Top Remote Product Manager Jobs

Owns the end-to-end product lifecycle for healthcare and revenue cycle management workflows, from discovery through launch and iteration. Defines requirements, prioritizes roadmaps, partners with design and engineering, conducts stakeholder discovery, and measures product performance. The role focuses on building AI-enabled capabilities, improving user experience, and translating complex healthcare workflows into scalable products.

Lead the vision, strategy, and growth of Engine Spaces, a platform for discovering, booking, and managing meeting and event venues. Own the customer experience from search through post-booking, improve conversion and engagement, drive AI-powered automation, and align Engineering, Design, Sales, and RevOps. Define KPIs covering conversion, engagement, supply utilization, and revenue while delivering high-impact marketplace and booking features.

Leads strategic customer adoption engagements for ServiceNow’s AI Platform and Now Platform capabilities. Manages complex cross-functional programs, project governance, implementation planning, risk mitigation, stakeholder communication, customer value propositions, and successful rollouts. Partners with product teams, customers, field teams, and external partners to drive Generative AI adoption, resolve delivery gaps, mentor team members, and ensure knowledge transfer and engagement completion.

Owns the vision, roadmap, requirements, and customer outcomes for conversational AI features. The role guides AI experience strategy, prioritizes feature gaps, translates customer feedback into product improvements, creates PRDs and success metrics, and coordinates engineering, design, and cross-functional teams. Responsibilities include AI evaluation, telemetry, quality and performance requirements, usability research, strategic customer pilots, go-lives, escalations, and end-to-end delivery of conversational AI capabilities.

Own the product strategy and roadmap for SEO and AI visibility across thousands of real estate websites. Lead technical SEO foundations, structured data, performance, experimentation, migrations, measurement, and AI citation visibility. Partner with engineering and product teams to establish scalable defaults, safeguards, acceptance criteria, and reporting that improve organic discovery, client conversions, and platform-wide search quality.

Own Fieldguide’s internal audit product strategy and roadmap from market entry through execution. Build enterprise-grade AI agents to improve efficiency and quality across audit planning, risk assessment, execution, and reporting. Partner with sales, marketing, and customer success to gather feedback and drive adoption. Engage directly with Chief Audit Executives and internal audit leaders, translating regulated audit workflows into product requirements. Requires deep internal audit, SOX, risk, or compliance workflow experience and strong fluency in LLM and agent architecture.

Own the hardware and firmware product strategy for Motive’s connected equipment-monitoring devices. Lead hardware NPI from concept through mass production, manage firmware roadmaps and OTA releases, improve installed-base reliability, battery life, connectivity, and installation performance, and direct device partnerships. Partner cross-functionally with engineering, manufacturing, supply chain, quality, cloud, mobile, and go-to-market teams while translating customer needs into technical requirements and product decisions.

Own the roadmap and end-to-end seller experience for quoting, approvals, and opportunity workflows across Salesforce and CPQ. Discover high-impact problems with Sales, Deal Desk, Finance, and Engineering; build prototypes, dashboards, internal tools, and AI-assisted workflows; measure adoption and business impact; and iterate solutions for scale. The role requires hands-on product development, strong stakeholder management, and expertise in go-to-market systems.

Own the strategy, roadmap, goals, and metrics for clinical AI products. Lead cross-functional teams of engineers, data scientists, and designers through Agile product development, from opportunity identification and requirements gathering through launch and optimization. Develop user stories and detailed specifications, analyze market and user feedback, prioritize initiatives, and build alignment across stakeholders to deliver intuitive web and mobile experiences.

Owns the end-to-end lifecycle of enterprise data warehouse and business intelligence products, including vision, strategy, roadmaps, backlogs, requirements, and launches. Collaborates with engineering, architecture, vendors, and business stakeholders to design solutions, conduct data analysis, manage testing and incidents, and ensure compliance. Leads grooming sessions, demos, documentation, governance, vendor performance reporting, and client engagement while mentoring Product Specialists.

Own the strategic vision and roadmap for Coursera’s AI-driven search experience. Lead conversational search, personalization, semantic and multilingual search, ranking, and discovery improvements. Partner with engineering, design, research, data science, ML, marketing, and partnerships teams to deliver scalable platform capabilities. Use experimentation, market analysis, KPIs, and customer insights to improve conversion, merchandising, learner experience, and revenue.

Lead the vision, strategy, and development of enterprise search, RAG, question-answering, and conversational AI capabilities. Own product outcomes, executive alignment, customer research, adoption, metrics, and cross-platform integration. Partner with engineering, ML research, UX, and design teams to deliver scalable search experiences, while managing and mentoring a team of four or more Product Managers.

Own the vision, roadmap, prioritization, and delivery of NinjaOne’s core endpoint management capabilities, including automations, policies, agents, configurations, and dashboards. Collaborate with engineering, design, support, customers, and MSPs to define requirements, workflows, and product improvements. Use customer feedback and usage data to guide decisions, ensure platform cohesion, and deliver scalable solutions for IT teams managing endpoints.

Own product vision, roadmap, prioritization, and delivery for endpoint management and security capabilities. Define features and workflows that help IT teams and MSPs identify, prioritize, and remediate security risks across endpoint fleets. Collaborate with engineering, design, customers, and other stakeholders to translate market insights into scalable product improvements, write requirements, and iterate based on feedback and usage data.

Leads product management for Capital One’s Anti-Money Laundering risk platform. Responsibilities include launching regulatory-compliance features, partnering with data and technology teams, using AI tools for product discovery and delivery, developing the product roadmap, and driving a multi-year enterprise risk management transformation. The role requires cross-functional leadership, customer-focused product development, business and technology strategy, integrated problem-solving, and risk mitigation.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including its Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and metrics, and collaborate across engineering, security, IAM, billing, design, marketing, and partnerships. Lead platform adoption for human and AI-agent developers while representing MongoDB externally and driving ecosystem growth.

Own the vision, roadmap, and operations for Motive’s merchant partnership and shop network across fuel, maintenance, and fleet spending. Develop technical partner relationships, expand payment and settlement integrations, unlock bulk fuel partnerships, and drive international adoption. Lead executive-level partnerships, business reviews, metrics, product documentation, and cross-functional alignment across Product, Engineering, Design, and GTM to increase in-network transaction share and strategic partner transaction volume.

Own the member engagement product roadmap across email, SMS, and AI-powered voice outreach. Configure campaigns, segmentation, triggers, sequencing, and A/B tests in Customer.io; analyze engagement data and conversion metrics; drive experimentation; and partner with engineering, marketing, clients, sales, and operations to improve outreach systems, content, timing, and member outcomes.

Own the strategy, business case, experimentation roadmap, and launch of Liftoff’s zero-to-one e-commerce advertising platform. Lead product development from beta toward general availability, partnering with engineering, machine learning, legal, finance, sales, and customers. Responsibilities include optimizing funnel performance, defining traffic quality standards, managing identity and attribution architecture, overseeing e-commerce integrations, guiding go-to-market strategy, and making data-driven scaling, pivot, or shutdown decisions.

Own business discovery, use-case development, rapid prototyping, product validation, adoption, enablement, feedback loops, and success measurement for enterprise data and AI products. Translate ambiguous business needs into measurable product opportunities, communicate technical concepts clearly, and lead cross-functional collaboration across Product, Engineering, Data, AI, and business teams. Use AI-assisted tools to accelerate experimentation, create prototypes, and drive adoption and business value.

The Product Manager, Enterprise Data and AI identifies business problems, develops product opportunities, prototypes AI and data solutions, and drives validation, adoption, and measurable business value. The role partners across business, Product, Engineering, Data, and AI teams; creates product positioning and enablement materials; establishes customer feedback loops; tracks adoption and outcomes; and translates complex technical capabilities into actionable guidance. The position requires strong product judgment, data fluency, stakeholder leadership, technical communication, and hands-on use of AI-assisted development and prototyping tools.

Own the Social Intelligence product roadmap from customer discovery through delivery, launch, measurement, and go-to-market enablement. Translate security practitioner needs into product requirements, prioritize initiatives, partner with Engineering and Design, prototype with AI tools, analyze outcomes, and train customer-facing teams. The role requires operational experience in security, intelligence, threat assessment, executive protection, law enforcement, military, or comparable fields, plus hands-on open-source threat intelligence expertise.

Owns strategy, vision, discovery, roadmap, backlog, requirements, metrics, and launch activities for SMB payments products. Leads customer onboarding improvements across web and mobile channels, partners with merchants and platform providers, and collaborates with engineering, design, marketing, risk, sales, and leadership. Uses customer insights and data to deliver scalable, reliable digital payment experiences while managing multiple initiatives and aligning stakeholders.

Leads product strategy, roadmap, and continuous improvement for PSA Vault and warehouse management systems. Oversees operational workflows including receiving, storage, inventory, fulfillment, and shipping while improving integrations with grading, marketplace, and logistics systems. Partners with Engineering, Operations, and business stakeholders to define requirements, prioritize initiatives, measure outcomes, and enhance customer experiences. The role also identifies AI and automation opportunities and coordinates cross-functional delivery across the Collectors ecosystem.

Leads end-to-end technical product lifecycle management for ServiceNow and workflow-enabled capabilities. Translates business needs into technical requirements, user stories, acceptance criteria, and implementation guidance. Owns product backlog priorities, defines workflow and automation experiences, and partners with engineering, architecture, QA, operations, and business stakeholders. Drives requirements discovery, risk management, stakeholder alignment, testing, and delivery while applying AI and automation to improve enterprise workflows and healthcare outcomes.