Top Product Manager Jobs in Salt Lake City, UT

Own the catalysis product strategy, roadmap, and commercial expansion for an AI-driven materials discovery platform. Translate CHIPS Act objectives into product requirements and fulfillment evidence, define scientific datasets and model benchmarks, guide reaction-level modeling, and quantify customer value. Partner with scientists, program managers, business development teams, industrial customers, semiconductor organizations, catalyst manufacturers, and national laboratories. Lead segmentation, packaging, pricing, strategic partnerships, KPIs, and build-versus-buy decisions across refining, chemicals, emissions control, semiconductors, and energy-transition markets.

Manage optical networking products and services for North American customers. Align product roadmaps with network evolution, gather and prioritize feature requests, develop innovative solutions, support pricing and profitability, analyze market and competitor trends, and collaborate with sales and account teams. Present product strategies and roadmaps to internal and external stakeholders while building strong customer relationships and coordinating cross-functional initiatives.

Own product strategy and delivery for agentic document management, policy and procedure workflows, and compliance gap assessments. Partner with customers, design, engineering, and go-to-market teams to build reliable, explainable AI experiences that accelerate audit readiness and security program expansion. Responsibilities include defining product requirements, evaluating AI outputs, improving quality, synthesizing customer feedback, prioritizing roadmaps, and shaping product culture.

Own the vision, strategy, roadmap, discovery, delivery, and continuous improvement of Rezilient’s member experience products. Partner with clinical operations, engineering, design, customer success, and sales to ship accessible, engaging healthcare experiences. Define requirements, prioritize backlogs, establish product metrics, ensure healthcare compliance, and help integrate AI into care delivery. The role requires experience scaling consumer health products, building AI or machine learning features, and operating effectively in a regulated startup environment.

Own the core database and degree audit system for a higher education technology platform. Set product direction for a squad of 4–6 engineers, provide technical expertise on data modeling and system connections, prioritize delivery, lead discovery, document requirements, and drive user acceptance testing while partnering with implementation, integration, and customer success teams.

Leads an Agile ecommerce platform team supporting 11 brands across four technology stacks. Owns sprint planning, backlog prioritization, roadmap delivery, conversion optimization, merchandising, checkout, SEO, experimentation, and platform governance. Partners with engineering, UX, marketing, and content teams to translate business needs into product requirements. Tracks ecommerce performance metrics, drives A/B testing, standardizes experiences, and coordinates scalable platform improvements across brands.

Owns Twilio’s strategic email data plane integrations strategy, product roadmap, and lifecycle from concept through launch. Leads prioritization, requirements, migration from legacy products and APIs, launch planning, and cross-functional collaboration with engineering, partners, and go-to-market teams. The role requires deep email expertise, strong technical understanding of APIs and cloud services, enterprise product experience, and the ability to drive scalable, reliable systems and measurable business outcomes.

Lead the vision, strategy, roadmap, platform definition, and go-to-market for LaunchDarkly’s end-to-end data products, spanning SDK ingestion, data infrastructure, analytics, observability, experimentation, and AI-powered experiences. Partner cross-functionally with engineering, design, marketing, sales, and customer teams; advocate for customers; ensure reliable data foundations; monitor industry trends; and mentor other product managers. Candidates need substantial product or data-intensive engineering experience and strong knowledge of modern data architectures.

Owns the roadmap, prioritization, delivery, and optimization of internal AI products supporting Revenue Operations. Partners with RevOps, engineering, data, and product teams to develop AI capabilities for forecasting, sales execution, deal governance, proposals, and enablement. Uses stakeholder research, workflow analysis, usage data, and outcome metrics to improve adoption, accuracy, productivity, process efficiency, deal quality, and revenue impact.

Own the strategy, roadmap, development, delivery, and continuous improvement of AI-powered products. Translate business and customer needs into product requirements, coordinate engineering and AI teams, define success metrics, monitor adoption and ROI, and support responsible AI governance. The role also involves stakeholder management, leadership communication, market and technology evaluation, release planning, and ensuring successful product implementation.

Leads the strategy, roadmap, development, launch, and optimization of AI-powered products. Defines product vision, requirements, priorities, success metrics, and adoption goals while coordinating engineering, AI, business, executive, and customer stakeholders. Evaluates emerging AI capabilities, supports responsible AI governance, manages product performance, and drives continuous improvement aligned with business objectives.

Own the strategy, roadmap, and outcomes for Calendly’s intelligent customer experience, including AI support quality, automated issue resolution, human escalations, measurement, and observability. Partner across Product, Engineering, AI/Data, Growth, Monetization, Trust & Safety, Support, and Content Operations to improve resolution rates, customer satisfaction, and supportability. Establish company-wide standards, use customer and support data to prioritize investments, and translate recurring issues into product and engineering improvements.

Own Salesforce administration and operational infrastructure across commercial workflows, agreements, contracts, reporting, and integrations. Improve data integrity, automate processes, translate business requirements into technical specifications, and coordinate implementations with technical teams. Develop documentation, training, governance standards, dashboards, and AI-enabled workflows while partnering with leadership, Legal, and business stakeholders to improve operational efficiency and adoption.

Lead product strategy and roadmap execution in a technical, spec-driven environment. Author detailed technical specifications, define APIs and data flows, write prototypes and lightweight automation, and contribute to code and deployments. Partner closely with engineering through design reviews, sprint planning, and pull request reviews. Establish product metrics, conduct experimentation and data analysis, research customers and competitors, and translate business and technical needs into shippable product increments.

Senior Product Manager responsible for evolving CentralReach Essentials, with emphasis on revenue cycle management and practice management. Owns product strategy and end-to-end roadmap delivery, translates clinical, operational, and billing workflows into scalable solutions, collaborates cross-functionally, tracks product success metrics, and advances AI-enabled capabilities. Requires strong knowledge of healthcare practice management, claims and payer workflows, billing, authorizations, scheduling, and reporting.

The Product Manager will lead the Mission Agents team, translating user needs into actionable product direction while collaborating with engineers and stakeholders to deliver impactful solutions.

Own end-to-end strategy, roadmap, delivery, adoption, safety, and commercial readiness for AI-native cybersecurity products. Conduct customer and partner discovery, lead 0-to-1 launches, define experimentation and evaluation frameworks, and collaborate with engineering, design, sales, finance, and executives. The role requires hands-on LLM product expertise, strong judgment in ambiguous environments, and a focus on trusted AI experiences for security professionals and MSP/MSSP partners.

Own the strategy and roadmap for G2’s Data Solutions ecosystem, including APIs, MCP, integrations, partner capabilities, and developer surfaces. Drive revenue growth, customer adoption, partner expansion, integration migration, and platform reuse. Collaborate across Engineering, Data, Partnerships, Revenue, Customer Success, and Marketing while prototyping integrations and targeted code. Shape data offerings, packaging, delivery, and customer solutions for technical B2B audiences.

Own the end-to-end strategy and roadmap for G2’s user-generated content product system, including contributor experiences, review collection, trust and quality, AI-assisted workflows, customer activation, distribution, and buyer value. Lead experimentation, funnel instrumentation, incentives, verification, integrations, and reusable product capabilities while aligning Engineering, Design, Data, Research, Operations, Revenue, Marketing, and Customer Success teams.

Lead product vision, strategy, and roadmap development for Litmos learning platform capabilities. Partner with engineering, design, QA, product marketing, operations, and customers to define requirements, prioritize features, establish success metrics, support go-to-market activities, and deliver high-quality user experiences. Conduct market research, analyze user feedback and data, and ensure platform capabilities meet learning, accessibility, mobile, content, and industry standards.

Own the unified roadmap for AI Transformation and Salesforce products. Lead discovery, requirements, prioritization, backlog management, delivery, adoption, and go-to-market coordination across two engineering teams. Partner with business, Legal, Security, Compliance, and Salesforce stakeholders to implement generative and agentic AI solutions, automation, and platform enhancements. Define product metrics, analyze performance, communicate strategy and trade-offs, and drive scalable products that improve employee and customer experiences.

Lead a portfolio of credit-based, data-driven consumer prospecting products for financial institutions. Define product strategy, requirements, user stories, positioning, pricing, and investment priorities while partnering with engineering, sales, legal, compliance, marketing, operations, and executives. Represent the product line internally and externally, support revenue growth, and help advance Experian’s Ascend platform strategy.

Own the vision and roadmap for StackAdapt’s Attribution stack, including click-through, view-through, CTV, ABM, and other attribution models. Partner with major clients and cross-functional teams to define needs, align stakeholders, create product specifications, and guide engineering, design, and QA delivery. Translate complex data and identity-resolution constraints into product decisions, use experiments and analytics to drive iteration, and develop measurement products that increase customer engagement.

Own Hightouch’s core marketing product portfolio, including audiences, analytics, experimentation, trait building, and orchestration. Set product vision and priorities, lead 0-to-1 innovation, improve adoption, and drive revenue outcomes. The role requires close collaboration with Engineering, Design, executives, customers, and go-to-market teams. This senior, hands-on product leadership position involves managing multiple workstreams, validating market needs, defining MVPs, and presenting product strategy and customer insights.

Own product development for Spark, a daily puzzle app, from user research and problem framing through prototyping, experimentation, shipping, and measurement. Drive retention and subscription revenue, collaborate with product and content designers, analyze competitors, identify growth opportunities, and lead team rituals. Build working prototypes with AI coding tools and manage priorities independently in a fully remote environment.