Top Product Manager Jobs

Own the strategic vision and roadmap for Coursera’s AI-driven search experience. Lead conversational search, personalization, semantic and multilingual search, ranking, and discovery improvements. Partner with engineering, design, research, data science, ML, marketing, and partnerships teams to deliver scalable platform capabilities. Use experimentation, market analysis, KPIs, and customer insights to improve conversion, merchandising, learner experience, and revenue.

The Product Manager will lead discovery, market research, product strategy, process mapping, and roadmap development for small business lending products. Responsibilities include improving acquisition funnels and customer experiences, building measurement frameworks, analyzing lending and marketing performance, and translating data into actionable recommendations. The role requires cross-functional collaboration with Product Development, Risk, Design, and other teams, along with end-to-end initiative leadership in complex environments.

Owns case-servicing product strategy by identifying high-value opportunities, leading customer-focused discovery and ideation, prioritizing digital servicing experiences, and partnering with product managers, technology teams, and stakeholders on implementation. The role requires cross-functional leadership, rapid domain learning, complex problem-solving, and translating business strategy into consumer-facing digital products.

Own a defined ERP product domain within a cross-functional pod, leading problem framing, PRDs, prototyping, delivery, validation, and post-launch iteration. Translate customer and market insights into product strategy, roadmaps, requirements, and measurable outcomes. Drive AI-assisted product development, including agentic workflows and LLM experiences, while supporting launches, adoption, customer feedback, and stakeholder alignment.

Leads the full lifecycle of reusable payments platform services, from discovery and requirements through launch, adoption, production operations, and continuous improvement. Partners with engineering, architecture, design, analytics, risk, legal, and compliance teams to deliver scalable, resilient, well-controlled capabilities. Owns roadmap prioritization, technical trade-offs, platform adoption, integrations, operational excellence, and measurable outcomes while coaching a high-performing product team.

Own and execute a major Customer Success Platform workstream from problem definition through delivery, adoption, and outcome measurement. Translate business needs into requirements and BRDs, prioritize roadmaps, partner with engineering, lead UAT and release communications, and embed AI-driven automation. Track adoption, usage, ROI, and business impact while communicating strategy and risks to senior executives. Influence cross-functional stakeholders without direct authority and set high standards for product craft and execution.

Own the strategy and roadmap for an ML platform supporting batch inference, real-time serving, and language model hosting. Drive self-service model deployment, monitoring, governance, explainability, reliability, and cost management. Partner with engineering, data science, infrastructure, risk, and compliance teams to accelerate production delivery, define KPIs, and ensure high-quality execution. The role also requires understanding production ML systems, language model operations, observability, responsible AI, and regulated-industry governance.

Own the strategy, roadmap, lifecycle, and adoption of Enova’s internal developer platform. Partner with engineering, Developer Experience, security, and technology leadership to improve developer productivity through portals, environments, shared libraries, deployment tooling, and AI-assisted development. Gather requirements, prioritize initiatives, manage delivery, enable platform adoption, and track experience metrics such as build times, environment provisioning, deployment speed, and developer satisfaction.

Drives product portfolio strategy, roadmap decisions, market research, requirements prioritization, regulatory coordination, and product commercialization for charitable gaming products. Partners with R&D, Sales, Marketing, Manufacturing, Compliance, and customer support throughout development, approval, launch, and post-launch analysis. Develops go-to-market plans, product value propositions, KPIs, training materials, and competitive assessments across emerging and adjacent markets.

Product Manager Interns will conduct user research and competitive analysis, identify product opportunities, define requirements and success metrics, and collaborate with engineering, design, sales, and marketing teams. They will own product initiatives from concept through launch, balancing user needs, technical feasibility, and business impact while improving Cloudflare products and user experiences at internet scale.

Own customer-facing AI product engagements for financial institutions, from discovery and scoping through implementation, rollout, adoption, and measurable business impact. Translate customer needs into requirements, workflow designs, prototypes, and delivery plans; partner with engineers on integrations, data access, permissions, and AI behavior; validate quality; manage stakeholders and scope; and identify reusable capabilities across deployments. The role requires regular onsite customer work and travel.

Own the strategy, roadmap, and lifecycle of an AI product area serving investors and bankers. Conduct customer research, define workflows and requirements, prototype solutions, evaluate AI outputs, and partner with engineering, design, research, sales, and customer teams. Drive launches, adoption, product quality, and measurable business impact while balancing usability, accuracy, reliability, security, latency, cost, and commercial opportunity.

Supports AI-powered and messaging product development by gathering requirements, writing user stories, managing backlogs, analyzing product metrics, monitoring KPIs, and contributing to roadmap initiatives. Collaborates with product managers, engineers, and stakeholders in Agile ceremonies and delivery activities. Researches emerging technologies, develops product documentation, identifies process improvements, and recommends data-driven enhancements to customer experiences and operational efficiency.

Owns the full lifecycle of an assigned GIS product or business system, including discovery, strategy, roadmap recommendations, backlog prioritization, requirements, delivery partnership, user acceptance testing, release readiness, adoption, and outcome measurement. Translates business needs between stakeholders and technical teams, makes day-to-day product decisions, manages dependencies and trade-offs, and recommends roadmap investments within established strategic and architectural guidelines.

Owns product management for Small Business Bank associate servicing, partnering with technology, operations, and business teams to improve servicing tools and customer experiences. The role focuses on understanding associate and customer needs, translating strategy into digital products, leveraging AI, solving complex problems, managing product risks, and leading cross-functional initiatives. Candidates need a quantitative, business, or marketing degree, or a bachelor's degree with at least three years of product management experience.

Leads product management for Capital One’s US Card business, identifying customer value opportunities and delivering innovative digital products. The role requires human-centered design, business strategy, technology-driven solutions, integrated problem-solving, risk mitigation, and transformational leadership across cross-functional teams.

Leads strategy, discovery, delivery, roadmap, and optimization for healthcare medical and dental data products. Owns customer research, prioritization, product outcomes, backlog, adoption, and stakeholder alignment while partnering with engineering, analytics, data science, governance, marketing, and implementation teams. Requires deep healthcare data expertise, experience with cloud data ecosystems and modern architectures, and success managing regulated data products.

Lead the strategy, administration, configuration, and optimization of an enterprise social listening and digital customer care platform. Manage workflows, AI and NLP capabilities, social monitoring, case routing, dashboards, surveys, and CX reporting. Partner with IT, vendors, marketing, customer care, product, and data teams to improve digital SLAs, customer feedback collection, operational efficiency, and executive insights.

Own an Employee Workflows product initiative from customer problem through launch and adoption. Develop value propositions, go-to-market strategies, enablement, customer content, usage metrics, and adoption plans. Gather customer and analyst feedback, influence product roadmaps, support pricing and packaging, and guide strategic sales opportunities. Collaborate across product, engineering, design, marketing, sales, partners, and customers. Apply AI product expertise and HR domain knowledge to communicate value and improve market fit.

Leads product management for payments search and AI products, owning search quality, data lineage, observability, API reliability, product strategy, discovery, roadmap, backlog, launches, and success metrics. Collaborates across system-of-record and cross-functional teams to improve customer value, scalability, resiliency, stability, and risk posture. Requires technical fluency in data lineage, index design, API schemas, and LLM tool use, plus substantial product management experience.

Leads strategy, discovery, roadmap development, requirements, and end-to-end delivery for digital product initiatives supporting Business Banking. Partners with business, design, technology, data, risk, legal, and control teams to deliver scalable, compliant customer experiences. Drives backlog management, product performance improvement, stakeholder communication, and adoption of AI-enabled capabilities and automation. Leads cross-functional teams, resolves complex delivery challenges, and supports agile execution.

Own execution of technical SEO, AEO, site architecture, performance, and social sharing initiatives. Translate predefined strategies into roadmaps, Jira stories, acceptance criteria, and sprint backlogs. Conduct technical audits, staging and production QA, and post-launch performance tracking using SEO tools, SQL, Snowflake, Tableau, and Google Search Console. Partner with engineering, marketing, data science, and design teams while using AI and automation to scale search optimizations across millions of pages.

Own the vision, strategy, roadmap, and delivery of foundational customer experiences for small-business card products. Lead discovery, research, prioritization, experimentation, and end-to-end product development across self-service and assisted channels. Partner with product, design, data, technology, and senior stakeholders to simplify complex account activities, improve self-service adoption, establish success metrics, and deliver scalable solutions.

Owns the lifecycle of technical products within a data domain, including product vision, strategy, roadmap, requirements, backlog, release coordination, and production performance. Partners with engineering, architecture, governance, and business stakeholders to deliver data platform and AI-enabled products. Conducts customer and market research, drives adoption and enablement, resolves execution issues, and supports Agile and DevOps practices. The role requires substantial product management experience plus prior technical experience in software development, solution engineering, or technical architecture.

Owns product discovery, strategy, roadmaps, prioritization, delivery, and adoption for MongoDB’s Source-to-Pay and Travel & Expense platforms. The role partners with Finance, Procurement, Engineering, Data, Security, Compliance, and vendors to improve procurement, invoicing, travel, expense, corporate card, automation, integrations, controls, and reporting workflows. Responsibilities include defining requirements, prioritizing AI opportunities, measuring product outcomes, supporting launches and incidents, and ensuring reliability, auditability, privacy, and compliance.