Top Product Manager Jobs in Nashville, TN

As a Web Product Manager at Coralogix, you'll enhance the website into a revenue-generating product, optimize SEO and conversion funnels, manage operations, and lead analytics efforts for growth.

Lead product strategy and roadmap for mid-market CX and BPO solutions. Conduct customer discovery, prioritize omnichannel and AI investments, partner with Engineering, Design, Data Science and GTM to deliver features, drive launches and adoption, define success metrics, and influence executives using data-driven recommendations.

Owns the strategy, roadmap, requirements, and delivery of data products, analytics capabilities, and data infrastructure. Partners with engineering, architecture, DevOps, and stakeholders to deliver secure, scalable platform features, manage Agile backlogs, define adoption metrics, support incident reviews, and identify AI opportunities. The role also contributes to technical planning, customer escalations, documentation, hiring, and cross-functional initiatives.

Own and evolve core areas of TopstepX, a real-time futures trading platform. Define product strategy, lead complex initiatives from discovery through delivery, prioritize trader needs, write requirements, manage roadmaps, and partner with engineering, design, risk, compliance, operations, and support. The role emphasizes platform reliability, performance, resilience, measurable outcomes, and intuitive trader experiences across market data, order management, risk, and performance workflows.

Own the lifecycle, quality, delivery, pricing, packaging, and commercialization of vertical data products. Partner with customers, sales, analysts, engineering, legal, pricing, and marketing to build data-driven workflows, prioritize investments, execute strategic deals, and increase revenue. Serve as the subject matter expert for specialized datasets, ensuring strong coverage, accuracy, entity resolution, platform integration, and customer adoption.

Lead the roadmap and delivery of an AI data platform supporting internal teams and external healthcare products. Manage ML and LLM platform workstreams across data ingestion, training, deployment, monitoring, and workflow optimization. Partner with AI engineers, researchers, data scientists, clinical leaders, and business stakeholders to define requirements, develop user stories, validate model performance, and turn proofs of concept into scalable production capabilities.

Own the shared product-led growth platform supporting monetization and onboarding motions. Build account, licensing, trial, freemium, usage-cap, measurement, and PQL signal-routing infrastructure. Partner across Product, Engineering, CBS, RevOps, Sales, and Data Science to establish consistent metrics, unblock teams, and drive cross-functional adoption. Translate ambiguous priorities into a scalable platform roadmap and ship, measure, and iterate on B2B SaaS capabilities.

Own the strategy, roadmap, adoption, retention, and revenue for Tempo Workforce Intelligence, an AI-powered enterprise product. Lead customer discovery, experimentation, attribution and reporting, agent governance, benchmarking, integrations, instrumentation, and commercial planning. Partner with engineering, design, sales, marketing, customer success, finance, and executives to turn ambiguous customer problems into validated product decisions and measurable business outcomes.

Own AgileSec product capabilities across discovery, planning, execution, release, adoption, and continuous improvement. Gather customer and market insights, define requirements and success metrics, prioritize backlogs, and partner with engineering, UX, sales, support, and alliances. Champion intuitive security workflows, support product launches and integrations, and contribute to cryptographic risk management and post-quantum cryptography initiatives.

Lead product strategy and development for Twilio’s identity platform, including authentication, authorization, and emerging human and non-human identity use cases. Partner with product, engineering, design, and go-to-market teams to define roadmaps, translate customer needs into capabilities, author product requirements, and deliver developer-focused experiences. The role requires strong technical and analytical judgment, comfort with ambiguity, and deep product ownership.

Lead product strategy, development, and lifecycle management for Honeywell’s AMI networking products serving electric and gas utilities in the Americas. Responsibilities include market research, customer discovery, voice-of-customer analysis, product requirements, roadmap definition, technology partnership management, cross-functional collaboration, and go-to-market planning. The role focuses on improving network performance, connectivity, design flexibility, customer value, and market adoption.

Leads product strategy, development, lifecycle management, and go-to-market execution for Honeywell’s AMI electric and gas networking offerings across the Americas. Responsibilities include customer discovery, market research, voice-of-customer analysis, product requirements and roadmap definition, technology partnership management, and collaboration with engineering, marketing, sales, and support teams. The role requires extensive product management experience in cellular and mesh communications networking, including work with North American carriers and applicable US and Canadian standards.

Leads and coaches Product Managers and Product Owners while owning roadmap strategy, backlog priorities, product initiatives, KPIs, and delivery plans. Partners with engineering, UX, agile teams, government clients, implementation teams, and customer success to align product direction and execution. Supports portfolio planning, resource allocation, risk resolution, and team development while maintaining expertise in state and local government software.

Own Demandbase’s AI product adoption and growth strategy, guiding customers from discovery and activation through repeat usage, cross-capability adoption, consumption growth, retention, and commercial expansion. Define adoption funnels, meaningful value metrics, lifecycle strategies, experiments, packaging, entitlements, and monetization mechanics. Partner with Product, Analytics, Data Science, Finance, Sales, Customer Success, and Marketing to improve AI outcomes, establish behavioral insights, and turn successful experiments into scalable product experiences.

Drive product discovery, strategy, and roadmap for OXIO's telecom-as-a-service platform. Define requirements, user stories, acceptance criteria, and success metrics; lead cross-functional execution with Engineering, Design, Operations, Sales, and Marketing; use customer research, data analysis, and AI tools to build B2B products like BrandVNO, eSIM onboarding, APIs, billing, and analytics; own launches, measure outcomes, and iterate.

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.

Lead the vision, strategy, and delivery for Communications Intelligence: build a cross-channel communications data platform, reporting, APIs, and Voice Intelligence. Define metrics, drive data quality and observability, design operational dashboards and workforce intelligence, prototype UX, align cross-functional teams, and mentor product peers to improve contact center outcomes and AI-powered insights.

Drive product discovery and delivery for a data-focused SaaS platform serving public safety. Engage customers, write user stories and specs, coordinate cross-functional teams, integrate datasets/APIs, and lead feature launches and GTM readiness.

As a Product Manager, lead the strategy and execution of healthcare software products, conduct market research, define requirements, and collaborate across teams to ensure successful product delivery.

Leads strategy and execution for data products powering threat intelligence solutions. Uses customer insights, big-data analysis, and competitive research to prioritize opportunities, refine API-first products, and integrate data into UI, AI, and third-party workflows. Collaborates with engineering, marketing, sales, and solutions engineering from ideation through launch, influencing stakeholders and executives through data-driven analysis. Requires substantial cybersecurity or data product management experience and expertise in threat intelligence, APIs, analytics, and customer ecosystems.

Own the strategy, roadmap, and execution for Mindbody’s multi-location and franchise platform. Responsibilities include designing location hierarchies, data synchronization, permissions inheritance, site navigation, franchise fees, revenue transfers, and transactional workflows. The role modernizes legacy infrastructure, manages migrations and rollout risks, partners with Engineering, Design, Payments, and enterprise stakeholders, and uses customer and performance insights to prioritize investments while supporting enterprise retention.

Own the vision, strategy, and execution of AI-first agentic experiences and enabling platform capabilities for Mindbody’s B2B SaaS platform. Lead agentic workflow development, trust and governance standards, evaluation systems, platform adoption, and cross-functional alignment. Partner with Engineering, Design, Data, Security, and Privacy to deliver reliable, scalable AI products while influencing company-wide strategy and coaching product teams.

Owns product initiatives across the platform and client portal, leading discovery, delivery, launch, and iteration. Partners with engineering, design, operations, accounting, implementations, and customers to simplify complex billing workflows, validate problems, define requirements, and shape product direction. The role requires strong ownership, communication, judgment, and the ability to bring structure to ambiguous, data-heavy operational systems.

Own the personal loans marketplace product roadmap from ideation through launch. Lead AI-powered consumer experiences, prototype and validate concepts using AI tools, analyze data, run experiments, and prioritize product investments. Collaborate with engineering, design, data, partnerships, and operations teams to achieve OKRs while maintaining accuracy, compliance, and trust in a regulated lending environment.

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.