requires strong technical judgment, familiarity with developer infrastructure, independent execution, and hands-on engagement with technical and product challenges.

Own a product module across strategy, discovery, requirements, roadmap, launch, and lifecycle measurement. Partner with users, clients, designers, engineers, marketing, operations, and platform success to define solutions and deliver intuitive experiences. Conduct feedback sessions, validate problems, communicate roadmaps, identify AI opportunities, and drive measurable improvements in user behavior, business outcomes, and client experience.

Own the direction and roadmap for Benchling’s Schemas platform, including schema types, computed fields, fieldsets, constraints, static properties, and data versioning. Develop customer personas and jobs-to-be-done, translate customer needs into product requirements, and partner with Engineering, Design, Customer Experience, Sales, Marketing, and other product teams. Champion structured data as the foundation for AI capabilities while balancing platform stability with incremental delivery.

Participate in paid, recorded conversations with product professionals to discuss discovery, strategy, prioritization, roadmaps, launches, metrics, customer needs, business goals, and technical tradeoffs. Defend and revise recommendations, challenge perspectives, and explain reasoning clearly in unscripted discussions that support AI training and evaluation.

Research market and customer needs, define product vision and roadmap, oversee design and engineering development, test quality, create marketing plans, manage budgets and teams, communicate performance, analyze feedback, and anticipate demand, risks, and opportunities.

Own product discovery and delivery for a healthcare software offering. Interview customers, identify workflow pain points, prototype solutions, translate insights into scalable product requirements, partner closely with engineers through release, and measure outcomes such as adoption, usage, NPS, and time saved. The role requires prior product management and hands-on engineering experience, strong B2B software instincts, customer focus, and the ability to work hybrid in San Francisco.

Lead the full product lifecycle for verifiable computing solutions focused on AI and data integrity. Define product vision, roadmap, go-to-market strategy, branding, and positioning; lead cross-functional teams; develop strategic partnerships with technology and data platform companies; oversee product content; and monitor trends in AI governance, cybersecurity, and computational integrity.

Own customer activation and value realization, understand customer workflows and business needs, configure solutions, identify product gaps, shape the roadmap with customer evidence, collaborate with design and engineering, and create repeatable workflows and playbooks. The role bridges product management, solutions consulting, customer success, and go-to-market operations to improve both customer outcomes and the product.

Own the vision, strategy, and roadmap for Vercel’s Dashboard, evolving it into a personalized, agent-powered control plane. Define agent interactions, proactive insights, information architecture, and cross-product design patterns. Partner with engineering and product teams to optimize performance and consistency, while running experiments and analyzing onboarding, adoption, and engagement metrics. The role requires experience building developer-facing dashboard or control-plane products, with strong product design, analytics, and AI perspectives.

Own the strategy and roadmap for learning outcomes and proficiency. Research learner and B2B customer needs, evaluate progress signals, and ship assessment, feedback, and personalization improvements. Define standards for accuracy, trust, transparency, and actionability while partnering with Engineering, Analytics, Learning, Design, and B2B teams. Use user research and product data to make focused decisions and measure product impact.

Own product outcomes for an AI-native cloud infrastructure platform. Conduct customer discovery, frame problems, prioritize opportunities, prototype solutions, analyze product and business data, and collaborate with Design, Engineering, Sales, Customer Success, and Marketing. The role requires enterprise B2B product judgment, technical fluency across cloud infrastructure and FinOps, strong commercial awareness, AI-assisted workflows, outcome measurement, and end-to-end ownership from strategy through iteration.

Own the post-purchase retention product, subscriber experience, subscription platforms, and roadmap. Improve onboarding, engagement, loyalty, cancellation prevention, renewals, and lifetime value through customer journey optimization, cohort analysis, A/B testing, and data-driven experimentation. Partner with growth, data, design, and development teams while maintaining data health, QA standards, and scalable operating systems. Use AI tools and emerging technologies to automate work and analyze customer data.

Hands-on Product Manager responsible for defining priorities, shaping roadmaps, translating infrastructure and AI opportunities into requirements, and driving technical products from concept through launch. The role partners closely with engineering and leadership, balances feasibility with business impact, measures product performance, and guides continuous improvement across web data infrastructure, data pipelines, and AI-related products.

Own strategy, roadmap, and execution for AI products serving financial-services workflows. Conduct customer discovery, prototype and ship experiences, define quality evaluations, address institutional integration and trust requirements, measure adoption and business impact, and collaborate with Engineering, Design, Research, Legal, Security, Partnerships, and go-to-market teams.

Own product vision, strategy, roadmap, and delivery for tooling and pipelines supporting UDS application packaging and core software packages. Balance customer, business, and technical priorities; align engineering, growth, and delivery teams; engage customers; support open-source communities; and guide product pricing, segmentation, and value propositions. The role requires technical fluency in DevSecOps, Kubernetes, cloud-native software, Agile delivery, and open-source monetization.

Own the growth and performance of OnePay’s credit card across acquisition, activation, engagement, rewards, and economics. Partner with engineering, analytics, and external financial partners to define priorities, ship product improvements, monitor results, and manage the roadmap. Success includes measurable improvements in approval rates, activation, spending, rewards economics, and credit performance.

Own the user experience and growth of Plasmidsaurus's non-biology web application. Responsibilities include interviewing researchers, translating customer feedback into product roadmaps, improving onboarding, collaboration, payments, logistics tracking, account settings, email, internationalization, workspaces, and sharing. The role also focuses on analytics, identifying workflow drop-offs, running experiments, prototyping, and partnering closely with engineering teams to deliver customer-focused improvements.

Own the product roadmap, write feature specifications, define KPIs, and coordinate delivery across engineering, design, and growth. Prioritize initiatives based on retention, revenue, and engagement impact; manage sprint boards and timelines; coordinate testing and quality validation; and monitor feature performance through analytics dashboards and user feedback. The role requires strong SaaS or consumer product knowledge, analytical communication, and experience with product analytics tools.

Supports product discovery, strategy, roadmap development, requirements definition, backlog management, delivery, experimentation, and continuous improvement. Partners with Engineering, Design, Data, Operations, Marketing, Legal, Security, and business stakeholders to deliver measurable customer and business outcomes. Conducts research, evaluates product performance, manages dependencies, supports adoption, and communicates decisions, risks, and results across teams.

Own the Advisory platform roadmap, conduct customer discovery, prioritize and manage the backlog, write user stories, and coordinate engineering, design, sales, and client success teams. Lead implementations, launches, product decisions, and success measurement through OKRs, KPIs, adoption data, and feedback. Monitor competitors and PSLF policy changes while supporting sales, renewals, and continuous product improvement.

Own Accord’s product roadmap, prioritize customer and business needs, coordinate engineering delivery, manage the Customer Success feedback loop, and track feature adoption after launch. The role also includes release coordination with product marketing, customer research, AI evaluations, data analysis, and cost modeling. As the company’s first Product Manager, this person will establish product-management practices and may grow into a more strategic leadership role.

Supports product management through market, competitive, customer, sales, pricing, and product-performance research and analysis. Maintains competitive intelligence, pricing files, reports, dashboards, and documentation while assisting with forecasting, portfolio reviews, product launches, lifecycle activities, and sales enablement. Collaborates with Sales, Marketing, Finance, Operations, regional teams, and global stakeholders to provide accurate insights and coordination for product and business decisions.

Own the evaluation strategy for Hercules’ AI coding agent, including offline and online evals. Use large-scale user, repository, and chat data to create evaluations that improve cost, speed, and accuracy while protecting customer privacy. Partner with engineering on implementation and apply expertise in software fundamentals, reward modeling, product and design sense, AI context and harness engineering, and frontier AI coding workflows.