Top Remote Artificial Intelligence Product Manager Jobs in New York City, NY

The Digital Experience Lead is responsible for defining product strategy, guiding marketing showcases, and creating frameworks for product launches and digital experiences. Collaborating with various teams, they utilize analytics and stakeholder input to enhance product visibility and ensure effective launch execution.

The Product Manager will lead the Mission Agents team, translating user needs into actionable product direction while collaborating with engineers and stakeholders to deliver impactful solutions.

The Product Manager for GTM Systems will lead AI implementation across customer-facing workflows, define product roadmaps, and drive adoption by collaborating with various teams to enhance operational efficiencies in GTM processes.

Own and drive the vision, roadmap, and user experience for core support tools. Lead discovery, write PRDs and wireframes, manage execution with engineering and AI teams, coordinate launches and enablement, and track KPIs to drive adoption and business impact.

The Senior Product Manager will drive product strategy, collaborate with teams, analyze user feedback, and own projects from ideation to launch.

As a Senior Product Manager, you will oversee the AI Security product, manage the product lifecycle, collaborate with engineering, and drive product innovation by utilizing customer feedback and market data.

The Product Owner II drives product strategy and backlog management by collaborating with cross-functional teams, focusing on enhancing underwriting processes through analytics and AI solutions, ensuring alignment and delivering business value.

Lead the product-led growth strategy for Deepgram's self-serve business, focusing on revenue growth, user experience, and cross-functional team alignment across marketing, product, sales, and engineering.

As a Senior Product Manager on the Inbound team, you'll define product vision, collaborate across departments, and drive systems to enhance inbound revenue capture, enrichment, and scheduling.

Lead product management for Domino's AI Factory, enhancing MLOps capabilities, driving innovations, and integrating governance in model development. Engage with enterprise clients and maintain high product quality standards.