Top Remote Technical Product Manager Jobs

Own the advertising recommendation engine, including ranking quality, optimization objectives, guardrails, metrics, and model roadmap. Lead experiment design, inference standards, holdouts, rollback criteria, and production launches. Evaluate model performance and business impact with data science and stakeholders. Partner across ML, analytics, ad operations, pricing, identity, telemetry, and commercial teams. Apply advertising economics, ranking systems, SQL, and data-platform expertise to improve monetization for mobile apps and games.

Own the data and identity platform powering advertising, including event taxonomy, schemas, attribution, identity resolution, reporting APIs, real-time signals, and data contracts. Partner with engineering teams to build scalable interfaces for ads, machine learning, and customer reporting while ensuring compliance with GDPR, CCPA, ATT, SKAdNetwork, and consent requirements.

Own the vision, strategy, roadmaps, and deployment of AI and laboratory products supporting biologics discovery. Lead cross-functional teams of AI/ML researchers, engineers, and life scientists developing platforms for AI-guided target identification and drug design. Gather requirements, prioritize backlogs, define OKRs and KPIs, manage stakeholders, remove execution blockers, conduct user research, and drive product adoption across internal programs and external partnerships.

Own the vision, strategy, roadmap, and backlog for internal back-end platform products supporting engineering teams. Lead platform modernization initiatives, define platform capabilities and requirements, track KPIs, and partner with Platform Engineering, Enterprise Architecture, and application teams to deliver scalable, secure, reusable services, APIs, and developer tooling. Balance technical debt, operational needs, and long-term investments while guiding engineering stakeholders and ensuring reliability and quality standards.

Own technical capability roadmaps, prioritize program and ART backlogs, define feature requirements, and coordinate delivery across product teams, platforms, vendors, and technology organizations. Partner with architects, engineers, stakeholders, and risk teams to manage dependencies, risks, governance, release readiness, compliance, and production supportability. Track delivery progress, success metrics, adoption, and value realization while facilitating tradeoff decisions, stakeholder alignment, demonstrations, and continuous improvement.

Lead the design and scaling of a unified fraud and risk platform. Define product roadmap, run data analysis and A/B tests, collaborate with engineers and data scientists to build real-time fraud detection, manage stakeholders, and balance customer experience with effective risk mitigation.

Lead design and scaling of a unified fraud and risk platform. Define product strategy, own fraud metrics, run SQL-driven analysis and A/B tests, and partner with engineers and data teams to build real-time detection, identity verification, and transaction monitoring. Balance customer experience with risk mitigation and communicate impact to executives, legal, and partners.

Own the technical roadmap for Company Operations, translating business needs into engineering specifications, prioritizing sprints, allocating capacity, and ensuring quality delivery. Partner with data engineering to evolve warehouse structures, establish business logic, validate data, and support financial and go-to-market reporting. Collaborate cross-functionally on build-versus-buy decisions, perform hands-on QA and data validation, and prototype with AI coding tools.

Own the end-to-end revenue cycle product roadmap, including eligibility, prior authorizations, claims-adjacent workflows, and EHR integrations. Translate clinic operations into product requirements, partner with Engineering on delivery and trade-offs, engage clinics and operations teams, define success metrics, and shape broader platform strategy. The role requires direct revenue cycle experience, strong communication, autonomy in a startup environment, and regular travel to NYC.

Owns the technical strategy, roadmap, requirements, and delivery of scalable data solutions. Partners with business, product, design, and engineering teams to prioritize high-impact features, assess vendors, guide architecture, incorporate AI strategies, and resolve technical issues. The role requires strong BI and data warehouse expertise, technical leadership, stakeholder communication, agile product development, customer delivery support, and mentoring responsibilities.

Lead development and scaling of a payments orchestration platform: own routing, authorization, reconciliation, and settlement. Work hands-on with engineering and data (SQL) to optimize authorization, conversion, and costs; expand rails and integrations; coordinate with fraud, finance, ops, and BD; and communicate strategy to execs and partners.

Lead the design and scaling of a payments orchestration platform: own routing, reconciliation, settlement, metrics (authorization, conversion, cost, GMV), payment integrations, analytics, fraud coordination, and partner management while working hands-on with engineering, finance, and operations.

Lead development and scaling of a payments orchestration platform: own routing, authorization, settlement, reconciliation, and integrations across processors and rails. Drive payments strategy, run data analysis and SQL-backed experiments, collaborate with engineering, finance, fraud, and BD, and optimize authorization, conversion, and unit economics.

Lead product strategy and delivery for custom ad-sales applications. Manage full SDLC, create project and resource plans, run Scrum/stand-ups, write user stories, track progress, mitigate risks, and coordinate cross-functional teams to deliver scalable, revenue-driving solutions and post-production enhancements.

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

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 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 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.

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.

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.