Top AI Product Manager Jobs in Denver & Boulder, CO

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.

The Product Manager will lead the Conversational AI and Communications Platform at Mango Voice, managing product strategy, development, and cross-functional collaboration to enhance customer communication experiences.

The Data and AI Product Manager owns product vision, roadmap, backlog, requirements, prioritization, delivery cadence, success metrics, adoption, governance, and stakeholder communication. The role partners with engineering teams and business units to deliver governed data and AI products, measure business value, guide product direction, and support engineering pod leadership. It requires substantial product management experience, SQL proficiency, data platform knowledge, and the ability to translate user and business needs into actionable product decisions.

Own product areas within BJAK's AI Neobank app (insurance, payments, savings, investing, travel). Define problems, scope, metrics, roadmaps; collaborate with engineering, design, data, operations, compliance and business teams; launch features, monitor performance, iterate using data and feedback while balancing speed, UX, business impact, and compliance.

Own the strategy, roadmap, evaluation, governance, integration, launch, and lifecycle management of AI tools supporting mortgage sales. Discover Loan Officer needs, prioritize use cases, measure adoption and ROI, evaluate vendors, coordinate risk and compliance approvals, design workflows across enterprise systems, and lead enablement and change management. Partner with technical teams on integrations and internal AI builds while maintaining vendor guardrails and ensuring safe, valuable adoption.

Own the AI and data product roadmap, prioritize and sequence development with engineering and founders, ship trustworthy AI experiences, drive adoption, define feature success metrics, evaluate outcomes, and manage the analytics foundation. The role requires technical fluency in AI, prior software engineering experience, production AI product delivery, strong product judgment, and comfort working in a fast-paced, remote startup environment.

Lead Elastic’s strategy, vision, and multi-quarter roadmap for vector databases, embedding and reranking models, vector indexing, semantic ingestion, and search capabilities. Conduct market and competitive research, define product metrics, prioritize features, and partner closely with engineering, cloud, and applied research teams. Guide technical trade-offs involving recall, latency, index size, ingestion throughput, model lifecycle, and total cost of ownership across serverless and self-managed deployments.

As a Sr. AI Product Manager, you'll develop growth strategies, manage customer motions, collaborate with marketing, and influence product direction based on customer insights for AIStor.

Lead product strategy and roadmap for Akamai's core compute offerings, bridging hardware and developer experiences. Gather and document technical requirements, prioritize features, analyze metrics for KPIs and profitability, collaborate cross-functionally, and engage customers and partners to drive compute platform adoption and improvements.

As Product Manager, Engagement, you will lead the roadmap for patient engagement features, collaborating with design, engineering, and clinical teams to enhance the user experience and measure success through engagement KPIs.

Own the development of an AI-powered marketing product for campground/RV park operators: define vision and roadmap, design trusted AI experiences, conduct customer discovery, partner cross-functionally, manage integrations and platform connections, set KPIs and experiments, run agile delivery, and communicate progress to stakeholders.

Lead commercialization of AI-enabled mainframe managed services by productizing platform capabilities, defining pricing and packaging, owning roadmap and lifecycle, aligning cross-functional stakeholders, and enabling sales to scale repeatable, profitable offers driven by automation and platform innovations (Telum/Spyre).

The Senior Technical Product Manager will lead the strategy and execution of Fingerprint's Bot Detection product, covering detection capabilities, customer experience, and commercialization efforts.

Lead ServiceTitan's Australian product roadmap, localize core platform for compliance and market fit, drive customer discovery with Australian contractors, coordinate with global engineering and GTM teams, measure region-specific metrics, and launch/iterate products to establish long-term retention and sales enablement.

Lead the end-to-end strategy and operational product roadmap for HPC and AI products, synthesizing market requirements and advising stakeholders throughout the product lifecycle.

As a Technical Product Manager at Arize, you will strategize and develop the product roadmap, engage customers for feedback, collaborate with cross-functional teams, and integrate market insights into product requirements.

Lead the end-to-end product development process, conduct market research, collaborate with cross-functional teams, and manage product roadmaps based on customer insights and analytics.