Top Product Manager Jobs

Owns claims software product delivery by defining goals, gathering requirements, writing user stories, prioritizing work, planning releases, and facilitating Agile ceremonies. Partners with stakeholders, Scrum Masters, technical leads, business analysts, and QA professionals to guide delivery teams, coordinate testing, manage dependencies, and ensure clear communication throughout development projects.

Owns the lifecycle of 6–10 products and applications, translating stakeholder needs into requirements, user stories, backlogs, releases, and enhancements. Coordinates cross-functional delivery with IT, UX, analytics, operations, and vendors; leads testing, release readiness, implementation, and post-launch evaluation. Monitors product performance, gathers user feedback, supports operational teams, and recommends improvements to user experience, workflows, and business outcomes.

Owns the vision, strategy, roadmap, discovery, delivery, and optimization of digital products supporting transportation and logistics services. Partners with engineering, design, data, operations, and IT to understand customer needs, prioritize backlogs, define success metrics, guide agile delivery, and improve adoption, efficiency, and ROI. The role requires strong product judgment, analytical decision-making, stakeholder alignment, and cross-functional leadership.

Lead a new product line from discovery through launch, owning its vision, strategy, roadmap, requirements, metrics, and performance. Partner with engineering, conduct customer and market research, create data-driven insights, and manage post-sale relationships with key biopharma accounts. Develop AI-assisted workflow tools and collaborate on account strategy, renewals, and expansion opportunities.

Own product direction, prioritization, and delivery for tactical command-and-control software and an integration platform. Translate operator and mission needs into product decisions, define system interfaces, and partner with software, systems, hardware, and integration engineers. Balance program-specific integrations with reusable platform capabilities while supporting real-world deployments, interoperability, and operational constraints.

Owns strategy, roadmap, lifecycle, metrics, responsible AI practices, commercialization, and go-to-market for AI/ML-powered healthcare products. Partners with Data Science, Engineering, Legal, Marketing, Sales, and customers to define use cases, requirements, success criteria, pricing, and launch plans. The role requires managing platform and partner integrations, coordinating cross-functional dependencies, ensuring HIPAA and privacy compliance, and translating technical AI concepts for business stakeholders.

Own and ship a 0-to-1 product applying deep learning to physical labor businesses. Responsibilities include aligning research, software, hardware, data collection, and field operations; expanding deployments across sites and countries; gathering operator and customer feedback; setting quality and latency standards; and integrating compliance, consent, compensation, and marketplace incentives into the product.

Leads strategy, roadmap, discovery, development, and launches for Stella, ServiceTrade’s agentic AI product suite. Partners with engineering, design, sales, marketing, and customer success to deliver trusted AI capabilities, manage backlogs and UAT, drive adoption, and align product execution with customer needs and business goals.

Supports product ownership for mission-critical Air Force and USSTRATCOM software modernization. Responsibilities include backlog prioritization, requirements elicitation, use-case and operational scenario development, stakeholder coordination, sprint and release planning, risk and dependency management, testing support, fielding, executive briefings, and stakeholder training. The role is full-time and on-site at Offutt Air Force Base, Nebraska, with up to 10% travel.

Own and administer Forcepoint’s enterprise Anthropic environment, including provisioning, identity integrations, connectors, access policies, licensing, usage audits, security controls, and vendor management. Drive the internal AI platform roadmap by gathering feedback, prioritizing improvements, onboarding teams, delivering training, and measuring adoption. Partner with security on AI governance, data protection, acceptable-use policies, and incident response while serving as the primary Anthropic vendor contact.