Top Principal Product Manager Jobs in Denver & Boulder, CO

Lead AI product strategy and roadmap for Spectrum News. Translate editorial and business needs into product requirements, collaborate across teams, guide development of personalization, recommendations, discovery, and newsroom productivity AI features, ensure responsible AI governance, measure impact with analytics, and communicate vision to stakeholders.

Own the strategy and roadmap for patient-provider search, retrieval, ranking, and marketplace matching. Lead experimentation, objective functions, evaluation, and ML platform foundations while partnering with ML engineers, data scientists, design, clinical teams, and executives. Improve successful, lasting care matches rather than optimizing only clicks or bookings. Balance patient access, provider growth, clinical quality, and payer priorities, while setting the standard for technically grounded product management.

Own the enterprise data platform roadmap and self-service experience for domain data teams. Define capabilities spanning catalogs, semantic layers, observability, access management, lineage, certification, and documentation. Conduct discovery with technical stakeholders, create governed paved paths and tooling, drive platform adoption, measure outcomes, and partner with Data Engineering, Platform, and Governance teams. Ensure data products remain discoverable, interoperable, and scalable as Toast’s domains mature and operate more independently.

The Senior Product Manager will own the strategy and execution of Toast's configuration platform, collaborating with engineering, design, and customer teams to enhance the user experience and support diverse business needs.

Lead end-to-end product strategy and execution for Fusion's enterprise SaaS platform with a focus on GRC/TPRM. Translate customer and market insights into roadmaps, integrate AI-native capabilities, drive KPIs for adoption and revenue, collaborate with engineering and GTM teams, and own strategic product initiatives from discovery through delivery.

Lead end-to-end product development of enterprise-grade AI-powered healthcare solutions (generative AI, LLMs, RAG, automation). Drive roadmap, customer validation, cross-functional execution, measurable adoption, and business outcomes while mentoring product practices.

The role involves owning personalization and discovery features at Babylist, using ML systems for product recommendations and user engagement, while collaborating with engineering teams to enhance customer experience.

Lead the Cloud Platform product team to replace and unify Dragos's customer portals into a single platform. Define platform and API architecture, integrate threat intelligence, managed services, AI, and compliance features, manage artifact delivery and entitlement, drive adoption and migrations, partner with engineering and stakeholders, engage customers for validation, track KPIs, and support go-to-market efforts.

Set the vision and roadmap for AI-powered skilling products, translating customer insights into measurable learning experiences. Lead prioritization across content, platform, telemetry, privacy, cost, and compliance; partner with Design and Engineering to launch trustworthy LLM-powered features. Drive product quality, experimentation, adoption, retention, enterprise partnerships, and cross-functional execution across multiple squads.

Leads enterprise-wide analytics engineering product strategy and service delivery. Builds vision, consensus, and high-performing teams while managing priorities, escalations, bottlenecks, trade-offs, and continuous improvement. Partners across business and technical teams to balance customer needs, resources, and technical constraints. Coaches and develops the organization while advancing analytics platforms, data management, and innovative capabilities.

Lead product strategy, roadmap execution, discovery, and delivery for Records Request Management and FOIA solutions. Define AI-enabled capabilities such as document discovery, automated redaction, classification, workflow optimization, and self-service. Partner with engineering, design, security, compliance, legal, sales, and customer teams to deliver secure, compliant products for federal and regulated public-sector customers. Translate FOIA and records-access requirements into product outcomes while supporting adoption, growth, and market expansion.

Lead product vision, strategy, roadmap, and measurable outcomes for AI-native software engineering workflows and agent capabilities. Identify high-value opportunities across the software lifecycle, evaluate emerging AI tools and platforms, and guide capabilities from experimentation through production adoption. Partner with engineering, design, research, and product teams on architecture, developer productivity, platform investments, and risk management while influencing cross-organizational stakeholders and mentoring product managers.

Lead product strategy, roadmap, and delivery for AI-native security experiences. Partner with engineering, security research, design, and data science teams to translate emerging technologies into customer value. Establish operational readiness practices covering release governance, risk management, quality reviews, incident learning, executive readiness, onboarding, adoption, and partner success. Drive complex cross-organizational programs and ensure scalable, reliable launches and measurable customer outcomes.

Own the end-to-end Service Experience product strategy and roadmap for a two-sided home-services marketplace. Lead AI-powered customer and Pro support, evaluation systems, trust and conflict-resolution policies, and AI-driven experience innovation. Own Contribution LTV and brand-promise metrics, prototype with LLMs, analyze transcripts and data, and influence senior leaders and cross-functional peers without direct reports. Success includes scaling high-quality AI resolution, improving profitability and service outcomes, and delivering an AI experience proof of concept.

Own product direction, roadmap, priorities, and outcomes for an AI platform serving contractors. Lead customer discovery, product strategy, requirements, launches, measurement, and iteration while partnering closely with leadership, engineering, and customer-facing teams. Make evidence-based product decisions, prototype with AI tools, manage technical tradeoffs, and establish scalable product management practices in an early-stage company.

Own AI agent evaluation frameworks and deployment across Core Financials. Lead benchmark development, customer and ecosystem discovery, API and data-service integrations, cross-agent standards, and scalable self-service product frameworks. Partner with engineering, UX, research, finance leaders, and audit firms to translate requirements into production capabilities. Manage feature delivery, resolve technical dependencies, align stakeholders, communicate results to executives, and support monetization of Workday’s Financials AI portfolio.

Lead product vision and strategy for an end-to-end AI-powered software factory. Integrate planning, coding, review, and verification across GitLab Duo Agent Platform and product areas. Collaborate with engineering, design, and GTM teams, identify gaps and dependencies, present recommendations to executives, and drive execution to deliver cohesive developer workflows.

Lead the multi-year vision, strategy, and roadmap for Akamai Cloud developer tooling. Oversee APIs, CLI tools, SDKs, Terraform providers, API Gateway capabilities, and AI-first developer workflows. Partner with engineering on API standards, schema governance, platform performance, authentication, and traffic management. Modernize enterprise APIs, manage breaking changes, and unify developer experience across cloud platforms.

Lead AI Observability product from vision through GA and post-GA growth. Own roadmap, business outcomes (adoption, retention, expansion), pricing, and exec reporting. Drive cross-functional engineering and design teams, partner with enterprise customers on production AI/LLM issues, build agentic AI prototypes, and iterate on features and packaging based on GA customer feedback.

Lead product strategy and roadmap for frontier AI models. Define evaluations and benchmarks, partner with researchers and partners, set launch readiness criteria, and translate emerging capabilities into customer-focused product priorities.

Own the global consumer engagement and personalization domain across digital channels. Assess current capabilities, define multi-year strategy and roadmap, recommend personalization infrastructure investments, and translate priorities into shipped products. Partner with engineering, data science, design, marketing, legal, and regional teams to deliver scalable experiences. Establish metrics, run cross-market experiments, optimize performance, and make global versus localized decisions. Influence executives, mentor product managers, and apply AI, identity resolution, and generative AI to personalization.

Lead product definition, roadmap, and adoption for the CTOs agentic AI portfolio. Translate strategy into requirements, KPIs, and milestones; run discovery, prioritize backlogs, instrument usage, and shepherd incubation-to-handoff for AI/dev platforms and foundation-model tooling.

Lead the definition and evolution of cybersecurity technology platform and service offerings for cyber defenders and CISOs. Drive requirements through software and service lifecycles, deliver differentiated offerings to market, and guide cross-functional teams toward consistent, high-quality execution. The role requires deep expertise in at least two cybersecurity domains, managed services experience, strong communication skills, executive presentation ability, and awareness of AI’s impact on cyber defense.

The Senior Product Manager will oversee the Measurement, Planning & Optimization product, drive insights from data, and foster cross-functional collaboration to shape product development and strategy.

Own strategy and roadmap for identity resolution engines that match visitors to people and companies. Drive data source integrations, improve match accuracy, resolve data quality issues, build monitoring, collaborate with engineering and data science, and enable GTM teams while ensuring privacy compliance (GDPR/CCPA). Measure impact via match rates, coverage, latency, and downstream revenue.