Top Product Manager Jobs

Owns Retool’s AI monetization, enterprise expansion, and usage-control product strategy. Responsibilities include improving organizational adoption, defining AI pricing and packaging, building metering and billing systems, creating budgets and usage policies, analyzing unit economics, and partnering with engineering, design, finance, sales, and customer success. The role leads projects from customer discovery through launch, adoption measurement, and iteration, with success measured by expansion revenue, AI adoption, predictable customer spending, and sustainable economics.

Own the ArcGIS Earth product vision, roadmap, requirements, releases, pricing, licensing, and go-to-market strategy for enterprise government users. Conduct customer and market research, collaborate with engineering and product teams, support sales and partners, and serve as the subject matter expert for reality mapping, GIS, 3D, and relevant open standards. Present product capabilities and promote adoption across federal and state government workflows.

Owns digital payment products from vision through delivery, serving as the customer and stakeholder liaison. Creates and prioritizes backlogs, user stories, acceptance criteria, and release plans; leads agile development teams; conducts customer and competitor research; coordinates with compliance, marketing, development, call center, and back-office teams; and manages multiple digital platforms. Also responsible for hiring, training, performance reviews, and employee discipline.

Own the strategy, roadmap, lifecycle, integrations, operations, and adoption of marketing technology platforms supporting experience management and directory submissions. Translate stakeholder needs into prioritized features, lead releases and implementations, manage vendors, apply data governance and privacy practices, and drive training, change management, innovation, and platform adoption. The role also mentors team members and supports data-informed product decisions across the global Marketing Technology function.

Own the strategy, roadmap, and outcomes for Forerunner’s Field Intelligence product. Lead discovery and delivery of mobile and web workflows involving AI-guided inspections, offline data capture, geospatial context, and compliance follow-up. Partner with customers, Engineering, Design, Sales, Marketing, and Customer Success to define requirements, validate solutions, measure outcomes, and drive adoption. The role requires shipping trustworthy AI-powered, workflow-heavy B2B software for operationally critical environments.

Own and administer content operations platforms, including workflow and digital asset management systems. Define content lifecycle processes, manage platform adoption and user enablement, oversee vendors and licenses, prioritize business requirements, and develop platform roadmaps. Partner with Marketing, Creative, IT, and agencies on integrations and scalable workflows. Implement AI and automation use cases to improve content production efficiency, platform utilization, and marketing execution.

Leads Electrolux’s North American Last Mile product strategy and cross-functional project execution. Owns the backlog, roadmap, requirements, budgets, schedules, risks, and stakeholder alignment for track-and-trace and order-management processes. Partners with Operations, IT, and third-party logistics providers to deliver technology solutions, manage integrations, support agile sprints and UAT, onboard carriers, provide training, and drive continuous improvement. The role is based in Charlotte, North Carolina, with travel of up to 10%.

Design, build, and optimize no-code AI agents and automated workflows for accounting firms. Collaborate with accounting professionals to identify automation opportunities, translate workflows into automation logic, support client onboarding and training, document best practices, drive adoption, and provide product feedback to engineering. The role requires accounting or finance experience, strong process knowledge, analytical skills, communication ability, and familiarity with no-code automation tools.

Own the Custom Algorithms product end to end, including roadmap, model quality, advertiser launches, diagnostics, and scalable delivery. Partner with data science, engineering, sales, and account management to improve campaign performance, accelerate launches, and drive revenue. Translate machine-learning behavior into commercial outcomes, author product requirements, investigate underperforming campaigns, and lead cross-functional stakeholders. The role requires strong ML literacy, commercial product ownership, analytical independence, and excellent communication.

Build and launch AI-native B2B SaaS products from the ground up. Partner with founders, customers, and engineers to identify high-value problems, prototype solutions, make architectural and product tradeoffs, define success metrics, and iterate rapidly. The role focuses on LLMs, agents, retrieval, workflows, and automation in an early-stage environment, while helping establish product culture and quality standards.