Top Product Manager Jobs

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.

Own the vision, strategy, roadmap, packaging, pricing, and economics for DigitalOcean’s App Platform, Serverless Functions, and Container Registry. Lead customer discovery, developer experience, platform architecture tradeoffs, infrastructure efficiency, reliability, launches, and cross-functional execution. Partner with engineering, finance, infrastructure, marketing, sales, and support to improve adoption, retention, performance, utilization, and gross margins across managed compute services.

Own the vision, strategy, roadmap, pricing, and platform economics for DigitalOcean’s App Platform, Serverless Functions, and Container Registry. Partner with engineering, infrastructure, finance, and go-to-market teams to improve developer experience, utilization, reliability, cost efficiency, and growth. Lead customer discovery, architecture tradeoffs, launches, competitive analysis, and post-launch outcomes across managed compute services.

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

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

Own Deepgram’s AI applications product line, including strategy, roadmap, customer definition, acquisition, activation, retention, monetization, and profitability. Lead zero-to-one product development, represent the product with customers and partners, and coordinate research, engineering, design, and marketing. Prototype and validate ideas through real usage and measurement while communicating decisions to executives. The role requires shipped, paid consumer or prosumer products, deep AI application experience, technical depth, design judgment, and strong product leadership.

Own and prioritize product roadmaps for business cards and payments products. Translate business epics into features and user stories, define acceptance criteria, assess customer and business needs, and collaborate with designers, technologists, data scientists, and stakeholders in an agile environment. Research emerging technologies, develop customer-focused digital features, manage product platforms, communicate roadmaps, and drive cross-functional teams toward MVP delivery and business outcomes.

Own the roadmap for Datadog’s AI Agent Observability capabilities. Develop product strategy by researching customer needs, validating concepts with design partners, and understanding how teams build, evaluate, monitor, and troubleshoot AI agents. Collaborate with engineering, design, and go-to-market teams from concept through launch, while driving adoption, customer education, and product growth. Track AI ecosystem developments to guide priorities.

Own the strategy, roadmap, feature definition, and lifecycle success of digital servicing platform products. Responsibilities include market and user research, product vision, backlog management, requirements definition, prioritization, KPI tracking, stakeholder collaboration, launch readiness, risk mitigation, and mentoring product managers. The role also supports product management best practices and team development.

Owns the end-to-end strategy, health, and evolution of debit card servicing journeys. Develops roadmaps, analyzes customer and business performance, identifies improvements, manages risks, and coordinates execution across Product, Technology, Operations, Compliance, Legal, Design, Analytics, and customer-facing teams.