Top Remote Technical Product Manager Jobs

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

Lead Technical Product Manager owns end-to-end delivery of an AI platform for Pharmacy Benefit Management. Translate PBM workflows into AI-driven solutions, define technical requirements and validation, lead Agile delivery with engineering and data science, ensure governance/security/compliance, and evaluate emerging AI technologies to deliver measurable value.

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.

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.

Own the networking vision and roadmap for k0rdent AI, defining underlay/overlay fabrics, RDMA, DNS/IPAM, network automation, and DPU/SmartNIC integration. Translate customer and engineering requirements into priorities, track emerging interconnect standards, and support positioning, field engagements, and reference architectures.

Lead development of payments products by defining features, epics, and technical user stories; manage transaction processing backlog; integrate third-party services; produce technical documentation and go-to-market materials; drive roadmap execution, cross-functional alignment, market research, user insight gathering, and release/migration playbooks.

As a Senior Technical Product Manager, you will lead the AI Platform team to define roadmaps, collaborate with technical experts, and improve healthcare delivery by leveraging AI technologies.

Lead product definition and execution for AI-powered assistant systems. Define end-to-end requirements, translate model capabilities into product decisions, design evaluations, balance trade-offs (quality, latency, cost, reliability), and work closely with ML, backend, and mobile engineers to ship reliable, user-trusted AI features.

Lead the AI product strategy, collaborating with engineers to balance user needs and technical feasibility, ensuring quality and timely product delivery.

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.

Lead product strategy and roadmap for JLV within VA Clinical Informatics. Gather clinician and stakeholder input, prioritize backlog using WSJF, translate requirements into deliverable epics, support PI planning and program-level reporting, and ensure alignment with VA policy, security, and modernization goals.

Lead the Intelligence platform roadmap and run cross-functional programs linking science, data, mobile, and partner projects. Translate scientific scoring logic into product requirements, manage partner engagements, run agile ceremonies, document decisions, define acceptance criteria for AI/LLM features, and drive production deployment of scoring fixes and model updates.

Lead technical product strategy for a digital health platform: own data ingestion, cloud architecture, APIs, and integrations. Collaborate with data science, firmware, and cloud teams to scale signal processing, ensure regulatory compliance (21 CFR Part 11, HIPAA, GDPR, GxP), author technical PRDs, and drive ML deployment frameworks.

Lead development of a scalable document processing platform supporting document storage, extraction, indexing, embeddings, and multi-modal search. Define platform vision and roadmap, write technical requirements with engineers, drive adoption and migrations, monitor performance and AI outcomes, and mentor junior PMs to deliver reliable, high-performance infrastructure for AI-driven legal products.

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.

Lead strategy and delivery for enterprise data, analytics, and AI/ML products. Manage a small TPM team, own portfolio roadmaps, prioritize platform investments, ensure model governance and compliance, and drive measurable business outcomes through cross-functional leadership and operational excellence.

Lead product strategy for high-throughput data ingestion, Medallion Lakehouse analytics, and FHIR-native MDM. Drive decoupling into microservices, design Spark/Databricks streaming and batch pipelines, define identity resolution and survivorship rules, and create error remediation, DLQ handling, data steward interfaces, and idempotent replay mechanisms to maintain a Golden Patient Record at scale.

Owner of marketing measurement product for Unilever Prestige: manage MMM, attribution and incrementality lifecycle; build and prototype AI agents and workflows to automate QA, model refresh, reconciliations and insight generation; coordinate data pipelines and BI outputs; drive adoption across brands through training and embedded workflows; partner with data engineering, analytics and brand teams to translate measurement into investment decisions.

Drive the mobile platform roadmap to ensure developers can ship high-performing games across mobile hardware. Collaborate with engineering and customers to define requirements, validate features, align platform partners, translate technical roadmaps for executives, and surface cross-team concerns using data and feedback to prioritize work.

Own Prompt's API and EHR integration roadmap, manage interoperability with major EHRs and Kno2, lead Patient Portal development, guide DevOps priorities, ensure CEHRT/CMS/HIPAA compliance, and coordinate cross-functional product, engineering, sales, and partner initiatives.

Lead the vision and delivery of customer-facing AI/ML models and data products. Partner with clients, data science, and engineering to define requirements, validate hypotheses with SQL-driven analysis, design data visualizations, and launch features that drive adoption and ARR.

Own technical product planning for AI inference software: define requirements across model coverage, numerics, inference engine and serving-stack features, roadmap planning, ecosystem engagement, documentation, lifecycle management, and automation using agentic AI. Translate model and system trends into engineering scope and partner with engineering and GTM teams to deliver a managed inference service.

Build and ship end-to-end AI-enabled tools, agents, copilots, and automations embedded in clinical and operational workflows. Own architecture, data integrations, prompts, evaluation, monitoring, and adoption. Embed with frontline teams to redesign workflows, measure impact, and iterate while ensuring privacy, security, and regulatory compliance.

Lead design and scaling of a unified fraud and risk platform. Own roadmap, fraud metrics, SQL-based analysis, A/B testing, real-time detection models, and cross-functional delivery to balance customer experience and risk mitigation.

The Principal Technical Product Manager will lead cross-functional teams in product strategy, feature development, and lifecycle management for a new unannounced AAA mobile game, using data analysis to guide decisions.