Top Artificial Intelligence Product Manager Jobs

Lead and communicate the strategy of the AI platform, collaborate with stakeholders, and build processes for B2B product management.

The role involves mechanical design and development of consumer devices, collaborating with manufacturing partners, prototyping, and driving product roadmap.

As a Technical Product Manager at Arize, you will strategize and develop the product roadmap, engage customers for feedback, collaborate with cross-functional teams, and integrate market insights into product requirements.

The Senior Product Manager will define and develop Socure's Age Assurance capabilities, ensuring compliance while enhancing user experience and safety for minors online.

The Senior Product Manager will conduct market research, engage with customers, collaborate with teams, develop product strategies, analyze competitors, and manage feedback loops to enhance product offerings.

Lead end-to-end product development for a perpetual DEX: define strategy, write PRDs, coordinate cross-functional teams, run user interviews, analyze feedback and analytics, and launch and iterate features to scale product adoption and optimize user experience.

Lead product development for a hardware-enabled software platform serving public works teams. Collaborate with design, engineering, and GTM to prioritize problems, prototype rapidly, define success metrics, and ship products that drive usage and retention. Partner with customers and stakeholders to translate needs into focused product decisions and support launch and pricing experiments.

Lead strategy, roadmap, and delivery for a core SaaS product line in asset and wealth management. Align cross-functional teams, own KPIs for adoption and retention, partner with sales and client success, and translate client and market inputs into product direction. Report to the CPO and drive measurable client outcomes.

Lead end-to-end product development for Partner API, customer workflows, curated data layer, and automation tools. Define requirements, sequence and de-scope work, align engineering, design, AI/ML, operations, and GTM, drive launch and rollout plans, and manage post-launch stabilization. Focus on healthcare data quality, EHR integrations, APIs, and AI-assisted automation. Hybrid in NYC (2-3 days/week).

Lead requirements elicitation and documentation for federal healthcare IT products. Conduct JAD sessions and user interviews, translate business needs into user stories and specifications, coordinate UAT and training, partner with development and QA teams, manage project deliverables, and ensure alignment with agile practices and client objectives.