Top Remote Entry Level Product Manager Jobs

Leads Uber’s remote assistance product for autonomous vehicle operations. Owns strategy, roadmap, operator tooling, escalation workflows, partner integrations, metrics, safety guardrails, and launch readiness across markets and vehicle platforms. Collaborates with engineering, autonomy, operations, safety, legal, policy, and external partners to build reliable human-in-the-loop systems, improve intervention quality, and scale commercial AV deployments.

Own the lifecycle, quality, delivery, pricing, packaging, and commercialization of vertical data products. Partner with customers, sales, analysts, engineering, legal, pricing, and marketing to build data-driven workflows, prioritize investments, execute strategic deals, and increase revenue. Serve as the subject matter expert for specialized datasets, ensuring strong coverage, accuracy, entity resolution, platform integration, and customer adoption.

Owns go-to-market product management for marketing operations at a fully remote global employment platform. The role involves setting strategy, leading distributed teams, managing cross-functional partnerships, solving operational problems, and applying automation and AI capabilities. The position reports to the CEO and includes leadership responsibility for three Directors and one Senior Manager.

Manage and expand Sumsub’s North American non-documentary identity and address verification products, including mobile driver’s licenses, identity wallets, data sources, and open banking. Coordinate releases, partner integrations, product cost reduction, and redundancy strategies. Collaborate with Sales, Customer Success, Legal, Data Protection, Engineering, and Product Marketing to address regulatory needs, grow adoption, increase revenue, and improve customer retention.

Own the BOXED.GG product strategy, roadmap, customer journey, economy, inventory pipeline, and strategic initiatives. Drive business and customer outcomes through data-driven prioritization, analytics, experimentation, customer research, and cross-functional collaboration. The role requires defending product decisions, partnering closely with senior engineering and design teams, improving activation, retention, monetization, and referrals, and solving problems across marketing, growth, fulfillment, and support.

Early-career Product Manager in analytics/strategy focusing on behavioral data analysis, A/B testing, funnel diagnostics, and recommendation ranking optimization. Produce strategy docs and PRDs, collaborate with algorithm teams, develop labels/taxonomies, and deliver actionable insights from experiments and data extraction.

Own the API integrations product strategy and roadmap, including requirements, user stories, backlog management, sprint planning, technical documentation, partner coordination, performance monitoring, and go-to-market execution. Collaborate with engineering, design, customer success, and external partners to deliver high-quality integration solutions. Conduct market research, identify product improvements, resolve issues, validate releases, and enable internal teams through training and documentation.

As the Founding Product Manager at Freeflow, you will define AI-driven products for the insurance industry, focusing on claims auditing solutions, enhance efficiency and collaborate closely with teams and users to translate pain points into deliverables.

Manage product implementation and client-facing technical delivery of AI-powered safety and risk assessment tools. Collaborate with clients, develop actionable safety insights, support deployments, translate customer needs into technical solutions, and manage multiple projects while working cross-functionally to improve workplace safety.

Own the end-to-end Service Experience product strategy and roadmap for a two-sided home-services marketplace. Lead AI-powered customer and Pro support, evaluation systems, trust and conflict-resolution policies, and AI-driven experience innovation. Own Contribution LTV and brand-promise metrics, prototype with LLMs, analyze transcripts and data, and influence senior leaders and cross-functional peers without direct reports. Success includes scaling high-quality AI resolution, improving profitability and service outcomes, and delivering an AI experience proof of concept.

Own product direction for an enterprise AI platform, including requirements, roadmap, acceptance criteria, scope, and stage-gate processes. Translate customer and stakeholder needs into prioritized, testable requirements; manage trade-offs among value, velocity, leverage, and technical risk; and partner with engineering on delivery decisions. Recruit design partners, validate customer needs, document decisions, communicate with executives and clients, and maintain disciplined delivery across multiple product teams.

Owns the end-to-end product strategy and execution for AI-powered systems. Defines requirements, evaluation frameworks, quality standards, and system behavior while balancing quality, latency, cost, reliability, safety, and user experience. Partners closely with ML, backend, and client engineering teams to identify failure modes, improve model performance, prioritize roadmaps, and deliver predictable, useful, trusted AI experiences.