Top AI Product Manager Jobs in NYC, NY

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.

Own the vision, strategy, and roadmap for Microsoft Advertising’s AI-powered creative products. Lead creative automation, generative AI asset generation, quality systems, advertiser advocacy, prioritization, cross-functional execution, and go-to-market initiatives. Partner with engineering, data science, UX, marketing, sales, legal, and finance to improve creative performance, adoption, brand integrity, and responsible AI practices across advertising formats and surfaces.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including its Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and metrics, and collaborate across engineering, security, IAM, billing, design, marketing, and partnerships. Lead platform adoption for human and AI-agent developers while representing MongoDB externally and driving ecosystem growth.

Owns an AI agent from customer discovery through production launch and roadmap development for credit unions. Responsibilities include rapid prototyping, customer and executive engagement, enterprise implementations, reusable integrations with core banking, loan origination, and CRM systems, product go-lives, launch sequencing, and transition to scaled operations. The role requires strong product judgment, B2B enterprise experience, hands-on AI work, customer presence, persuasive communication, and approximately 20% travel.

Leads an Agile ecommerce platform team supporting 11 brands across four technology stacks. Owns sprint planning, backlog prioritization, roadmap delivery, conversion optimization, merchandising, checkout, SEO, experimentation, and platform governance. Partners with engineering, UX, marketing, and content teams to translate business needs into product requirements. Tracks ecommerce performance metrics, drives A/B testing, standardizes experiences, and coordinates scalable platform improvements across brands.

Own end-to-end strategy, roadmap, delivery, adoption, safety, and commercial readiness for AI-native cybersecurity products. Conduct customer and partner discovery, lead 0-to-1 launches, define experimentation and evaluation frameworks, and collaborate with engineering, design, sales, finance, and executives. The role requires hands-on LLM product expertise, strong judgment in ambiguous environments, and a focus on trusted AI experiences for security professionals and MSP/MSSP partners.

Own the roadmap, lifecycle, adoption, and reliability of Cyderes’ internal agentic AI harness. Build and evaluate agents and reusable skills, develop prototypes and production code, manage AI tools, and partner with Engineering, Security, UX, and product leadership. Define metrics, safety controls, cost and latency management, rollout plans, and portfolio decisions while improving workflows and operational outcomes.

Owns a SaaS product area from market discovery through roadmap delivery, adoption, retention, and revenue outcomes. The role requires AI-native product management, customer research, KPI ownership, rapid prototyping, cross-functional alignment, and product strategy. Responsibilities include mentoring Product Owners and Product Managers, improving Agile practices, translating customer needs into initiatives, and partnering with engineering, sales, marketing, customer success, and leadership.

Own the roadmap and delivery of AI infrastructure resilience platform features, including telemetry, health checks, attribution, observability APIs, and deployment experiences. Translate developer needs into product strategy, collaborate with engineering on architecture and execution, engage open-source contributors through GitHub, and align product, marketing, field, and engineering teams. The role requires deep technical expertise in AI infrastructure, Kubernetes, developer platforms, or related systems, plus extensive product management or engineering experience.

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.

Own the strategy, definition, and delivery of AI-powered messaging experiences across Web Messaging, Mobile Messaging, WhatsApp, and other channels. Translate customer problems into scalable generative AI, conversational AI, and automation products; use customer insights and production data to prioritize investments; and influence roadmaps across AI, Messaging, Digital Platform, Engineering, Design, Sales, and Customer Success. Drive use cases from experimentation through production adoption and enterprise scale.

Own the strategy, roadmap, and lifecycle of AI-powered creative products for ID Lab and Studios. Build internal production tools and self-serve marketing products for agents, integrating generative AI across text, image, video, and audio. Partner with creative, engineering, design, legal, and brokerage teams to define quality standards, prioritize initiatives, launch products, measure adoption and impact, and scale creative workflows.

Own product strategy and multi-year roadmaps for GPU back-end networking. Translate AI workload needs into requirements, lead products through qualification and deployment, coordinate engineering and business teams, influence suppliers, and improve performance, reliability, cost, observability, and launch readiness.

Own the AI product roadmap, prioritization, accuracy metrics, model and vendor requirements, release planning, and correction feedback loop. Partner with engineering, product, tax, QA, UX, and client success to improve document extraction coverage, accuracy, cost, latency, and filing readiness across K1x products.

Own the post-order product roadmap, improving communications, ticket delivery, AI-powered self-service, agent-assist tooling, customer satisfaction, contact rate, and cost to serve. Partner with Fan Operations, Engineering, Data, Trust & Safety, and Supply to deliver measurable outcomes. Use SQL and analytics to identify customer friction and guide product improvements across marketplace support and ticket fulfillment experiences.

Owns product strategy, roadmap, and execution for AI-powered experiences serving home service professionals. Responsibilities include researching workflows, defining requirements, shaping model behavior and user experiences, prioritizing roadmaps, establishing product and AI performance metrics, coordinating launches, and improving products through customer feedback and analytics. The role partners closely with Engineering, Design, Data, Marketing, Sales, Customer Success, Operations, and AI platform teams.

Own the vision, roadmap, and lifecycle of AI-powered products for consulting and advisory workflows. Translate practitioner needs into scalable solutions involving document intelligence, forecasting, anomaly detection, conversational AI, and generative content. Partner with consultants, data scientists, engineers, designers, and business teams to drive discovery, delivery, adoption, metrics, responsible AI, budgets, and measurable business outcomes. The role is onsite in New York City.

Own Flodesk’s AI product behavior and quality systems across prompt creation, agentic editing, and future marketing workflows. Develop and version prompts, define context and acceptance criteria, build evaluation datasets and rubrics, monitor quality, review traces, diagnose failures, and establish release gates. Translate research, analytics, support feedback, and production issues into priorities and experiments while partnering with engineering, design, marketing, copy, and product teams.

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.

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.

Leads strategy, roadmap, discovery, development, and launches for Stella, ServiceTrade’s agentic AI product suite. Partners with engineering, design, sales, marketing, and customer success to deliver trusted AI capabilities, manage backlogs and UAT, drive adoption, and align product execution with customer needs and business goals.

Owns the strategy, prioritization, requirements, launch, adoption, and continuous improvement of AI-enabled products. Translates ambiguous healthcare, clinical, operational, and business needs into product roadmaps, PRDs, KPIs, and execution plans. Partners with engineering, data, security, compliance, legal, clinical, and operations teams to deliver responsible, secure, compliant, and measurable AI solutions.

Own Litify’s AI Call Intelligence product line end to end, including call capture, transcription, summaries, conversational insights, voice agents, and agentic workflows. Define the roadmap, quality standards, guardrails, and evaluation practices; lead client discovery, beta programs, competitive research, backlog prioritization, and cross-functional delivery. Partner with engineering, design, data science, and go-to-market teams to launch products, drive adoption, and measure outcomes.

Own the strategy, development, launch, and performance of a new AI wedding product from zero to one. Responsibilities include defining the roadmap, market positioning, trustworthy AI behaviors, rapid prototyping, user testing, measurement, unit economics, and use of proprietary marketplace and behavioral data. The role also partners with executive, engineering, design, marketing, and data science leaders to shape company-wide AI direction.

Lead the roadmap and delivery of an AI data platform supporting internal teams and external healthcare products. Manage ML and LLM platform workstreams across data ingestion, training, deployment, monitoring, and workflow optimization. Partner with AI engineers, researchers, data scientists, clinical leaders, and business stakeholders to define requirements, develop user stories, validate model performance, and turn proofs of concept into scalable production capabilities.