Top Product Manager Jobs in New York City, NY

Own execution of talent data products supporting recruiting, onboarding, offboarding, and workforce planning. Conduct discovery, define requirements, manage backlogs, coordinate delivery, and evaluate product metrics. Partner with BI, AI/ML, information architecture, and data engineering teams to develop governed, high-quality datasets. Lead data onboarding, cataloging, metadata, lineage, governance, lifecycle management, and quality practices while translating stakeholder needs into data product capabilities.

Leads product strategy, vision, discovery, market research, roadmap development, backlog management, and success metric tracking for payments data and analytics products. Acts as the customer voice, guides end-to-end product lifecycle activities, drives launches, manages stakeholders, and ensures scalable, resilient, reliable solutions. Requires expertise in data or AI product management, analytics, product development, and hands-on data solution development using technologies such as Python and SQL.

Leads Client360 product strategy, discovery, roadmap, backlog, metrics, and lifecycle execution. Drives business initiatives, process improvement, operational efficiency, stakeholder alignment, and cross-functional delivery across banking functions. Uses analytics, machine learning, and AI to generate insights, while guiding launches, managing risk, improving platforms, and mentoring junior team members.

Leads product management for Small Business Bank associate servicing, partnering with technology, operations, and business teams to improve servicing tools and resources. Drives customer-centered product strategy, AI-enabled associate experiences, technology solutions, cross-functional alignment, and execution. Requires product management experience and familiarity with modern data environments such as data lakes, Snowflake, APIs, and streams.

Own the strategy and operating model for self-optimizing paid marketing systems. The role connects paid-growth channels, audiences, creative, measurement, experimentation, automation, and AI agents to improve acquisition efficiency and user quality. Responsibilities include establishing experimentation workflows, interpreting geo and cohort signals, managing paid spend, improving measurement, guiding agentic infrastructure, and partnering cross-functionally with Growth, Marketing, BizOps, Strategy Finance, and Ecosystems.

Own outbound product strategy for Workflow Data Fabric and RaptorDB Professional. Develop positioning, messaging, use cases, competitive differentiation, launch strategies, sales enablement, demos, and customer-facing content. Engage enterprise customers, executives, analysts, sellers, and partners through briefings, events, webinars, and strategic deals. Translate complex data, analytics, integration, platform, and AI capabilities into customer value while using market feedback to influence roadmaps, adoption, and go-to-market execution.

Own a product area for an agentic private fund management platform, defining its vision, strategy, roadmap, metrics, and customer outcomes. Partner with engineering and design from discovery through launch and iteration. Work directly with customers, design trustworthy AI-agent workflows over deterministic systems, conduct evaluations, and use AI to accelerate product development. Collaborate with Implementation, Customer Success, and Sales to improve onboarding and customer value.

Own the roadmap, lifecycle, adoption, governance, and performance measurement of GTM data products and sales productivity tools. Partner with Sales, Customer Success, Engineering, Data, and Enablement teams to define requirements, evaluate build-versus-buy decisions, integrate Salesforce and other GTM systems, and launch AI-powered capabilities. Establish product operating standards, measure ROI and adoption, improve data quality, and drive tooling investments across the sales and customer success organization.

Own the roadmap, architecture, tooling, evaluation standards, and business logic for Applecart’s Decision Maker Networks platform. Lead data scientists and engineers, translate client and user needs into platform capabilities, define scoring and testing frameworks, enable expert self-service experimentation, manage launches, and track KPIs. The role requires strong product judgment and experience shipping data, machine learning, or algorithmic products.

Own product direction for CAIS’s Core Platform, including IAM, enterprise authentication, firm and user administration, learning systems, and shared services. Lead platform modernization, authentication roadmap, regulatory identity workflows, backlog prioritization, and delivery with engineering. Define boundaries between platform and consuming teams, translate technical trade-offs for stakeholders, and partner with Compliance, Legal, and engineering leadership on strategy, resourcing, and sequencing.

Own the product strategy and roadmap for front and middle office derivatives workflows. Design processes connecting trade capture, lifecycle events, valuation, exposure, margin, collateral, settlement, accounting, reporting, and reconciliation. Translate client, market, and regulatory needs into product and data requirements, user stories, and acceptance criteria. Partner with engineering, design, sales, clients, and quantitative teams to deliver and improve derivative products.

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.