Top Remote Technical Product Manager Jobs

Lead the product strategy for Feedonomics' API and AI assistant, drive enhancements for developer experience, and collaborate with engineering for successful product delivery.

Leads AI, automation, analytics, and digital transformation initiatives for a Kansas health plan. Partners with executives, IT, regulators, vendors, and business teams to identify use cases, shape technology roadmaps, champion responsible AI, support Medicaid and Medicare operations, manage technology priorities, and ensure compliance with health plan data exchanges and state requirements.

Lead product definition, roadmap, and adoption for the CTOs agentic AI portfolio. Translate strategy into requirements, KPIs, and milestones; run discovery, prioritize backlogs, instrument usage, and shepherd incubation-to-handoff for AI/dev platforms and foundation-model tooling.

Lead the definition and evolution of foundational platform capabilities, improving structural coherence across engineering organizations, and resolving cross-organizational problems.

Lead technical development and launch of Cisco IQ Platform components (core platform tools, AI models, autonomous agents). Drive initiatives from conception to production, balancing internal developer and enterprise customer needs. Partner across product teams to maintain architectural integrity, scalability, and strong customer outcomes. Influence productization of complex modular solutions in security and enterprise networking domains.

Own product strategy, discovery, requirements, and outcomes for Nutrislice’s integrations platform and AI-powered capabilities. Lead API and partner integrations, reusable platform development, AI feature quality and rollout, enterprise migrations, customer communications, documentation, and roadmap prioritization. Collaborate with Engineering, UX, Sales, Implementation, and Marketing while using customer feedback and product data to guide decisions.

Own the vision, roadmap, and feature priorities for Mirantis’s Kubernetes-as-a-Service offering for AI infrastructure providers. Translate customer and partner requirements into scalable cluster lifecycle, multi-tenancy, GPU, security, upgrade, and add-on capabilities. Collaborate with engineering, architecture, marketing, field teams, and ecosystem partners. Define positioning, packaging, competitive differentiation, technical collateral, and go-to-market strategy while supporting strategic accounts and representing the product externally.

Own strategy and delivery of AI-driven products across customer and internal use cases. Lead discovery, write requirements, partner with engineers, design experiments/A-B tests, monitor performance, and champion responsible AI practices.

Own the Keyfactor Platform SaaS product lifecycle from strategy and ideation through launch and iteration. Define roadmaps, prioritize features, manage the backlog, write requirements and user stories, and partner with engineering and cross-functional teams to deliver high-quality products. Gather customer feedback, monitor performance, communicate progress to stakeholders, and maintain relationships with customers and partners. The role requires comfort with PKI, cryptography, cybersecurity, and enterprise security software.

Owns the lifecycle of AI-powered analytics products supporting clinicians, from requirements and discovery through production and maintenance. Partners with data scientists, engineers, clinicians, and executives to define roadmaps, prioritize trade-offs, establish data contracts and SLAs, validate model results, track performance, and demonstrate ROI. Leads Agile scrum teams and drives cross-functional delivery in complex healthcare environments.

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.

Own the observability vision, roadmap, backlog, and priorities for k0rdent AI’s GPU infrastructure control plane. Define integrations across GPU compute, networking, storage, DPUs, schedulers, inference systems, and databases using OpenTelemetry and Prometheus ecosystems. Translate customer and partner needs into product requirements, guide engineering trade-offs, track emerging standards, and support product marketing, field teams, customers, analysts, and ecosystem partners.

Lead the migration of at least three public health jurisdictions annually from a legacy disease surveillance system to a modernized cloud platform. Own the migration service and product roadmap, coordinate DevSecOps, content design, and full-stack engineering teams, manage CDC and jurisdiction stakeholders, guide change management, facilitate delivery ceremonies, and use user feedback and data to improve adoption and product direction.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, regulatory requirements, AI evaluation, reliability, and launch. Partner with engineering, compliance, operations, finance, treasury, and design to build reliable financial products across payments, trading, wealth, and related services. Ensure accurate funds handling, trusted AI features, regulatory compliance, and effective execution in a distributed global team.

Own an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering across APIs, data flows, ledgering, reconciliation, security, and scalability. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end to end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating engineering, compliance, operations, finance, and external partners.

Own the end-to-end strategy, roadmap, metrics, backlog, technical design, regulatory readiness, and launch of an AI-powered investing product. Partner with engineering, compliance, operations, treasury, finance, and design to ensure correct money movement, resilient integrations, trusted AI behavior, and compliant releases. The role requires strong technical product leadership, system design expertise, regulated-domain experience, and hands-on understanding of LLM evaluation and risk management.

Own an AI stockbroking product vertical end-to-end, from strategy and roadmap through technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements including KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Lead cross-portfolio product strategy and execution for Payment Integrity platform capabilities. Define multi-year roadmaps, prioritize initiatives, coordinate delivery across engineering and product teams, influence executive stakeholders, and mentor product leaders to deliver scalable, reusable platform solutions that improve payment accuracy, fraud detection, and operational efficiency.

Owns an AI-focused finance product vertical end-to-end, including strategy, metrics, prioritization, technical design, regulated financial workflows, and launch readiness. Partners with engineering, compliance, operations, treasury, finance, and design to ensure accurate money movement, reliable failure handling, and trusted AI features. Requires strong system-design knowledge, experience with complex technical products in regulated domains, and hands-on judgment with LLM-based products and evaluation.

Own technically complex software products and capabilities from discovery through execution. Partner with product, engineering, architects, and business stakeholders to define requirements, assess feasibility, shape roadmaps, manage tradeoffs, and resolve dependencies. Translate business needs into executable engineering work while communicating technical decisions to senior leaders. The role requires strong understanding of enterprise software, APIs, data, integrations, distributed systems, and regulated environments.

Leads the technical development, deployment, configuration, and lifecycle management of marketing products, offers, promotions, rate changes, and related capabilities. Translates business objectives into technical requirements, user stories, business rules, and acceptance criteria; coordinates solutioning, implementation, testing, launches, and ongoing surveillance. Partners with Marketing, IT, Engineering, Architecture, Legal, Sales Operations, and Customer Care while managing multiple complex projects, risks, dependencies, Agile ceremonies, and stakeholder communications.

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.

Drive product strategy and roadmaps for cardiac safety solutions in clinical trials. Translate customer needs into requirements, collaborate with engineering and UX, lead release planning, and optimize products across the full lifecycle.