Top Product Manager Jobs

Own a company-level strategic product bet from concept through adoption: define strategy and metrics, build executive conviction, design AI-native workflows, run analyses and prototypes, ship cross-project outcomes, improve org shipping practices, and mentor other PMs.

Manage multiple product lines, ensuring profitability and compliance. Oversee product implementation, marketing strategies, and financials while evaluating market trends and risks.

The Product Manager oversees product development from conception to release, collaborates on strategy, conducts market analysis, and ensures compliance with regulations.

The Product Manager oversees product development from definition to end of life, collaborating with teams to manage projects, market analysis, and compliance.

The Staff Product Manager at ClickUp drives vision across product areas, prototypes workflows, mentors PMs, and aligns strategies while leveraging AI tools.

As a Product Manager, you will develop strategies for market fit and oversee the delivery of product iterations, engaging with community and industry partners.

The Staff Product Manager will define and implement strategies for builder experiences in automation, focusing on user-centric design and AI integration, while leading cross-functional teams to enhance productivity and satisfaction.

Lead growth for WorkOS across acquisition, activation, monetization, expansion, and retention. Define metrics, run experimentation, improve onboarding and time-to-value, identify friction, prioritize high-impact opportunities, and partner cross-functionally with Engineering, Design, Marketing, Sales, Data, and Finance to drive enterprise adoption and business outcomes.

The Platform PM defines the core platform needs, prioritizes work, oversees capability graduation, and ensures high-quality, reliable infrastructure for deployment across AI systems.

The Forward Deployed Product Manager is responsible for driving enterprise deployments, building relationships with senior stakeholders, and translating customer needs into actionable product direction. This role requires managing product outcomes and operational challenges while ensuring successful integration and implementation of AI solutions within large organizations.

Develops and manages personal lines insurance products, pricing, underwriting guidelines, and state-specific portfolios. Evaluates profitability, loss ratios, market trends, regulations, and competitive opportunities; coordinates rate reviews and product implementations; audits field underwriting; manages vendors; supports underwriting teams; and communicates product changes to agencies and internal stakeholders. Uses data analysis and predictive modeling to improve pricing, compliance, production, and profitability.

Own the Intelligence and Applied AI product area for an AI automation platform. Define benchmarks, evaluation frameworks, and production quality standards; guide model experimentation and determine which capabilities ship. Partner with engineering on platform development, observability, and monitoring, establish operating processes, and enable sales and customer success to communicate AI capabilities accurately.

Own the roadmap and delivery of Habitat Health's data products and infrastructure. Serve as the bridge between Product and Data, perform discovery, write technical specs, run sprints, do hands-on SQL/Git validation, design and ship dashboards, triage ad-hoc requests, and use AI tools to accelerate work across platform, integrations, and reporting.

Lead product discovery, strategy, and execution for advisor-facing features in a high-growth fintech. Identify market opportunities, build roadmaps, write specs, run experiments, partner with engineering and design, and measure product success with metrics and customer feedback.

Own the full growth funnel from first visit to qualified sales conversation. Improve acquisition via website and trial, build self-serve flows, define buying signals, run experiments, own funnel analytics and attribution, and collaborate with Sales on deal feedback.

Define strategy and priorities for organizational intelligence products that connect fragmented workplace context across conversations, tools, teams, and time. Lead customer discovery, problem framing, prototyping, product launches, measurement, and iteration. Partner with Engineering, Design, Data Science, Enterprise, Platform, and go-to-market teams to create trustworthy AI experiences emphasizing relevance, provenance, privacy, permissions, and customer control.

Own the vision, strategy, and roadmap for Mercury’s reconciliation platform. Partner with Engineering, Finance, Accounting, Operations, and Product teams to automate workflows, strengthen financial controls, improve auditability, detect and resolve discrepancies, and scale unified reconciliation tools. Drive ambiguous initiatives from definition through delivery while balancing immediate operational needs with durable platform solutions and making informed technical and product tradeoffs.

Lead product for workflow-focused AI features in a B2B SaaS insurance platform. Partner with users, GTM, and engineering to design, ship, and measure intelligent workflow automation, pilot deployments, and expansions to reduce manual effort and build trust in AI recommendations.

Lead GEICO’s IVR and conversational AI product strategy, roadmap, and lifecycle. Drive voice experience design, self-service adoption, containment, analytics, and customer satisfaction through cross-functional collaboration with engineering, design, operations, and business teams. Responsibilities include market research, feature prioritization, platform architecture influence, IVR performance optimization, analytics implementation, and integration of NLP, voice biometrics, and AI-powered intent recognition.

Own the strategy, vision, roadmap, discovery, execution, and measurement of workplace management and employee engagement products. Partner with Engineering, Design, Research, Marketing, Sales, Customer Success, and Support to identify customer problems, prioritize opportunities, leverage AI-enabled workflows, deliver product capabilities, and measure customer and business outcomes.

Lead the vision, strategy, roadmap, and end-to-end lifecycle for AI-driven enterprise applications in the legal technology domain. Guide development of production-ready AI, LLM, and agent solutions; optimize transactional workflows; and collaborate with engineering, data science, design, marketing, sales, and customer success. Ensure products meet high standards for security, usability, reliability, and quality while communicating progress and aligning stakeholders.

Lead identification, development, and go-to-market of innovative products and embedded enhancements. Conduct customer discovery, market research, and competitive analysis. Translate needs into requirements, run pilots and launches, measure product performance, support pricing/RFPs, and collaborate cross-functionally to align roadmaps and drive adoption.

Own the Private Equity vertical of the GP product: define vision and roadmap, engage clients to gather use cases, prioritize features with engineering, and deliver scalable SaaS solutions using AI/LLM tools. Serve as domain expert on PE valuation and portfolio monitoring workflows and drive market-facing product presentations.

Lead product strategy and execution for Vectara’s enterprise AI platform. Own the roadmap, customer discovery, competitive intelligence, packaging, pricing, product definition, and market positioning. Coordinate Product, Engineering, ML, Sales, Marketing, and Field Engineering to deliver successful launches and customer outcomes. Represent the company in customer meetings, analyst relations, and field marketing events while translating market needs into differentiated product initiatives.

Own the vision, strategy, and roadmap for CoinMarketCap’s on-chain data products. Responsibilities include writing product requirements and user stories, analyzing qualitative and quantitative data, collaborating with business, IT, and design stakeholders, evaluating launched features, and assessing competitors and partners. The role focuses on improving on-chain data infrastructure and integrating internal and third-party tools to create valuable products for cryptocurrency users.