Top Remote Product Manager Jobs in Raleigh, NC

Own the host side of Peerspace’s two-sided marketplace, including onboarding, activation, listing quality, messaging, availability, and scheduling tools. Research host needs, translate insights into product solutions, define and improve business metrics, align cross-functional stakeholders, influence executives, and drive product execution from strategy through measurable outcomes.

Lead product strategy, define vision and roadmaps, gather and prioritize requirements, translate objectives into specs and user stories, manage lifecycles from discovery to launch, collaborate with design and engineering, set KPIs, analyze market and customer feedback, and drive data-informed product improvements.

Own the strategy, roadmap, backlog, and KPIs for Salesforce-centered Sales and Marketing platforms. Translate commercial needs into prioritized requirements, manage CRM and marketing automation integrations, lead planning and release governance, and guide build-versus-buy decisions. Partner with engineering, architecture, and stakeholders to improve adoption, data quality, funnel efficiency, and delivery predictability. Evaluate new tools, communicate tradeoffs to leadership, and drive measurable business outcomes across the commercial technology portfolio.

Leads the discovery, development, launch, and scaling of AI-first product capabilities. Translates ambiguous customer problems into hypotheses, requirements, evaluation criteria, roadmaps, and measurable outcomes. Partners with engineering, UX, tax SMEs, go-to-market, and customer success to prototype and operationalize reliable, compliant AI solutions. Owns AI quality, monitoring, performance, feedback loops, responsible AI practices, and continuous improvement while influencing cross-functional stakeholders and mentoring junior product owners.

Lead strategic product and program initiatives for Azure Host and Azure Boost infrastructure. Define product direction, roadmaps, and priorities; coordinate engineering, architecture, and operations teams; evaluate hardware-software tradeoffs; use AI, telemetry, and analytics to guide decisions; engage customers; and deliver executive-ready communications. Own initiatives from concept and architecture through launch, deployment, and fleet-scale operations while improving customer experience, platform competitiveness, and operational efficiency.

Supports product strategy, roadmap development, lifecycle management, market research, customer feedback, requirements definition, cross-functional development, launch readiness, and ongoing product improvement for regulated healthcare software, devices, and services. Coordinates timelines, documentation, stakeholder communications, training, sales enablement, risk management, and performance monitoring while ensuring quality and regulatory alignment.

Own the strategy, roadmap, governance, and external productization of ComPsych’s Databricks-based data platform and API layer. Define data products, schemas, quality standards, documentation, access tiers, SLAs, and developer experiences. Partner with Data Engineering, Architecture, Sales, Legal, and Security to manage sensitive behavioral health and absence data, external data-sharing agreements, and commercial opportunities. Guide API versioning, onboarding, support, and data governance while balancing technical, compliance, and customer needs.

Own the strategy and roadmap for Dave’s financial data platform, including vendor integrations, data ingestion, normalization, storage, access, quality, and monitoring. Partner with Engineering and Data Science to create financial signals that improve underwriting and repayment prediction. Manage data partners, evaluate new sources, define platform KPIs, and connect data improvements to approval rates, losses, retention, and future credit products.

Own the zero-to-one strategy and execution for RevenueCat’s user acquisition products. Research mobile acquisition workflows, identify high-value opportunities, define and test product hypotheses, collaborate with engineering and cross-functional teams, and ship measurable products or experiments. Serve as the internal expert on mobile performance marketing, attribution, privacy, acquisition economics, and how monetization data can improve user growth.

Leads discovery, strategy, validation, development, launch, and commercialization of new patient-facing healthcare technology products. Conducts market research, customer discovery, segmentation, competitive analysis, and business-case development to identify growth opportunities. Partners with Engineering, Product, executives, customers, and commercial teams to shape roadmaps, guide investment decisions, and strengthen product-management practices.

Leads the full product lifecycle for data, sensors, and wearable technology products supporting clinical trials. Responsibilities include product strategy, roadmap ownership, requirements, R&D coordination, customer discovery, analytics productization, go-to-market planning, pricing, sales enablement, and commercial performance. The role will specifically own sensors and wearables and support the productization of Pure Signal Analytics while partnering across science, medical, operations, marketing, sales, and engineering teams.

Own technical product initiatives end-to-end, including discovery, specifications, prioritization, AI prompt and evaluation design, metrics, backlog management, delivery coordination, and launch readiness. Partner with Legal Strategy, Engineering, Design, Operations, and Marketing to ship software, analyze product performance, and continuously improve outcomes in a fast-moving startup environment.

Own a defined area of an AI-powered oncology platform, managing its backlog, specifications, release notes, documentation, analytics, and performance measures. Write user stories and acceptance criteria, coordinate backlog grooming and sprint planning, collaborate with engineering and clinical teams, gather user feedback, prioritize improvements using data, and validate product releases.

Own the AI Services product strategy, roadmap, and execution for agentic workflows, MCP tools, connectors, and AI quality infrastructure. Define agent behavior, evaluation frameworks, integrations, metrics, and risk controls while partnering closely with engineering, architecture, security, legal, and consuming product teams. Drive adoption across the portfolio, make technical trade-offs, communicate outcomes to leadership, and deliver reliable AI capabilities for enterprise finance and accounting users.

Lead growth initiatives for Quora’s core web and mobile products, owning acquisition, activation, and early retention. Partner with engineering, design, data science, and product operations to define objectives, build experiences, run experiments, analyze user insights, and identify strategic growth opportunities. The role requires influencing cross-functional teams, expanding reach to new demographics, and driving measurable user growth through qualitative and quantitative research.

Owns the Dragos Platform’s release architecture, packaging, documentation, communications, and delivery across on-premises, cloud-hosted, customer-hosted, and hybrid environments. Manages cloud vendor relationships, coordinates release mechanisms and schedules, develops reference architectures, and partners with Engineering, Product Marketing, Support, Customer Success, and customers to prioritize deployment capabilities and ensure reliable releases.

Lead the end-to-end development of agentic AI products for workforce management, from operational research and agent definition through prototyping, evaluation, enterprise deployment, and commercialization. Define human-in-the-loop controls, tools, escalation rules, specifications, and release criteria. Build prototypes, prompts, evaluation sets, and code contributions while diagnosing model and system failures. Partner with enterprise design customers, engineering, AI Lab, executives, and go-to-market teams to deliver reliable, compliant products.

Own the strategy and roadmap for enterprise identity and multi-user capabilities, including RBAC, organization management, SSO, provisioning, authentication, and account security. Lead cross-functional launches with engineering, security, legal, privacy, and customer experience teams. Define platform vision, address vulnerabilities, establish privileged-access safeguards, and translate complex identity requirements into intuitive experiences for business and consumer customers.

Lead the long-term strategy, roadmap, and cross-organizational execution for AI agent and skill authoring across Microsoft Copilot products. Define platform direction, lifecycle capabilities, governance, metrics, and investment priorities while aligning engineering, design, marketing, executives, and partners. Use customer research, telemetry, market intelligence, experimentation, and AI-assisted insights to drive adoption, reliability, responsible AI, and enterprise-scale outcomes.

Own product strategy and outcomes for financial services and data platforms. Lead payments, billing, refunds, financial aid, data quality, analytics, and Microsoft Fabric migration initiatives. Partner with engineering, design, finance, compliance, and internal data users to frame problems, run experiments, prioritize investments, and improve payment success, chargebacks, data quality, Power BI adoption, and self-service analytics.

Owns the digital storefront and commerce customer journey across merchandising, applications, checkout, and post-purchase experiences. Develops product roadmaps, defines requirements, leads cross-functional initiatives, analyzes funnel and conversion data, and drives iterative improvements. The role requires direct experience with agentic commerce, B2B2C platforms, AI chatbot workflows, fintech payment or lending products, and web and mobile commerce experiences.

Own the product strategy and roadmap for media pricing, buying, and transactions. Partner with customers, commercial teams, product, design, and engineering to define use cases, validate concepts, prioritize requirements, and deliver customer value. Lead agile execution, customer feedback management, go-to-market enablement, and executive communication. The role requires strong analytical, communication, and product leadership skills in SaaS, data, advertising, media, or ad tech environments.

Own end-to-end capacity delivery for Microsoft’s AI infrastructure portfolio, including NeoCloud partnerships and large-scale GPU deployments. Establish execution plans, risk management, milestones, operating models, metrics, and reporting. Coordinate engineering, networking, datacenter operations, supply chain, finance, and external partners to resolve bottlenecks and deliver strategic capacity commitments. Drive automation, AI, and agentic workflow initiatives that improve predictability, reduce operational effort, accelerate execution, and support Azure’s long-term AI infrastructure strategy.

Manage roadmap execution and optimization for commerce and payment systems supporting VR experiences. Analyze payment setup, checkout flows, funnels, KPIs, and product data to identify improvements. Partner with Data Science, Engineering, Design, and other stakeholders to define requirements and deliver initiatives. Use AI-enabled tools to accelerate analysis and support product decisions.

Lead product strategy and lifecycle for Liquid Staking/Restaking products. Drive development, launch, and growth by collaborating with engineering, design, and marketing. Gather stakeholder and user feedback, perform competitive and market research, and prioritize data-driven product improvements to increase adoption and differentiation.