Top Remote Product Manager Jobs in Milwaukee, WI

Own end-to-end launches and product upgrades across global markets. Coordinate Product Development, suppliers, Supply Chain, Ecommerce, Marketing, Sales, Compliance, and country teams to achieve launch readiness. Manage milestones, dependencies, risks, quality gates, documentation, inventory, Shopify setup, training, testing, and go/no-go decisions. Improve launch processes through retrospectives, risk tracking, SKU transitions, and installation manual quality improvements.

Lead internal product for Quote-to-Cash and Finance systems, owning multi-quarter roadmaps, translating stakeholder needs into system requirements, mentoring BSAs, driving program delivery (UAT through stabilization), and partnering on architecture and integration decisions across Salesforce CPQ, Zuora, NetSuite, and CDot.

Lead product vision and multi-year roadmap for Coinbases Compliance Automation platform. Manage PMs to deliver AI/ML-powered sanctions screening, transaction monitoring, suspicious activity detection, and risk-based workflows. Partner with Compliance, Legal, Engineering, and Data Science to scale automation, reduce manual effort and cost, maintain regulatory compliance, and integrate emerging AI technologies.

Lead a team of product managers to define and execute finance transformation and automation across accounting, treasury, reconciliation, and financial reporting. Drive roadmap, stakeholder alignment with finance and engineering leadership, ensure SOX-compliant change management, and identify AI-driven opportunities for scalable finance infrastructure.

Lead multi-year strategy, product architecture, and monetization for MongoDB's distributed query engine. Drive cross-functional alignment, engage senior customers, mentor PMs, shape investment priorities, and represent the product externally at conferences and standards bodies.

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.

Own the EHS product strategy, 12-month roadmap, feature backlog, and Agile delivery process. Translate customer and business needs into requirements, prioritize releases, support Scrum teams, validate software quality, and partner with stakeholders, Engineering, Marketing, and Operations. Lead AI-informed discovery, experimentation, prototyping, governance, and responsible implementation while using data and analytics to guide decisions and optimize product outcomes.

Owns the GRC product strategy, 12-month roadmap, feature backlog, and Agile delivery process. Partners with Engineering, stakeholders, marketing, and operations to translate business needs into requirements, prioritize development, validate software quality, and deliver customer value. Uses AI-assisted tools, data analytics, experimentation, and responsible AI practices to guide discovery, prototyping, prioritization, and product improvement.

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 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.

Lead and scale Elite’s Financials product category across accounting, budgeting, invoicing, payments, and regulatory reporting. Own product vision, strategy, roadmaps, execution, KPIs, and customer outcomes while mentoring Product Managers and Business Analysts. Align engineering, design, sales, marketing, customer success, and data science teams; drive adoption, revenue growth, innovation, and operational excellence. Engage customers and executives, manage ambiguity, and ensure products meet enterprise financial, compliance, and legal technology needs.

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.

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.