Top AI Product Manager Jobs in NYC, NY

The Senior Product Manager will lead the development of AI-driven solutions for investment operations, focusing on automating workflows, collaborating with engineering teams, and ensuring customer adoption of these technologies.

Lead AI-driven content operations product roadmap: embed with content teams, build and ship AI-powered CMS tools and prototypes (Sanity integrations), drive adoption, and make build-vs-buy decisions while pairing closely with engineering.

The Lead Product Manager will define the product strategy for AI/ML features, collaborating with engineering to deliver innovative solutions, enhancing user experiences, and bridging research with production while making critical decisions in ambiguous situations.

Own the vision and roadmap for AI-powered payments pricing products. Partner with business, data, and engineering teams to improve pricing quality, governance, revenue capture, and operational efficiency. Apply analytics and AI to pricing workflows, define requirements and user stories, evaluate product metrics, research industry trends, and align stakeholders on product direction. The role leads product lifecycle activities from discovery and ideation through delivery and value management in an enterprise financial services environment.

The Senior Product Manager will oversee data architecture and search relevance for AI/ML native ads, prototype solutions, and collaborate across teams to optimize product strategy and performance metrics.

As a Senior Platform Product Manager, you'll define and drive product strategy for safe, reliable software delivery focusing on AI-native systems. You'll partner with engineering and security teams to enhance deployment reliability and create automated validation in SDLC workflows, contributing to foundational developer infrastructure.

Lead UX-focused product development for FreeWheel's ad platform: own roadmap, define and improve end-to-end workflows, partner with Design and Engineering, gather user research and analytics, write product requirements, prioritize investments, and measure outcomes to improve AI-enhanced user experiences.

Lead product strategy and delivery for an AI Acceleration team, building centralized agent evaluation and observability frameworks. Partner with engineers, data scientists, designers, and business stakeholders to define, prioritize, and ship scalable, secure LLM/agent-based customer solutions and measurement infrastructure across the bank.

As Product Manager II for AI & Data Security, you'll own the roadmap for AI capabilities, manage security posture, collaborate with engineers and researchers, and engage customers to enhance AI systems security.

Lead investments to optimize database operation, understand customer issues, collaborate across teams, and advance database monitoring capabilities.

The Senior Product Manager will lead the development of AI and data-driven products, enhancing advisor productivity through strategic vision and collaboration with teams.

Lead strategy and roadmap for AI-powered SaaS features; collaborate with engineering, data science, UX, and GTM teams to define problems, run discovery and experiments, manage backlogs, deliver product outcomes, and drive post-launch adoption and performance improvements.

Lead editorial direction, quality standards, and scalable evaluation frameworks for AI-powered content products across MSN and Microsoft surfaces. Partner with product, engineering, and design teams on model evaluation, prompt engineering, trust and safety, workflow improvements, and strategic planning. Drive data-informed decisions, editorial accuracy, content quality, and cross-functional execution for broad audiences.

The Staff Product Manager will design AI solutions for the Firsthand platform, engage with clients to drive product alignment, and communicate strategies to stakeholders.

Lead the strategy, development, and scaling of AI-powered products, workflows, automation tools, and decision-support systems. Own roadmaps, prioritize initiatives, define requirements and success metrics, build prototypes, evaluate AI technologies, and guide solutions through deployment and adoption. Collaborate with engineering, design, operations, stakeholders, and vendors while establishing responsible AI governance, managing risks, and measuring business impact.

Lead the roadmap, development, and rollout of Jerry.ai’s customer-facing Agentic AI platform. Partner with engineering and OpenAI to design prompt strategies, evaluation frameworks, guardrails, voice models, and workflow automation. Translate technical architecture into organizational standards, improve answer quality and automation through experimentation, and balance latency, cost, and accuracy. The role owns the consolidation and advancement of AI capabilities across chatbots, validation, back-office automation, voicebots, computer-use agents, and consumer AI applications.

Own the strategy and execution of Jerry.ai’s AI platform and customer-facing agentic AI products. Responsibilities include consolidating prompts onto a unified platform, prioritizing chatbot initiatives, coordinating engineering and cross-functional teams, evaluating voicebot and computer-use technologies, managing the OpenAI partnership, and shaping ChatGPT distribution. The role combines hands-on prompt engineering, technical architecture discussions, data analysis using SQL, and leadership of scalable production AI products.

Own the strategy and execution of Jerry.ai’s AI platform, including prompt consolidation, chatbot prioritization, platform architecture, and emerging technologies such as voicebots and computer use. Manage the OpenAI relationship and Jerry’s ChatGPT presence while aligning engineering, data, and operations teams. The role requires hands-on AI experimentation, technical systems thinking, SQL analysis, and the ability to translate strategic ideas into scalable, production-grade products.

Own Jerry.ai’s AI platform strategy and technical product prioritization. Consolidate prompts across multiple systems, coordinate engineering and cross-functional execution, evaluate emerging technologies such as voicebots and computer use, manage the OpenAI relationship, and guide Jerry’s ChatGPT presence. The role combines hands-on prompt engineering, AI experimentation, API and architecture discussions, data analysis with SQL, and translating strategic ideas into scalable production products.

Lead strategy and roadmap for AI platform tools, integrations, APIs, gateways, and agentic capabilities. Partner with engineering, data science, and partners to build reusable services, drive GenAI/agentic use cases, define metrics, and balance short-term delivery with long-term scalability and adoption across Amex's digital ecosystem.

Lead product strategy and roadmaps for a unified consumer identity graph and user ecosystem. Drive signal evaluation, metrics and experiments, APIs and platform capabilities, sign-in/consent experiences, and privacy/compliance coordination across partner teams to deliver adoption and revenue impact.

Define strategy and drive delivery for a portfolio of enterprise AI products. Responsibilities include business discovery, AI prototyping, requirements, product execution, evaluation frameworks, solution architecture, governance, responsible AI, executive communication, and cross-functional leadership. The role establishes reusable AI standards, playbooks, and solution patterns while mentoring product leaders and guiding products from concept through production.

Product Manager responsible for advancing FanDuel’s core search and AceAI experiences. Leads multiple autonomous pods, defines problems and priorities, writes product specifications, removes blockers, and coordinates engineers, designers, analytics, and operations. Owns search relevance, query understanding, ranking, filtering, and AI-assisted betting guidance. Uses research, data analysis, competitive insights, and A/B testing to define success criteria, measure outcomes, and improve customer engagement, conversion, and retention.

Lead the vision and strategy for BNY's developer-facing AI products, collaborating across teams to enhance the developer experience and innovation in software engineering.

This role involves supporting the product strategy and delivery of AI-powered experiences, collaborating with cross-functional teams to translate needs into scalable solutions and drive continuous improvement.