Top AI Product Manager Jobs in NYC, NY

Own end-to-end product execution for AI-native experiences, from concept through launch. Shape the roadmap using customer, market, competitive, and business insights; collaborate with Design, Research, Engineering, Marketing, and Analytics; iterate rapidly based on data; and define agentic product experiences that help small businesses automate administrative work.

Own Deepgram’s AI applications product line, including strategy, roadmap, customer definition, acquisition, activation, retention, monetization, and profitability. Lead zero-to-one product development, represent the product with customers and partners, and coordinate research, engineering, design, and marketing. Prototype and validate ideas through real usage and measurement while communicating decisions to executives. The role requires shipped, paid consumer or prosumer products, deep AI application experience, technical depth, design judgment, and strong product leadership.

Leads global AI product strategy and delivery for Salesforce CRM within asset management. Owns discovery, roadmap, backlog, metrics, stakeholder engagement, AI feature evaluation, and product launches. Partners with AI teams, Salesforce, and technology stakeholders on build-versus-buy decisions, proof-of-concept initiatives, sales productivity, and enterprise change. Requires deep Salesforce expertise, AI product management experience, understanding of LLMs, and knowledge of asset or wealth management CRM processes.

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.

Own internal AI and automation products that make Engine’s business functions faster and more scalable. Map workflows, identify high-value repetitive workloads, establish baseline metrics, partner with engineering to build and launch solutions, and drive adoption. The role requires evaluating LLMs and agents, incorporating human review, controlling scope and costs, measuring cycle-time improvements, and transitioning successful workflows to functional owners.

Leads product strategy and adoption for GitLab’s AI-powered software creation experience. Owns the journey from discovery and onboarding through activation, retention, conversion, and expansion across individual developers, teams, administrators, and buyers. Uses customer research, product analytics, funnel and cohort analysis, and experimentation to identify friction, measure outcomes, and improve growth. Partners cross-functionally across GitLab to create a coherent AI Software Factory experience and drive enterprise B2B product-led growth.

Lead the vision, strategy, and execution of Gusto’s conversational AI assistant for small businesses. Expand capabilities across payroll, benefits, HR, and compliance; define integrations and agent-accessible APIs; and partner with engineering, data, design, and research teams. Establish AI quality standards, customer trust principles, and product priorities while shipping incremental improvements quickly.

Lead two enterprise customer pods through voice-agent development, deployment, and handoff while shaping scalable product capabilities. Own evaluation frameworks, analytics, administration tools, and agentic design patterns that improve voice-agent quality and enable repeatable delivery. Partner directly with customers and engineers, translate production learnings into platform roadmaps, and build systems that help customers create and manage reliable voice AI agents.

Owns complex enterprise voice AI customer deployments, leading pod product direction from agent design through production and customer handoff. Drives conversational quality improvements including turn-taking, interruption handling, barge-in, endpointing, latency, and LLM orchestration. Partners with platform teams on real-time voice infrastructure and voice-to-voice models, while productizing customer solutions into repeatable industry assets. Requires deep voice AI expertise, telephony integration experience, enterprise technical deployment experience, and 12+ years in product management.

Leads AI-enabled product transformation for Trusts and Estates Controls. Owns product vision, roadmap, discovery, requirements, delivery, governance, auditability, risk management, responsible AI adoption, and stakeholder alignment across Controls, Compliance, Legal, Operations, Technology, and Data/AI teams. Drives production deployment, adoption, change management, measurable control improvements, and productivity gains.

Define the vision, strategy, and roadmap for Microsoft’s Responsible AI platform. Lead development of capabilities for AI evaluation, red teaming, safety guardrails, risk detection, monitoring, governance, transparency, and compliance. Conduct enterprise customer discovery, translate emerging risks and regulations into scalable products, and coordinate execution across engineering, research, legal, security, compliance, and Microsoft product organizations. Establish success metrics, improve adoption, and represent Microsoft with customers, partners, standards bodies, and industry forums.

Lead strategy and development of Traba’s 0-to-1 AI agent platform for industrial supply chain workflows. The role involves designing autonomous agents, defining product behavior and evaluation frameworks, writing requirements, prototyping with customers, and partnering closely with engineering, ML, design, founders, and early design partners. The ideal candidate has launched customer-facing agent systems, operates effectively in ambiguity, understands AI system tradeoffs, and can drive products from concept through meaningful customer outcomes.

Own the product strategy and roadmap for SEO and AI visibility across thousands of real estate websites. Lead technical SEO foundations, structured data, performance, experimentation, migrations, measurement, and AI citation visibility. Partner with engineering and product teams to establish scalable defaults, safeguards, acceptance criteria, and reporting that improve organic discovery, client conversions, and platform-wide search quality.

Lead NVIDIA’s AI for Quantum product strategy, roadmap, and go-to-market initiatives. Translate AI and quantum research into scalable platforms, developer tools, APIs, libraries, and workflows. Partner with researchers, engineers, quantum hardware companies, institutions, and developers to identify applications across quantum design, control, calibration, error correction, and algorithms. Evangelize the platform through technical communications, identify new AI, HPC, and quantum opportunities, and present product strategy to executives.

Own the direction and delivery of user-facing generative AI products, including AI agent and chat experiences. Understand technical and non-technical users, identify workflow opportunities, prioritize product development, and partner with engineering and infrastructure teams to deliver stable, performant products. Collaborate with Learning and Development and business teams to drive adoption, experimentation, and AI skill development. Evaluate product success through data, cost-benefit analysis, and user research while adapting to industry changes.

Owns a portfolio of AI vendor tools, including Claude, ChatGPT, Copilot, and Gemini. Responsibilities include setting product strategy and roadmaps, gathering requirements, prioritizing enhancements, coordinating integrations and execution, prototyping evaluation dashboards, and driving firm-wide adoption. The role also involves building and managing a support team for vendor tools while collaborating with technical and non-technical stakeholders.

Own the Field First Mobile App and future AI products from discovery through scaling. Responsibilities include field research, roadmap ownership, content governance, AI instruction and guardrail design, question-bank testing, vendor evaluation, requirements, pilot management, adoption, measurement, and executive reporting. The role partners with IT, HSE, Operations, HR, Fleet, vendors, and frontline leaders to deliver trustworthy AI assistance that improves safety support, onboarding, and operational efficiency.

Leads growth strategy, product-market fit, commercialization, and ecosystem partnerships for AI infrastructure and networking products. Develops market analyses, pricing models, business cases, and partnership frameworks across hyperscalers, data centers, colocation providers, OEMs, and infrastructure companies. Collaborates with engineering, finance, legal, sales, and executives to launch and scale fiber, optical, interconnection, and programmable network services. Tracks pipeline, contracts, revenue conversion, and partner performance.

Owns the vision and strategy for an AI product area within Salsify’s PXM platform. Leads customer discovery, AI-assisted research, experiments, pilots, prioritization, and product delivery in partnership with engineering and design. Builds cross-functional alignment, communicates with senior leaders and customers, manages trade-offs, and drives adoption and measurable business outcomes. Requires hands-on experience building with LLMs, agents, and AI tools, plus strong product judgment and 5–8 years of product management experience.

Own JLL’s developer platform spanning CI/CD, developer portals, dependency tooling, infrastructure, observability, governance, and AI agents. Lead engineers and SREs in creating automated pipelines and golden paths that help teams build, deploy, monitor, and govern agents, MCP servers, applications, and services. Work hands-on across product specifications, prototypes, skills, and code while partnering with engineering, architecture, and security leaders. Measure success through production adoption, deployment speed, platform improvements, and backlog velocity.

Owns the roadmap for AI governance and compliance workflows, enabling legal, risk, compliance, and audit teams to create policies, review guardrails, document approvals, and produce audit-ready evidence. The role translates regulations and internal policies into product requirements, leads customer engagements with senior stakeholders, tracks AI regulatory developments, and collaborates with engineering and research. It requires enterprise workflow product management experience, regulated AI governance knowledge, strong communication skills, and customer-site travel.

Own the product roadmap for AI-powered insurance customer experiences, translating strategy into shipped capabilities. Responsibilities include stakeholder and demand management, problem framing, success-metric definition, data-driven analysis, user experience collaboration, prioritization, and cross-functional execution. The role also involves experimenting with Generative AI and agentic technologies and responsibly scaling successful concepts into production.

Own the product strategy and roadmap for advisor communication channels, contact center migration, live transcription, AI copilot coaching, conversation intelligence, follow-up workflows, and compliance. Define measurable outcomes, lead experimentation, and partner with engineering, data, sales, operations, and compliance to improve connection rates, advisor efficiency, and move-in rates.

Own the vision, roadmap, and customer experience for a GPU cloud infrastructure platform. Define provisioning, capacity, scheduling, networking, storage, workload execution, APIs, pricing, and consumption models. Partner with engineering, operations, sales, finance, customers, and executives to improve reliability, utilization, performance, and adoption. Use product and infrastructure data to guide tradeoffs and lead products from discovery through launch and iteration.

Leads strategy, roadmap, development, and adoption of AI-powered enterprise workflow products across HR, Finance, Procurement, and related functions. Identifies scalable AI and automation opportunities, translates business needs into product capabilities, partners with engineering and platform teams, manages the full product lifecycle, and drives adoption, metrics, executive communications, and measurable business outcomes.