Top Remote Technical Product Manager Jobs

Lead technical product strategy and execution for AI-powered learning intelligence infrastructure. Own roadmaps for AI curation, data ingestion, recommendation algorithms, learner profiles, analytics, and platform interoperability. Translate architecture, research, data, and business requirements into technical specifications, backlogs, success criteria, and implementation plans. Coordinate cross-functional stakeholders, manage delivery risks, and ensure systems are explainable, privacy-aware, validated, and aligned with educator and learner needs.

Own the platform and integration strategy for a clinical trial software platform. Translate customer and partner requirements into technical specifications, define integration roadmaps, design and validate solutions, and lead integrations through launch. Establish platform standards, evaluate ecosystem opportunities, measure performance and adoption, and ensure interoperability, reliability, security, and regulatory compliance across clinical systems.

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 design and delivery of incentive program management and provider activation capabilities for a value-based care platform. Define detailed workflows, data models, business rules, specifications, and edge cases; manage backlogs and delivery; collaborate with engineers, providers, practice staff, and senior stakeholders; and operate effectively amid ambiguity with globally distributed teams.

Lead platform strategy and roadmap for a value-based care system supporting risk adjustment, quality measurement, and patient care workflows. Own platform migrations and transition planning, coordinate dependencies across multiple engineering teams, resolve technical and product ambiguity, review data contracts and technical tradeoffs, and validate solutions with clinical and administrative users. Communicate decisions, risks, and progress to stakeholders while partnering with globally distributed engineering teams.

Lead the roadmap and delivery of an AI data platform supporting internal teams and external healthcare products. Manage ML and LLM platform workstreams across data ingestion, training, deployment, monitoring, and workflow optimization. Partner with AI engineers, researchers, data scientists, clinical leaders, and business stakeholders to define requirements, develop user stories, validate model performance, and turn proofs of concept into scalable production capabilities.

Provides Level 2 technical support for cellular and wireline network services in a remote contact-center environment. Responsibilities include monitoring network alerts, diagnosing OSI-layer issues, analyzing Linux logs and packet captures, troubleshooting routers, firewalls, NAT, and network connectivity, coordinating with customers and field technicians, supporting installations, documenting incidents, and meeting service KPIs. The role requires strong Linux command-line, networking, and customer communication skills, with weekend and holiday shift flexibility.

Own AgileSec product capabilities across discovery, planning, execution, release, adoption, and continuous improvement. Gather customer and market insights, define requirements and success metrics, prioritize backlogs, and partner with engineering, UX, sales, support, and alliances. Champion intuitive security workflows, support product launches and integrations, and contribute to cryptographic risk management and post-quantum cryptography initiatives.

Own the vision, roadmap, backlog, and priorities for k0rdent AI observability across GPU infrastructure and distributed AI workloads. Define integrations for metrics, tracing, logs, telemetry, and alerting across Kubernetes, networking, storage, schedulers, inference platforms, and databases. Partner with engineering, marketing, field teams, customers, and ecosystem vendors to shape requirements, evaluate trade-offs, develop positioning, and support deployments.

Own Alpaca’s internal infrastructure and developer platform as a product. Define platform maturity, manage intake and backlogs, establish multi-quarter roadmaps, improve CI/CD adoption, reduce maintenance windows, drive cost attribution and efficiency, and enable globally portable infrastructure. Partner with engineering, DevOps, Platform, and Finance teams to create self-service golden paths, anticipate dependencies, and support reliable deployment across regulated, market-hours-sensitive environments.

Own an end-to-end B2B SaaS product area, from customer discovery and strategy through roadmap, delivery, launch, and iteration. Partner with mortgage lenders, engineers, designers, Sales, and Customer Success to identify problems, define specifications, influence architecture, integrate third-party APIs, prototype with AI tools, and use metrics to guide decisions. This is an individual-contributor role requiring technical fluency and zero-to-one product launch experience.

Leads the customer portal and mobile app product roadmap for insurance policyholders. Owns product vision, backlog prioritization, requirements, metrics, launches, stakeholder communication, vendor relationships, and cross-functional delivery with engineering, UX, operations, and business teams. Uses customer research, usability studies, data, and market analysis to guide strategy while mentoring junior product managers and managing complex technical product initiatives.

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

Own product discovery and delivery for a complex financial application. Responsibilities include clarifying user needs, documenting bugs and features, collaborating with developers on system design, maintaining product documentation, organizing and prioritizing the backlog, managing delivery risks, and analyzing product outcomes. The role requires strong systems reasoning, quantitative skills, communication, stakeholder collaboration, and the ability to learn complex domains quickly.

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 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.

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

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.

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.