Top Remote Technical Product Manager Jobs

Own strategy, roadmap, prioritization, and execution for AI-powered product experiences at scale. Use product analytics and experimentation to drive business-impacting decisions, write senior-level strategy and requirements documents, align engineering, data science, and business stakeholders, and mentor junior product managers. Requires hands-on experience shipping AI or data-powered products, strong technical fluency, and the ability to influence without direct authority.

Own the strategy, roadmap, requirements, launch, adoption, and success metrics for a technical platform. Partner with engineering, data, product, and business teams; evaluate architecture, APIs, and system tradeoffs; prioritize foundational investments against customer and revenue outcomes; and apply AI to improve platform capabilities. The role requires strong product management experience, technical depth, analytical skills, and production experience with LLM-based or ML-adjacent products.

Leads AI strategy, digital transformation, and technology product initiatives for an Indiana health plan. Identifies high-value AI and automation opportunities, develops roadmaps and solution recommendations, champions responsible AI, and serves as the primary technology partner to health plan leadership. The role translates Medicaid and Medicare operational, regulatory, and business needs into scalable technology solutions while coordinating enterprise partners, vendors, regulators, risks, dependencies, compliance requirements, and delivery priorities.

Own the product direction, prioritization, and delivery of Leap’s data platform and integrations. Translate cross-functional needs into scoped projects, requirements, milestones, and acceptance criteria. Guide ingestion, data quality, provenance, reliability, and client integrations while partnering with engineering, analytics, implementation, security, and external technical teams. Investigate technical issues using SQL and data tooling, improve delivery processes, and establish scalable capabilities for onboarding clients and data sources.

Own a product area from customer research through launch and continuous improvement. Partner with engineering, design, sales, and customer success to define specifications, build AI-assisted prototypes, guide technical decisions, set measurable goals, support customer deals, and refine products based on performance. This remote U.S. role requires approximately monthly domestic travel to customer locations.

Defines and evolves an enterprise AI and analytics platform. Owns product strategy, roadmap, requirements, and success metrics while partnering with customers, stakeholders, engineering, AI/ML, data science, and UX teams. Drives scalable, secure, responsible AI capabilities that improve adoption, engagement, reliability, and business value. The role requires experience with enterprise software, analytics, data, AI, platform products, modern data architectures, and technically complex engineering initiatives.

Leads enterprise-wide technical and transformation initiatives across Product, Technology, Operations, Data, Security, and Innovation. Responsibilities include program governance, requirements gathering, product documentation, architecture and process modeling, delivery coordination, risk and dependency management, AI use-case evaluation, vendor assessment, and executive stakeholder communication. The role establishes documentation standards and supports modernization through Agile practices, integrations, automation, and responsible AI governance.

Lead product vision and roadmap for data and analytics products (ML, generative AI, data pipelines, BI). Translate business needs into developer-ready features, maintain backlog, collaborate with engineering and stakeholders, track KPIs, and drive adoption and continuous improvement.

Leads strategy, discovery, backlog management, technical execution, and scalable capability development for digital pharmacy products. Partners with Engineering, Architecture, Design, Analytics, and business teams to define MVPs, user stories, acceptance criteria, APIs, integrations, and reusable platform services. Uses customer and operational data to prioritize work, validate outcomes, identify dependencies, and evolve successful capabilities across products, channels, and clients.

Own the vision, roadmap, and delivery for Cobalt’s autonomous and continuous pentesting portfolio. Lead customer discovery, define product requirements, manage features from ideation through post-launch evaluation, and align product outcomes with adoption, retention, and ROI metrics. Act as the internal expert on continuous vulnerability management and AI-driven offensive security while improving product processes and coordinating engineering, design, marketing, executives, and customers.

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 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 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.

Own the vision, roadmap, and delivery priorities for an AI infrastructure resilience platform. Partner with engineering, cloud providers, and cluster operators to improve GPU node health, workload failure attribution, scheduler readiness, and developer experience. Lead open-source community engagement, translate operational requirements into product capabilities, and guide architecture and execution. The role requires deep GPU cluster operations expertise, knowledge of hardware and software failure signals, and experience supporting large-scale AI infrastructure.

Own enterprise product strategy and roadmaps while designing hybrid-cloud networks, APIs, infrastructure automation, and Kubernetes services. Write integrations in Python or Go, build provisioning workflows, troubleshoot production systems, improve observability and reliability, and define architecture and acceptance criteria. Partner with developers, cloud providers, security teams, and engineering to deliver supportable solutions across cloud and on-premises environments.

Owns technical requirements, product backlog, hardware NPI, lifecycle execution, and user experience for electronic warfare and sensing products. Translates tactical mission needs into hardware configurations, software specifications, and operator experiences while coordinating engineering, manufacturing, sales, defense integrators, and customers. Responsibilities include sprint planning, trade-off analysis, field testing, customer integrations, product adoption, and continuous post-launch improvements. Requires expertise in RF communications, signal processing, software-defined radios, and tactical defense applications.

Own the roadmap for Oura’s Business Technology Services and Workato integration platform. Prioritize cross-functional demand, define API contracts and integration patterns, guide build-versus-buy decisions, and connect platform strategy to Databricks data infrastructure and AI agents. Partner with senior stakeholders, Enterprise Architecture, and engineering leadership while establishing intake processes and helping build a permanent Integration and Automation Engineering team.

Lead strategy and execution for a workflow orchestration platform in a spec-driven development environment. Responsibilities include authoring technical specifications, defining roadmaps and product metrics, conducting customer and stakeholder research, writing prototypes and automation, analyzing data, participating in design reviews and pull request reviews, and partnering closely with engineering to deliver scalable platform capabilities.

Leads discovery, definition, execution, and optimization of marketing technology products supporting growth, marketing, and sales teams. Partners with business owners, analysts, developers, and users to define requirements, write user stories, establish measurable success criteria, build roadmaps, and deliver scalable solutions. Uses data, research, and technical understanding to improve workflows, integrate platforms, and drive pipeline and revenue outcomes.

Own the HubSpot CRM/ESP platform, architecture, governance, data flows, integrations, reporting, deliverability, and messaging standards across multiple brands. Analyze customer and messaging data, investigate performance and deliverability issues, partner with Engineering and business teams, evaluate vendors, support migrations, and establish scalable consent, preference, compliance, and multi-channel communication processes.

Own the Sonar product roadmap and develop infrastructure for secure collaboration, identity, investigation, and distribution across financial institutions and their AI agents. Define technical specifications, integration documentation, regulatory product requirements, success metrics, and platform architecture. Partner with Engineering, Legal, fraud and AML teams, Sales, Business Development, and institutional partners to scale API and data-sharing capabilities within financial crime compliance constraints.

Owns the Defense & Systems data product marketplace and enterprise catalog, including product onboarding, certification intake, discovery, self-service access workflows, and adoption metrics. The role manages the feature backlog, coordinates data product owners and architects, defines SLAs and health criteria, conducts consumer research, and reports usage and value realization. It requires cross-functional stakeholder management, data catalog and API knowledge, and experience operating data product or IT processes.

Own Keet’s vision, strategy, roadmap, and growth toward one billion users. Lead technical product decisions for peer-to-peer messaging, voice, video, synchronization, mobile and desktop distribution. Partner with engineering and cross-functional teams to run delivery, releases, testing, and post-launch iteration. Build rapid AI-assisted prototypes, present strategy to executives and the board, manage dependencies, and maintain high standards for reliability, privacy, performance, and user experience.

Own the core database and degree audit system for a higher education technology platform. Set product direction for a squad of 4–6 engineers, provide technical expertise on data modeling and system connections, prioritize delivery, lead discovery, document requirements, and drive user acceptance testing while partnering with implementation, integration, and customer success teams.

Own product development coordination, roadmap execution, delivery timelines, client discovery, demos, and stakeholder management. Partner with engineering, sales, operations, and client success teams to translate customer needs into product requirements and solutioning. Coordinate messaging across product lines, support deal lifecycles, and create customer-facing presentations, proposals, and solution materials using AI tools.