Top Remote Product Manager Jobs in Washington, DC

Define and drive Coursera's multi-quarter mobile strategy and vision. Lead end-to-end product lifecycle for native iOS/Android apps, partner with engineering, design, data science, and marketing, use experimentation and research to prioritize work, influence cross-org investment decisions, and raise product craft to improve discovery, engagement, retention, and measurable business outcomes for millions of learners.

Lead the cross-functional dashboard squad to own product strategy, customer discovery, analytics, experimentation, UX, and end-to-end delivery to improve activation, onboarding, and measurable business metrics. Run customer interviews, use PostHog and session recordings to find friction, define experiments, write clear requirements, coordinate launches, and measure outcomes.

Lead product strategy for MarTech ecosystem, managing user acquisition, cross-sell, and retention across web and app through data-driven insights and experimentation.

The Senior Product Manager will own the product strategy for Build Engineering Reviews, collaborating with engineering and design teams to enhance user workflows and decision-making processes for mechanical engineering.

Lead native iOS and Android product strategy and roadmap for a high-volume fintech app. Translate complex web trading, payments, and social features into mobile-optimized journeys, drive A/B tests to improve onboarding and retention, ensure performance and stability at scale, and align cross-functional teams to ship through CI/CD and feature-flag workflows using mobile analytics and SQL.

Own vision and roadmap for shared platform services (policy, workflow/approval, inbox, notifications). Collaborate with customers and internal product teams to define requirements, drive API-first self-service design, deliver multi-tenant, auditable policy and orchestration capabilities, and measure adoption across a microservices, event-driven SaaS platform.

Lead product strategy and execution for logs within Elastic Observability. Evolve logs analytics and end-to-end log collection/ingest/management, integrate GenAI/agentic workflows, enable automated SLO/SLI tracking, intelligent alerting, and correlation of logs, metrics, and traces. Collaborate with Engineering, UX, Sales, and Marketing, drive go-to-market and feature adoption, and use user feedback and engagement metrics to prioritize product evolution.

Own the Appliance Platform within Device OS, defining roadmap and delivering lifecycle, fleet operations, configuration, infrastructure, and operator tooling to support scalable, reliable, and secure appliance deployment and management across a global fleet.

Lead the Cloud Networking Product team to enhance the connectivity of Confluent Cloud. Responsibilities include product lifecycle management, user analysis, and collaboration across teams to ensure successful product initiatives.

Own and drive core product features for large enterprise customers: onboarding, team/resource management, lifecycle automation, APIs at scale and IaC. Collaborate in triads with engineering and design, partner with Sales/Marketing/Customer Success, lead product discovery, advocate for users, prioritize with data, and shepherd features from prototype to GA while contributing to the product management community.

Lead platform product work across ingestion, querying, storage, data retrieval, and the internal design system. Partner with engineering, product, design, and go-to-market teams, prioritize scalable platform capabilities, drive product discovery to GA, and advocate for developer experience and customer outcomes in observability and tracing domains.

Lead product strategy and roadmap for mid-market CX and BPO solutions. Conduct customer discovery, prioritize omnichannel and AI investments, partner with Engineering, Design, Data Science and GTM to deliver features, drive launches and adoption, define success metrics, and influence executives using data-driven recommendations.

Lead product vision and roadmap for Tekion's Automotive CRM, translate dealer and partner needs into product requirements, define AI/LLM-enabled CRM capabilities, collaborate cross-functionally to deliver SaaS CRM features, create product artifacts, measure success metrics, and prioritize initiatives to drive adoption and strategic account success.

Lead product vision and roadmap for an AI-powered coaching platform, prioritizing coach- and member-facing features. Translate coaching methodology into product, run discovery and user research, partner with engineering and design, support coaching operations, engage HR buyers, and leverage AI tools to augment coaching while driving team processes and execution.

Lead product execution for retail platforms, integrations, and data foundations. Establish data governance, define integration patterns and data contracts, improve fulfillment/OMS capabilities, evaluate vendors, and enable analytics and AI-driven automation to increase operational efficiency.

Lead product strategy and execution for a product area: run discovery with customers, prioritize a backlog using insights and AI tools, work closely with engineering to deliver, and partner with sales, marketing, and customer teams to launch and drive adoption.

Lead product strategy and roadmaps for partner and platform integration products. Own business cases, requirements, and cross-functional delivery with Engineering, Product Owners, Customer Success, and Commercial teams. Drive go-to-market, partnerships, and product performance using healthcare data expertise (claims, EHR) and Agile practices.

Own product strategy and roadmap for Admin and ESPP within Certent Equity Management. Write detailed PRDs, define data models and calculation logic, ensure tax and regulatory compliance, design admin and audit features, and lead cross-functional collaboration with engineering, sales, brokers, compliance, and professional services. Engage customers and broker partners for discovery, demos, and support sales and implementation.

Lead ServiceTitan's Australian product roadmap, localize core platform for compliance and market fit, drive customer discovery with Australian contractors, coordinate with global engineering and GTM teams, measure region-specific metrics, and launch/iterate products to establish long-term retention and sales enablement.

Lead an AI-first product area end-to-end: define roadmap, engage customers, translate needs into initiatives, measure KPIs, prototype with AI, align cross-functional teams, mentor product staff, and drive adoption, retention, and revenue in a SaaS environment.

Lead product for Fetch's next-generation outcome-based ad platform. Own advertiser transaction systems (quote-to-cash, billing, invoicing, reconciliation, payment, fraud prevention), integrations with Salesforce and NetSuite, advertiser reporting and APIs, customer notifications, and partner with Engineering, Finance, Sales, and Data to design scalable, accurate workflows.

Lead strategy and execution for the AI-powered Savings product, improving user financial health through cross-functional collaboration and product development.

Lead the commerce product experience for Boulevard, owning end-to-end transaction flows and scaling payments and reporting for multi-location and franchise customers. Partner closely with engineering and design, use data and customer insight to measure outcomes, reduce friction, and prioritize impactful work. Influence cross-functional teams, drive decision-making in ambiguous contexts, and incorporate AI tools to accelerate discovery and execution.

Own the data pipeline product roadmap and execute end-to-end delivery for ingestion, transformation, validation, auditability, and AI consumption. Write PRDs and technical specs, work hands-on with data (SQL), define data quality and lineage standards, partner with engineering, actuarial, and implementation teams, and prioritize platform capabilities to make pipelines scalable, configurable, and self-serve for non-engineers.

Lead product direction and execution for a payments area at scale. Improve onboarding, checkout, refunds, payouts, reporting, and reliability. Use data and merchant feedback to prioritize, work closely with engineering, design, and partners (Stripe, PayPal), triage incidents, and communicate progress and tradeoffs to stakeholders.