Top Lead Product Manager Jobs in Denver & Boulder, CO

Lead end-to-end product strategy and roadmap for a centralized digital mortgage platform, driving consumer financing tools, lender integrations, data-validated leads, and seamless application workflows. Partner with engineering, design, and vendors to deliver measurable conversion and revenue outcomes while ensuring compliance, technical quality, and operational rhythms.

Leads strategy, modernization, and execution across multiple public safety SaaS products or initiatives. Defines portfolio roadmaps, pricing, positioning, and business cases; partners with Engineering, Design, Sales, Marketing, and customer teams; drives AI and analytics adoption; oversees complex cross-functional delivery; represents the portfolio with executives and customers; and mentors product professionals.

Lead the Data Sources product roadmap for document parsing, fraud detection, and bank aggregation. Drive metrics (parse accuracy, fraud catch rate, connection success, SLAs), write specs, engage clients, mentor PMs/engineers, and represent the platform externally. Prioritize document types, extraction models, reliability, and scalability to improve conversion, client satisfaction, and operational efficiency across mortgage, tenant screening, and government use cases.

Lead product strategy and roadmap for claims automation, defining where AI and deterministic logic apply. Design human-in-the-loop workflows, audit trails, evaluation frameworks, and metrics. Lead cross-functional teams to deliver integrations, migrations, and AI-powered features while navigating regulatory constraints and measuring performance with data-driven experiments.

Lead the recommendations product across candidate generation, ranking, and presentation for Scribd. Define multi-year strategy and metrics, translate retrieval and ranking research into production, run experiments to improve engagement and conversion, partner with ML, engineering, design, and analytics, and communicate roadmap and impact to stakeholders.

Lead product strategy and roadmap for a unified data platform, spanning ingestion, modeling, and an intelligence layer. Partner with engineering and data science to deliver cloud-native pipelines, curated analytic models, and ML productization. Drive governance, metrics, cross-functional alignment, backlog management, and Agile practices to maximize platform value for internal teams and clients.

The role involves driving product features from research to execution, using AI tools, collaborating with design and engineering teams, and advocating for customer experience improvements.

Lead end-to-end product strategy and execution for data and integrations so partner schools reliably send complete CRM data. Own roadmap, reliability, activation, partner/vendor relationships, and cross-functional work to increase data coverage and scale integrations across multiple CRMs.

Lead product strategy and development for cryogenic systems in quantum computing. Oversee R&D, cross-functional collaboration, and market analysis to drive competitive products.

Lead Wikimedia Foundation’s product security strategy, prioritize security and privacy engineering initiatives, develop platform interventions against threats, strengthen organizational security culture, and communicate with Wikimedia communities. The role partners with cross-functional and departmental leaders on information security, represents the Foundation to volunteers, and applies AI-based tools to security analysis, code review, and software engineering. Prior product management experience is not required, but strong technical, security, communication, and online-community experience are important.

Lead strategy and execution for Scribd's Search product, defining multi-year roadmaps and metrics, partnering with ML, engineering, design, and analytics to ship ML-driven retrieval and ranking features that improve relevance, engagement, and conversion across large-scale consumer surfaces.

Lead and execute product strategy for Everyday Money: define product thesis and roadmap, ship product lines, run AI innovation lab for agentic consumer experiences, manage and develop PMs, partner with design, Credit, and external partners, and own business economics and compliance for durable retention and monetization.

Lead product-led growth across the consumer app: define growth thesis and routing frameworks, prioritize graduation and monetization journeys, run experiments and A/B tests, align product-area leaders, partner with Credit and product teams on pricing and pipeline, and drive activation, retention, conversion, and cross-product adoption.

Lead the consumer platform roadmap to enable front-end squads to move faster and more reliably. Drive API consolidation and monolith decomposition into domain-driven services, partner with senior backend engineers on contract and architecture design, manage migration and deprecation without disrupting consumers, and measure platform adoption and downstream velocity, reliability, and conversion.

Own and deliver advisor-focused product workflows (portfolio analytics, performance, options, bonds). Lead discovery with users and data, write PRDs, partner with engineering and design, balance correctness and usability, and be accountable for outcomes from problem definition through launch.

The Senior Product Manager for the First-Party Data Platform will lead the development of web data collection tools, enhancing user experience and data quality through AI-driven solutions.

The Lead Product Manager at Benepass will own a key product area, drive strategy and execution, and collaborate with cross-functional teams to enhance employee engagement with benefits.

Lead AI product strategy and execution at Sidecar Health, focusing on AI-member experiences for healthcare. Drive development of AI features, evaluate AI product quality, and manage cross-functional teams to enhance healthcare shopping and transparency.

Lead product vision and roadmap for Tekion's Automotive CRM, translate dealer and partner needs into product requirements, define AI/LLM-enabled CRM capabilities, collaborate cross-functionally to deliver SaaS CRM features, create product artifacts, measure success metrics, and prioritize initiatives to drive adoption and strategic account success.

Lead product strategy and roadmap for PeopleGrove's CORE platform. Define and prioritize epics and features, partner with engineering and design from discovery through delivery, build domain expertise in clinical education and accreditation, and support go-to-market readiness with customer success and marketing.

Own the acquisition product roadmap and engineering priorities to drive durable user growth. Define target audiences and channel mix, build product-driven acquisition mechanics (referrals, growth loops), enable channel effectiveness (discoverability, search/AI readiness, integrations, tracking), test new acquisition tactics, and align product investment with Performance Marketing, SEO, Partnerships, and Brand while measuring long-term subscriber value.

Lead product strategy and execution for data and AI platforms, driving GenAI/LLM initiatives, cross-functional collaboration, responsible AI governance, experimentation (A/B testing), measurement of model impact, and mentoring product teams to embed scalable ML capabilities into clinical and member experiences.

Manage SKU-level launch readiness for NeoStrata and Exuviance projects: track GCC/APR deliverables, coordinate cross-functional stakeholders, identify and escalate product availability risks, run governance forums, maintain status documentation, and drive projects through implementation and launch milestones.

Lead the digital product vision and roadmap for mobile-first and responsive experiences. Lead discovery, prioritize investments using analytics and customer insights, drive platform capability evolution, partner cross-functionally with Design, Engineering, Operations and Analytics, and manage delivery, documentation, and success metrics across multiple workstreams.

Lead growth strategy and execution for UpToDate Expert AI across awareness, acquisition, activation, and early engagement. Drive cross-functional initiatives with marketing, sales, engineering, and data teams to improve discovery, onboarding, and activation. Define OKRs, measurement frameworks, run experiments, and translate clinician insights into product and go-to-market actions while balancing clinical, privacy, and regulatory constraints.