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

Own strategy, discovery, and delivery for a hardware product from concept through launch and support. Conduct market and customer research, define requirements, lead prototype testing, and collaborate with mechanical, electrical, firmware, design, and manufacturing teams to balance cost, performance, manufacturability, and schedule. The role focuses on robotics products, iterative physical testing, and delivering reliable industrial hardware.

Own the strategy and roadmap for Thatch’s financial infrastructure, including its ledger, money movement, banking integrations, treasury operations, and financial products. Partner with Engineering, Finance, Operations, Legal, and Compliance to build reliable, scalable, auditable systems. Improve payment economics, evaluate card and credit opportunities, and ensure financial systems support reconciliation, reporting, regulatory requirements, and company growth.

Own the vision and execution of Kong Konnect’s billing and monetization platform, including entitlements, pricing and packaging, usage metering, checkout, subscriptions, invoicing, enterprise workflows, marketplace billing, and fulfillment automation. Partner with Finance, Sales, GTM, Product Growth, and Engineering to improve billing accuracy, customer experience, revenue operations, and platform scalability. Define metrics, lead migrations, and deliver best-in-class billing, provisioning, and monetization capabilities.

Owns end-to-end deployment of AI-enabled clinical workflows across health-system customers. Responsibilities include designing and refining AI agents and prompts, mapping clinical workflows, configuring platform solutions, evaluating outputs, managing implementations, training users, driving adoption, gathering product feedback, and partnering with engineering and product teams on scalable improvements. The role combines pre-sales discovery and solution design with post-sales implementation, optimization, and customer change management.

Own the core design and generative experience for an AI platform serving fashion and retail teams. Lead discovery, product strategy, workflow design, evaluation, activation, trust, metrics, and rapid launches. Partner with engineering and customers to help nontechnical designers achieve high-quality, production-ready outputs. Success requires strong product sense, aesthetic judgment, systems thinking, comfort with probabilistic AI products, data-driven decision-making, and high ownership in an early-stage startup.

Own a defined area of an AI-powered oncology platform, managing its backlog, specifications, release notes, documentation, analytics, and performance measures. Write user stories and acceptance criteria, coordinate backlog grooming and sprint planning, collaborate with engineering and clinical teams, gather user feedback, prioritize improvements using data, and validate product releases.

Own and prioritize the product backlog, facilitate Agile ceremonies, write user stories and functional specifications, define acceptance criteria, and align engineering, design, and stakeholders. The Product Owner tracks delivery progress, oversees testing and validation, incorporates user feedback and performance metrics, and improves team workflows through clear documentation and proactive communication.

Own the roadmap and product strategy for private markets, shareholder, and deals financial data. Define requirements, identify content gaps, improve data quality and discoverability, and partner with engineering, design, data platform, and go-to-market teams to launch features and drive adoption. Conduct customer discovery, prioritize backlogs, establish quality assurance strategies, and support diligence, deal-sourcing, and ownership-analysis workflows for financial professionals.

As a Product Manager, you'll define enterprise product opportunities, drive cross-functional execution, and connect customer needs with product development, focusing on generating revenue through AI and multimodal technologies.

Own the technical roadmap for Company Operations, translating business needs into engineering specifications, prioritizing sprints, allocating capacity, and ensuring quality delivery. Partner with data engineering to evolve warehouse structures, establish business logic, validate data, and support financial and go-to-market reporting. Collaborate cross-functionally on build-versus-buy decisions, perform hands-on QA and data validation, and prototype with AI coding tools.