Top Entry Level Product Manager Jobs in Nashville, TN

As the Founding Product Manager at Freeflow, you will define AI-driven products for the insurance industry, focusing on claims auditing solutions, enhance efficiency and collaborate closely with teams and users to translate pain points into deliverables.

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 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.

Lead the migration of at least three public health jurisdictions annually from a legacy disease surveillance system to a modernized cloud platform. Own the migration service and product roadmap, coordinate DevSecOps, content design, and full-stack engineering teams, manage CDC and jurisdiction stakeholders, guide change management, facilitate delivery ceremonies, and use user feedback and data to improve adoption and product direction.

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.

Own technical capability roadmaps, prioritize program and ART backlogs, define feature requirements, and coordinate delivery across product teams, platforms, vendors, and technology organizations. Partner with architects, engineers, stakeholders, and risk teams to manage dependencies, risks, governance, release readiness, compliance, and production supportability. Track delivery progress, success metrics, adoption, and value realization while facilitating tradeoff decisions, stakeholder alignment, demonstrations, and continuous improvement.