Top Product Manager Jobs

Lead strategy and execution for an ML-driven clinical attrition and engagement product. Partner with Data Science, Engineering, UX, and commercial teams to define telemetry, model design, evaluation, deployment, and monitoring. Drive discovery, prioritize features, define requirements, lead sprints, and measure business impact. Support go-to-market, documentation, and post-launch iteration while mentoring PM best practices.

Lead cross-functional teams to define, deliver, and iterate healthcare SaaS products focused on license management, regulatory workflows, and compliance. Drive product strategy, discovery, metrics, requirements, backlog prioritization, and commercialization while aligning stakeholders, mentoring PMs, and evaluating GenAI use cases.

Lead end-to-end product development for healthcare operations AI platform: discovery, roadmap, execution, and commercial outcomes. Translate complex workflows into scalable solutions, define success metrics, build customer feedback loops, ensure HIPAA and regulatory-compliant design, and work closely with engineering, design, go-to-market, and executive leadership.

Lead modernization of the Variable Marketing & Incentives AI platform: define strategy, lead discovery and roadmaps, partner with dealers and engineering, leverage data and AI to optimize incentives, drive migration and operational controls, define success metrics, and deliver executive-aligned materials to ensure measurable business impact.

Lead strategy and integration for Environmental & Sustainability Compliance and Corporate Footprint, translating executive vision into operational roadmaps, playbooks, legal frameworks, and technical requirements. Drive cross-functional alignment, manage SDLC/backlogs in Jira, define KPIs/OKRs, and support partner engagement and data-driven regulatory reporting across global teams.

Own end-to-end robotics data collection: translate research needs into collection protocols, run multi-site collection operations, maintain rigs and pipelines, define KPIs, diagnose data quality, and align researchers, engineers, and operators to deliver training-ready datasets.

Lead product for fraud, credit, and compliance in the Fintech area. Own onboarding verification, AML/KYB automation, credit risk scoring and reserve management, fraud detection and enforcement, collections workflows, and platform-oriented admin surfaces. Drive automation, AI-driven detection, and scalable systems while partnering with Risk, Compliance, Treasury, Legal, Collections, and Engineering.

Drive vision, strategy, and roadmaps for core Windows platform technologies. Partner with engineering, OEMs, and silicon vendors to deliver hardware-enabled features, manage cross-team execution, gather ecosystem feedback, and influence adoption of next-generation hardware capabilities.

Lead the strategy and roadmap for KVM-based virtualization products, focusing on design and performance optimization while engaging deeply with the open-source virtualization ecosystem.

Lead strategy and roadmap for a Platform Core Engineering area, partnering with engineering and ML teams to build developer-facing platform capabilities. Own adoption, metrics, launches, migrations, and cross-team alignment. Champion hands-on use of modern AI developer tools and ensure the platform serves diverse developer personas.

Lead strategy and roadmap for a core developer platform area, partnering with engineering and ML teams to drive adoption, launches, migrations, and platform metrics. Advocate for developer needs, champion hands-on use of modern AI development tools, resolve cross-team tradeoffs, and ensure platform capabilities are reliable, documented, and widely adopted.

Senior Product Manager owning strategy, roadmap, and adoption for Platform Core Engineering. Partner with engineering and ML teams to build developer-facing platform capabilities, define metrics, drive launches and migrations, and champion hands-on use of modern AI development tools to increase developer velocity and trust.

Own Azure product vision and roadmap, lead customer discovery and engineering delivery, ensure feature parity with AWS, enable go-to-market and partner motions, and collaborate with Marketing, Sales, and Customer Success to launch and support Azure-focused offerings.

Own the technical product roadmap for a SaaS platform area, driving platform infrastructure, APIs, migrations, security, and scaling. Align Architecture and Engineering with Customer Success, Sales, and other teams; triage operational issues; monitor adoption and performance metrics; act as Product Owner when needed. Use AI tools daily to prototype, analyze data, draft technical specifications, and accelerate discovery while improving Product/Architecture handoffs.

Execute feature-level product work for AI-driven legal platform LOIS: write user stories, groom backlogs, partner with engineering and UX, run UAT, perform customer research, and support go-to-market materials for deposition summaries, goal tracking, and real-time AI features.

As a Senior Product Manager, you'll lead product development in AI-enhanced media, collaborating with engineering and design teams while engaging directly with customers to drive product strategy and market adoption.

Lead product lifecycle and roadmap for software or data-driven capabilities supporting the Defense Intelligence Enterprise. Define requirements, create functional specs and mock-ups, prioritize tradeoffs, guide development in Agile, drive adoption, and manage stakeholder relationships with government and executive audiences.

Lead product lifecycle and roadmap for software/data products serving the Defense Intelligence Enterprise. Partner with Product Owners and government stakeholders to define strategy, prioritize requirements, produce specifications and mock-ups, guide development and testing in Agile environments, and drive adoption and change management across large organizations.

Lead product strategy and delivery for Carta's Fund Administration platform. Collaborate with designers, engineers, and business partners to prioritize features, ship impactful products, and solve complex user problems using systems thinking, data, and rapid validation methods.

Lead multi-year product strategy and roadmap for lighting hardware; define requirements, build business cases, manage agile development with R&D/engineering, ensure regulatory compliance and certifications, drive go-to-market pricing and adoption, monitor post-launch quality/warranty, and mentor product team members.

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.

Lead cross-functional development of a low-latency control system for neutral-atom QPUs. Translate technical roadmaps into traceable requirements, define subsystem interfaces, manage testing and integration, coordinate timelines across theory and engineering teams, and convert R&D outputs into product specifications while communicating status and risks to stakeholders.

Lead the product strategy and roadmap for a governed metric catalog and semantic layer across Merchandising, Apparel and Footwear. Curate and govern metrics, prioritize metric roadmaps, identify metric gaps, define delivery modalities (Tableau, Databricks, web), assess data impact, and coordinate cross-tool sequencing with analytics engineering and business stakeholders to ensure consistent KPIs and reliable analytics.

Lead enterprise product strategy, roadmaps, and KPIs; manage large cross-functional programs, vendors, and procurement; establish governance and product management standards; coach product managers; drive change management, data-driven decisions, and executive alignment to deliver measurable business outcomes.

Lead product strategy and roadmap for catastrophe risk management software. Drive end-to-end product lifecycle from discovery through launch, perform market and customer research, engage directly with clients, prioritize features, collaborate with cross-functional teams, mentor PMs on agile practices, verify releases, and develop technical expertise in models, GIS, geocoding, APIs and related catastrophe risk capabilities while exploring AI-enabled enhancements.