Top Product Manager Jobs

Owns the feature backlog, product vision, roadmap, requirements, metrics, and launches for the OnStar Guardian mobile app. Collaborates with engineering, design, marketing, sales, operations, and executives to deliver customer-focused features. Conducts market and competitive research, prioritizes enhancements, coordinates go-to-market activities, and evaluates post-launch performance. The role also requires substantial automotive embedded controls experience, including thermal management systems, calibration, validation, and model-based software verification.

Owns GenAI-powered product areas from discovery through delivery and iteration. Translates technical capabilities and stakeholder needs into product requirements, user stories, roadmaps, and scalable media workflow solutions. Partners with engineering, data science, program management, vendors, and business stakeholders to evaluate model quality, cost, performance, and latency. Conducts product testing, manages post-launch improvements, presents metrics and recommendations, and mentors junior Product Managers.

Owns the discovery, development, delivery, and continuous improvement of GenAI-powered products across NBCUniversal. Translates stakeholder and technical needs into product requirements, user stories, roadmaps, and measurable outcomes. Partners with Engineering, Data Science, Program Management, vendors, and business teams to balance model quality, performance, cost, and latency. Conducts testing, supports product reviews, presents updates to leadership, identifies reusable AI capabilities, and mentors junior Product Managers.

Owns the development and lifecycle of GenAI-powered products across media workflows, metadata systems, and enterprise integrations. Defines requirements, user stories, roadmaps, and product outcomes while partnering with Engineering, Data Science, Program Management, vendors, and stakeholders. Evaluates model quality, cost, latency, and performance; leads testing, launches, iteration, documentation, and executive updates. Also mentors junior Product Managers and identifies reusable AI capabilities and operational improvements.

Owns GenAI product areas from discovery through delivery and iteration. Defines requirements, user stories, roadmaps, and product metrics while partnering with Engineering, Data Science, Program Management, vendors, and business stakeholders. Evaluates model quality, cost, performance, and latency; validates product functionality; supports launches and continuous improvement; and mentors junior Product Managers.

Owns the strategy, roadmap, development, testing, and continuous improvement of GenAI-powered products supporting media workflows and enterprise integrations. Translates technical capabilities into product requirements, partners with Engineering and Data Science, evaluates quality, cost, performance, and latency tradeoffs, manages stakeholder communications, and mentors junior Product Managers.

Owns GenAI-powered product areas from discovery through delivery and iteration. Defines requirements, user stories, roadmaps, testing plans, and post-launch improvements while partnering with Engineering, Data Science, Program Management, vendors, and business stakeholders. Evaluates model quality, performance, cost, and latency; communicates product updates and recommendations; and mentors junior Product Managers.

Product Manager responsible for driving the vision, roadmap, design, rollout, and lifecycle of Cohere Health’s Review Intake and provider portal products. The role partners with design, engineering, analytics, operations, client success, and strategic clients to improve provider experiences and utilization-management efficiency. Responsibilities include user research, competitive analysis, product requirements, stakeholder alignment, executive presentations, and cross-functional delivery, with an emphasis on applying AI and ML to healthcare challenges.

The Product Manager, Fulfillment will own the strategy and roadmap for benefits carrier integrations and infrastructure. They will partner with engineering, operations, and cross-functional teams to define requirements, prioritize initiatives, improve workflows, manage scope, and deliver reliable, scalable solutions. The role requires translating complex technical and operational needs into actionable product plans while balancing immediate priorities with long-term platform scalability.

Lead the vision, strategy, roadmap, portfolio, and go-to-market execution for AI inference cloud services. Partner with engineering, customers, sales, marketing, and industry partners to solve scaling and optimization challenges across specialized GPU infrastructure. Evaluate AI and cloud technology trends, define differentiated inference capabilities, translate customer needs into product investments, and drive business growth through innovative AI cloud products.

Owns strategy, roadmap, development, launch, and customer deployment of an autonomous orchestration platform. Translates defense, intelligence, and commercial customer needs into product requirements; collaborates with engineering on integrated hardware, firmware, and software systems; conducts market and competitive analysis; supports go-to-market efforts; and leads cross-functional product delivery and continuous improvement.

Own the roadmap and evolution of an enterprise AI platform supporting agentic workflows. Translate customer and stakeholder needs into product requirements, user stories, and practical AI capabilities. Partner with engineering, design, and program teams to ship secure, extensible technical products. Lead product testing, demos, quality assurance, and executive communication while guiding teams through ambiguity.

Own outbound product strategy for ServiceNow’s Workflow Data Fabric and RaptorDB Professional. Develop positioning, messaging, use cases, competitive differentiation, launches, sales enablement, demos, and customer-facing content. Engage enterprise customers, executives, analysts, sellers, and partners through briefings, events, webinars, and strategic deals. Translate complex data, analytics, integration, platform performance, and AI-readiness capabilities into business value while using market feedback to influence roadmap, go-to-market execution, adoption, and growth.

Own outbound product strategy for ServiceNow Workflow Data Fabric and RaptorDB Professional. Translate complex enterprise data and analytics capabilities into customer value, positioning, messaging, launch strategies, sales enablement, demos, and customer-facing narratives. Partner with product, engineering, marketing, sales, and customer teams to drive adoption and growth. Engage executives, customers, analysts, and sellers while using market feedback and competitive intelligence to influence roadmap priorities and go-to-market execution.

Own outbound product strategy for Workflow Data Fabric and RaptorDB Professional, translating complex enterprise data capabilities into customer value, positioning, launches, sales enablement, and adoption strategies. Engage customers, executives, analysts, sellers, and partners through briefings, events, demos, and strategic deals. Develop messaging, use cases, competitive differentiation, playbooks, training, and campaigns while using market feedback and performance metrics to influence roadmap and go-to-market execution.

Lead AI use-case strategy and the end-to-end pipeline from ideation through production for Global Payment Network. Oversee a centralized knowledge base and context engine spanning code, documentation, policies, and controls. Partner with cross-functional teams to gather requirements, validate content, support agentic development, and improve traceability. Define adoption and ROI metrics, guide pilot-to-production delivery, and create scalable AI enablement playbooks while balancing innovation with governance and compliance.

Own the strategy, roadmap, discovery, delivery, and adoption of a supply chain orchestration product. Define workflows across ERP, WMS, TMS, APIs, EDI, and partner systems; prioritize measurable customer and business outcomes; collaborate with engineering, architecture, UX, data science, sales, and customer teams; and identify AI applications for exception diagnosis, guided resolution, and workflow automation.

Manages onboarding and early-engagement strategies for retail lending products. Develops customer communications, identifies lifecycle friction points, coordinates cross-functional messaging, and uses data, A/B testing, surveys, and feedback to guide product decisions. Oversees product initiatives, analyzes market and business results, supports risk and compliance needs, and recommends enhancements to improve customer and financial outcomes.

Owns the vision, strategy, roadmap, governance, controls, performance metrics, and adoption of enterprise AI agent operating capabilities supporting marketing operations. Partners with technology, analytics, risk, compliance, legal, and business teams to deliver observable, resilient, compliant, and scalable agentic solutions. Leads prioritization, model suitability, operational guardrails, executive reporting, governance participation, and cross-functional alignment in a regulated financial services environment.

Owns the vision, strategy, roadmap, governance, controls, metrics, and adoption of enterprise AI agent operating capabilities supporting marketing operations. Partners with technology, risk, compliance, legal, analytics, and business teams to define scalable agent observability, orchestration, resilience, model routing, cost management, and human-escalation capabilities. Leads prioritization, product discovery, executive reporting, governance forums, and cross-functional delivery in a regulated financial services environment.

Owns the vision, strategy, roadmap, governance, controls, performance, and adoption of enterprise AI agent operating capabilities supporting marketing operations. Partners with technology, data, security, risk, compliance, legal, and business teams to deliver observable, resilient, compliant, and scalable agentic solutions. Defines guardrails, model-routing strategies, operating metrics, product requirements, prioritization, governance routines, and executive reporting in a regulated financial-services environment.

Own the enterprise AI assistant product lifecycle, including vision, strategy, roadmap, capability onboarding, entry points, backlog, and production performance. Evaluate AI advancements, conduct research, define requirements, coordinate Agile delivery, manage quality and usage-based costs, and partner with security, privacy, governance, platform, business, and operations teams. Success is measured through routing accuracy, answer quality, cost per interaction, product performance, and employee satisfaction.

Lead product strategy and roadmap development for AI-native HR technology products. Define requirements, prioritize high-impact initiatives, guide cross-functional development, and build consensus across teams. Translate AI research and market insights into differentiated product features, oversee products from conception through production, and coach product team members. The role requires deep expertise in MCP, A2A protocols, LLMs, agentic workflows, multi-platform architecture, HR technology, vendor AI capabilities, and consumption-based AI pricing.

Product Manager responsible for supporting launches, improving worker onboarding and activation funnels, coordinating cross-functional partners, maintaining conversion reporting, and supporting A/B tests. As experience grows, the role will own product discovery, roadmap prioritization, specifications, success metrics, and engineering delivery. The position requires strong communication, organization, analytical ability, execution, and comfort with ambiguity.

Own the vision, roadmap, developer experience, packaging, pricing, and unit economics for DigitalOcean’s App Platform, Serverless Functions, and Container Registry. Partner with engineering, finance, infrastructure, and go-to-market teams to improve platform efficiency, reliability, adoption, retention, and margins. Lead customer discovery, architecture tradeoffs, competitive analysis, launches, and post-release performance across managed compute services.