Top Remote Technical Product Manager Jobs

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.

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.

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.

Lead technical development and launch of Cisco IQ Platform components (core tools, AI models, autonomous agents). Drive initiatives from conception to release, balancing internal developer and enterprise customer needs, and partner across product teams to maintain architectural integrity and maximize value consumption.

The Senior Technical Product Manager will lead the strategy and execution of Fingerprint's Bot Detection product, covering detection capabilities, customer experience, and commercialization efforts.

Lead product for Matia's platform areas (Ingestion, Reverse ETL, Observability, Catalog). Deeply understand database internals and CDC, engage US customers, write clear specs for remote engineering, prioritize ruthlessly, and shape product culture and roadmap.

Own an end-to-end product area for AI-native mortgage automation. Lead customer discovery, define requirements, prototype solutions, write clear specs, set success metrics, and partner with Engineering, Design, Sales, and Customer Success to ship reliable, regulated B2B SaaS features.

Own the end-to-end data lifecycle for a device intelligence platform: define data collection instrumentation, manage ingestion/storage/processing, and drive analytics, API, and dashboard experiences. Prioritize roadmap across JS Agent, Server APIs, Dashboard, and MCP; run planning, write PRDs, manage migrations, and coordinate launches and customer enablement.

Lead product ownership for business-facing applications, manage a single development team through all phases, prioritize and propose application demand, define feature sets, perform market and competitor analysis, and collaborate with technology teams to make tactical product decisions.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

Drive strategy, development, and lifecycle of technical healthcare payer products (STARS/HEDIS focus). Define requirements, lead cross-functional Agile teams, ensure regulatory compliance (CMS/HIPAA), manage vendors, analyze data/metrics, and coordinate launches to deliver business and customer value.

Lead strategy, discovery, and execution for operational and fulfillment product domains. Partner with Operations, Engineering, Data, and executives to define roadmaps, prioritize initiatives, and deliver scalable solutions that improve throughput, reduce costs, and enhance customer outcomes. Drive discovery, define requirements and success metrics, leverage SQL and AI, and measure operational impact across OMS/WMS/TMS and adjacent systems.

Lead technical product management for genomics diagnostics by translating clinical, market, and operational needs into technical requirements, user stories, and implementation plans. Own prioritization, roadmaps, and cross-functional delivery with engineering, bioinformatics, lab operations, R&D, and commercial teams. Drive scalable solutions, data-informed decisions, change management, and continuous improvement to ensure product adoption and business impact.

Lead the product roadmap for Physical AI, translating research into deployable robotics/autonomy products. Define readiness, success metrics, and reliability thresholds. Align research, engineering, and field teams, prioritize field validation over benchmarks, write clear specs and decision logs, and operate in ambiguous, fast-moving environments.

Own planning, scoping, and execution of tactical features and improvements for the Contracts product. Triage confirmed issue reports and support feedback, identify themes, prioritize engineering-ready requirements, perform UAT, partner with Customer Success and Engineering, and help operationalize intake and AI-powered workflows.

Lead the Live Technology product strategy for MONOPOLY GO!, defining roadmap, KPIs, and execution plans across platform reliability, scalability, studio productivity, and disaster recovery. Partner with engineering, analytics, and operations to prioritize and deliver high-impact platform initiatives, support incident response, and align stakeholders through measurable outcomes and strong communication.

Own end-to-end product logic for a yield optimization platform: define technical requirements, scope system specs, partner with ML and engineering to build auction and analytics features, troubleshoot full-stack ad integrations, engage clients, and drive market-informed product innovation to improve publisher monetization.

The Technical Product Manager will define user stories, manage project features, and collaborate with teams to drive product development and quality assurance.

Lead strategy, development, and commercialization of AI-powered features within a compliance and data archival platform. Define product vision and roadmap, translate technical requirements into prioritized backlogs, collaborate with engineering and stakeholders, measure product success, and drive adoption and lifecycle management of developer-facing infrastructure and AI solutions.

Own the Customer Workflows domain end-to-end: employer/recruiter portals, business service and agentic workflows, and agentic AI use cases. Drive AI-native prototyping, discovery, roadmap, technical scoping, evaluation frameworks, and cross-functional delivery with Engineering, Data, Sales, and CS to produce scalable, data-informed product outcomes.

Lead design and delivery of AI agent solutions for Veeva Labeling, building prototypes and production features. Define data flows, model selection and integration, orchestration, and prompts. Collaborate with engineering, UX, and stakeholders to automate labeling workflows and present capabilities.

Design and deliver AI Agent solutions for Veeva Labeling, build prototypes and production features (data flow, orchestration, prompts), integrate models, collaborate with engineering and UX, evaluate AI agents, and present capabilities to stakeholders. Requires stakeholder communication and independent work in a fast-paced environment.

Define product strategy, vision, roadmaps, success metrics, and delivery plans for complex client engagements. Lead discovery, prioritization, stakeholder alignment, executive communication, and cross-functional collaboration across engineering, design, delivery, and strategy. Build trusted client relationships, facilitate workshops, mentor PMs, establish delivery standards, and resolve complex product and technical challenges. Apply AI tools such as Claude to accelerate research, discovery, synthesis, and documentation.

Lead a product vertical end-to-end for a neobank superapp: set strategy and roadmap, define acceptance criteria, shape technical design for money movement, ensure regulatory/compliance readiness, apply and evaluate LLM/AI where appropriate, and coordinate across engineering, design, compliance, operations, treasury and finance to ship reliable, auditable payment/finance features.

Lead strategy, discovery, and delivery of customer-facing e-commerce products including site search, category navigation, and CX platform. Own backlog, write user stories, run Agile ceremonies, manage integrations, coordinate cross-functional teams, lead UAT/QA, and use analytics/A-B testing to prioritize and measure product outcomes.