Top Product Manager Jobs in Philadelphia, PA

Own the strategy, roadmap, and execution of Dave’s promotions and engagement products. Lead ML-driven personalization, experimentation, promotion targeting, app engagement surfaces, and retention initiatives. Partner closely with Engineering, Data Science, Marketing, Operations, Growth, and senior leadership to deliver measurable outcomes. The role requires quantitative rigor, product judgment, technical fluency, and experience building engagement, retention, or loyalty programs in high-volume B2C technology environments.

Own the end-to-end strategy and roadmap for ExpertApply, an AI-powered job application automation product. Lead mobile-first growth, experimentation, funnel optimization, retention initiatives, and revenue growth. Partner with Engineering, Design, Marketing, Analytics, and leadership to develop features based on market trends, user research, competitive analysis, and quantitative metrics.

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 RMIS product roadmap, strategy, backlog, and Agile delivery. Partners with Engineering, stakeholders, marketing, and operations to define requirements, prioritize features, support Scrum execution, and ensure quality delivery. Uses data, analytics, experimentation, and AI-assisted techniques to identify opportunities, prototype solutions, guide decisions, and develop responsible AI-enabled features. Acts as the product subject matter expert and supports strategic planning, client responses, and product lifecycle activities.

Leads and mentors Product Managers and Product Analysts responsible for RMIS products. Defines product vision, strategy, and roadmaps; uses customer research, competitive analysis, KPIs, experimentation, data, and AI-assisted tools to guide prioritization and delivery. Partners with design, architecture, marketing, and business stakeholders to launch solutions, ensure SDLC alignment, and deliver customer and commercial outcomes. Oversees team development, performance evaluations, and responsible AI adoption across the product lifecycle.

Leads and develops a team of Product Managers and Analysts responsible for Claims products. Defines product vision, strategy, and roadmaps; uses customer insights, competitive research, data, experimentation, and AI to guide prioritization and delivery. Oversees SDLC alignment, product KPIs, cross-functional rollouts, stakeholder communication, and team performance. Requires strong product leadership, analytical and communication skills, software development lifecycle knowledge, and preferably Risk Management or P&C Insurance experience.

Leads and mentors Product Managers and Product Analysts across GRC products, setting product vision, strategy, and roadmap priorities. Oversees customer research, competitive analysis, AI adoption throughout the SDLC, experimentation, KPI measurement, and cross-functional product delivery. The role advocates for customers, ensures alignment across roadmaps, promotes innovation, and manages team development and performance evaluations.

Own the core mobile app and AI coaching product roadmap, leading features from concept through launch. Partner with engineering, design, data science, enrollment, and EHR teams to improve member outcomes. Use user research, experimentation, analytics, and market insights to define product requirements, measure success, and guide decisions. The role requires experience shipping consumer mobile and AI-powered products, responsible AI practices, and familiarity with healthcare, behavior change, or older-adult populations.

Own product areas for KIRA’s AI stockbroking and financial services applications. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, use research and feedback to guide iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Own Prendio’s data product strategy from discovery through commercialization. Define valuable data assets, build the roadmap, validate customer needs, develop packaging and pricing, and launch revenue-generating products. Partner closely with engineering, analysts, data teams, sales, and marketing; prototype concepts independently; manage delivery; and address privacy, contractual, regulatory, and data-rights constraints. The role initially focuses on biotech customers and may expand to supplier-side products.

Own the CRO and supplier-side product strategy from discovery through delivery. Conduct customer research, validate market opportunities, define commercial models, prioritize investments, and build a phased roadmap. Partner closely with CRO business leadership and collaborate with engineering, data, sales, product development, and client-facing teams to turn strategy into products with meaningful revenue potential.

Supports regional commercial performance for the atomic spectroscopy product line. Provides technical and commercial expertise to sales teams, leads competitive responses, localizes product launches, delivers sales training, manages beta programs, gathers market intelligence, supports customer demonstrations and strategic accounts, and feeds regional customer and competitive insights into central product strategy. Requires extensive regional travel and strong scientific instrumentation knowledge.

Own the strategy, roadmap, business performance, and value delivery for WebCenter PLMS, an enterprise SaaS product serving regulated Life Sciences customers. Translate customer and regulatory needs into prioritized requirements, initiatives, and product investments. Lead discovery, business cases, launches, adoption, pricing, positioning, partnerships, and cross-functional alignment with Product, R&D, Sales, Marketing, and regional teams. The role is remote within the US Eastern time zone, with approximately 10% travel and an onsite immersion program.

Own product areas for an AI-powered neobank across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to drive continuous product improvements.

Own TLDR’s Applied AI product function, triaging requests, translating business problems into build-ready specifications, redesigning processes into agentic workflows, and managing the roadmap and lifecycle of internal command centers and tools. The role partners with strategy, operations, and AI engineering teams, prioritizes automation opportunities, drives adoption, and helps shift company work from manual processes to AI-enabled workflows.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use data, research, feedback, experiments, and production issues to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial workflows; analyze feedback and performance; and continuously iterate while balancing speed, user experience, business impact, compliance, and operational complexity.

Owns the strategy, roadmap, development, and adoption of financial data products and APIs. Partners with data science and engineering to integrate predictive and machine-learning models into scalable, trustworthy capabilities. Defines quality metrics, requirements, documentation, and support models while ensuring privacy, security, regulatory compliance, and downstream adoption across consumer and business banking products.

Own product areas within BJAK’s AI Stockbroking and broader financial services portfolio. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate based on data, research, feedback, and production issues. Balance speed, user experience, business impact, compliance, and operational complexity.

Own multi-year product vision and roadmap for Coinbase's core cloud infrastructure and reliability. Define SLOs, capacity planning, failover, and incident reduction targets; evaluate and adopt technologies (Kubernetes, service mesh, IaC, observability); build self-serve platform capabilities; partner with Engineering, SRE, Security, and Finance to optimize cost, compliance, and performance; translate infrastructure metrics into executive investment cases.

Own the internal AI enablement product experience across Finance, RevOps, People, Recruiting, Customer Success, Marketing, and Legal. Map workflows, identify high-value automation opportunities, build and ship agentic tools, establish evaluation and production processes, measure adoption and ROI, and drive responsible adoption through workshops, onboarding, office hours, and coaching.

Own product areas within AI Investing and related financial services, defining user problems, product direction, roadmaps, metrics, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, use data and feedback to drive iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Manage the Ads product and platform lifecycle, define AI strategies, drive measurement and insights, and lead a PM team for performance marketing.

Lead AI-driven localization product initiatives from concept through production. Build strategic roadmaps, incubate machine-learning capabilities, partner with researchers and engineers, and deliver scalable tools for creators and content operations. Translate user needs into impactful products, communicate strategy to executives and nontechnical stakeholders, and use data, experimentation, and ML evaluation to prioritize work and measure outcomes.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use research, feedback, experiments, and performance data to iterate rapidly after launch.