Top Entry Level Product Manager Jobs in Salt Lake City, UT

One Month AgoSaved
In-Office or Remote
Salt Lake City, UT
185K-230K Annually
Entry level
185K-230K Annually
Entry level
Marketing Tech • Software
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.
Top Skills: AIAutomated Evaluation SystemsAutomated JudgesGolden DatasetsLlmsRegression Detection
One Month AgoSaved
Remote
Salt Lake City, UT
106K-165K Annually
Entry level
106K-165K Annually
Entry level
Cloud • Information Technology • Business Intelligence • Consulting
Own product direction for an enterprise AI platform, including requirements, roadmap, acceptance criteria, scope, and stage-gate processes. Translate customer and stakeholder needs into prioritized, testable requirements; manage trade-offs among value, velocity, leverage, and technical risk; and partner with engineering on delivery decisions. Recruit design partners, validate customer needs, document decisions, communicate with executives and clients, and maintain disciplined delivery across multiple product teams.
Top Skills: Ai PlatformsAPIsDeveloper ToolsInfrastructure Products
One Month AgoSaved
Remote or Hybrid
Salt Lake City, UT
Entry level
Entry level
Artificial Intelligence • Fintech • Software • Financial Services
Owns the end-to-end product strategy and execution for AI-powered systems. Defines requirements, evaluation frameworks, quality standards, and system behavior while balancing quality, latency, cost, reliability, safety, and user experience. Partners closely with ML, backend, and client engineering teams to identify failure modes, improve model performance, prioritize roadmaps, and deliver predictable, useful, trusted AI experiences.
Top Skills: AILarge Language Models (Llms)Machine LearningModel EvaluationOffline MetricsOnline ExperimentationPrompting
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