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.

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 end-to-end advanced trading UX for web and mobile, owning roadmap, shipping sophisticated tools for professional traders, driving design excellence, running trader research, instrumenting outcomes, and aligning cross-functional teams to improve speed, precision, and usability.

Lead the Falcon Guide product end-to-end: define roadmap across phased AI/agent features, partner with design, engineering, AI, content and analytics, drive conversion metrics, measure performance, and represent progress to senior stakeholders while scaling a 0→1 product into a personalized, agentic buying experience.

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.

The Lead Product Manager will own the product-led growth strategies focusing on user onboarding, retention, and engagement, leading a team and collaborating cross-functionally.

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 the platform and integrations product strategy for a healthcare behavior-change AI platform. Own decisioning, orchestration, and interoperability (EHR/HIE/CRM/CMS) using standards like FHIR/HL7. Define data flows, identity/consent, and integration requirements. Align cross-functional teams (Engineering, AI/ML, Security, Behavioral Science) around roadmap, mentor product managers, embed compliance and responsible AI, and measure product outcomes tied to adoption and health impact.

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.

Own a single area of the FlowFuse product end-to-end: discovery, roadmap, backlog prioritization, writing precise technical GitHub issues, running refinements with an engineering squad, and shipping customer-focused work. Collaborate with sales, marketing, and engineering; apply domain knowledge (industrial/IIoT a plus) and AI tools to move work forward in a fast-moving startup.

The Lead Product Manager oversees product lifecycle management, leading projects and teams, providing specialized knowledge, and influencing policies within the company.

Own the vision and roadmap for insurance, institutional, and ecosystem products. Drive full product lifecycle from concept to go-to-market, translate complex planning into intuitive experiences, maintain domain expertise, lead and develop product owners, align cross-functional teams, track success metrics, and represent Nitrogen externally.

Lead the Targeting product area: define vision and roadmap, build audience/segmentation and recommendation experiences, partner with Engineering, Data Science, Design and Customer Success, run discovery and experimentation, and measure/optimize product impact to simplify sophisticated targeting for marketers.

Lead the product strategy for Scribd's internal developer and agentic platforms: unify AI workstreams, own internal app/plugin/agent runtimes, translate functional needs into platform requirements, drive cross-functional adoption and metrics, and run internal rollouts and evaluation to prove impact.

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.

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 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.

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 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 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.

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.