Top Remote Product Manager Jobs in Nashville, TN

Represent the customer's voice across the product lifecycle: define product vision and value, manage roadmap and backlog, gather quantitative and qualitative research, align stakeholders, and coordinate with design, development, and data teams to deliver digital product solutions.

Lead product strategy and roadmap for IoT hardware and digital products, manage lifecycle from conception to launch, integrate sensors and telemetry with platforms, ensure connectivity and security, collaborate with cross-functional teams, and translate customer needs into clear specifications.

Lead the software platform product for predictive maintenance and PCM. Own roadmap, market research, lifecycle from conception to launch, stakeholder alignment, and integration with hardware and industrial systems. Translate technical analyses (oil quality, vibration, energy) into development specifications, support sales and customer teams, and ensure regulatory compliance and continuous product improvement.

Develop and launch car insurance product features, partnering with Actuarial, Underwriting, Operations, Engineering, and Data. Own regulatory product initiatives, define coverage and pricing requirements, analyze performance metrics, monitor competitors and market trends, and recommend actions for profitable growth.

Own the strategy and roadmap for Lemonade Car insurance, driving profitable growth, rating and coverage improvements, underwriting sophistication, and regulatory approval processes. Lead and develop a team of product managers and analysts, guide AI-first workflow adoption, align Insurance, Engineering, Data, and Product teams, and present strategic recommendations and performance metrics to executives.

Own the vision, roadmap, and operations for Motive’s merchant partnership and shop network across fuel, maintenance, and fleet spending. Develop technical partner relationships, expand payment and settlement integrations, unlock bulk fuel partnerships, and drive international adoption. Lead executive-level partnerships, business reviews, metrics, product documentation, and cross-functional alignment across Product, Engineering, Design, and GTM to increase in-network transaction share and strategic partner transaction volume.

Own the strategy, roadmap, and investment priorities for foundational agricultural data products, including pipelines, data models, APIs, and shared services. Partner with engineering, architecture, data science, and product teams to deliver scalable, governed, high-quality data capabilities. Prioritize initiatives based on customer and commercial value, define success metrics, resolve cross-team tradeoffs, and expand data support for analytics, predictive modeling, machine learning, and AI applications.

Own the investigation-platform roadmap for Financial Crime Operations, covering alert ingestion, enrichment, grouping, suppression, case management, investigator workflows, auditability, and evidence retention. Partner with Compliance and Engineering to define requirements, acceptance criteria, controls, and delivery priorities. Improve operational workflows, support regulated AI and automation, ensure data lineage and explainability, and communicate delivery status to stakeholders and auditors.

Lead the strategy, roadmap, modernization, and growth of Pipe-Flo’s legacy and next-generation cloud platforms. Drive customer discovery, cloud adoption, product delivery, pricing, packaging, retention, and AI-powered innovation. Collaborate with engineering, UX, customers, partners, and cross-functional stakeholders to deliver measurable customer and business outcomes across the full product lifecycle.

Own the strategy, business case, experimentation roadmap, and launch of Liftoff’s zero-to-one e-commerce advertising platform. Lead product development from beta toward general availability, partnering with engineering, machine learning, legal, finance, sales, and customers. Responsibilities include optimizing funnel performance, defining traffic quality standards, managing identity and attribution architecture, overseeing e-commerce integrations, guiding go-to-market strategy, and making data-driven scaling, pivot, or shutdown decisions.

Own the vision and roadmap for Vida’s internal operations systems, integrating support, clinical, fulfillment, healthcare, and data platforms. Partner with operations leaders and engineers to replace manual processes with scalable workflows, automations, integrations, and internal tools. Analyze existing systems, define data flows, improve operational visibility, and prioritize initiatives that reduce resolution time and cost while minimizing oversight.

Lead product vision and strategy for Wealthsimple's Financial Risk platform, focusing on fraud prevention and investigation tooling, while collaborating with product, fraud, and data science teams to enhance system performance and client experience.

Own the roadmap and delivery of product pricing, fulfillment, provisioning, entitlement, usage, and overage capabilities across Salesforce, NetSuite, Oracle ERP, and integrated platforms. Lead Lead-to-Cash requirements, Agile backlog management, cross-functional delivery, governance, process improvement, and transformation from legacy systems to scalable future-state architecture.

Owns the roadmap for measurement products, develops new attribution solutions, and guides features from concept through launch. The role requires defining product specifications, identifying market trends, collaborating with engineering, design, QA, data science, and revenue teams, and delivering products that improve customer engagement and demonstrate advertising value.

Own the Connect product roadmap for a platform enabling partners to offer multi-model AI inference. Define strategy, partner onboarding, APIs, controls, billing, observability, and reusable multi-tenant abstractions. Work directly with design partners, engineering, design, partnerships, finance, and go-to-market teams to launch and scale the product from early integrations through general availability.

Own the vision, strategy, roadmap, and execution for Atom Engine content, including scenarios, units, and entities. Translate user and stakeholder needs into priorities and requirements, improve content creation and maintenance workflows, define quality standards, and align content with product, engineering, design, and domain teams. Use user research, exercise feedback, and production data to measure effectiveness and drive continuous improvement in a military simulation environment.

Lead regional growth strategy for USDC by building partnerships with exchanges and OTC desks, delivering regionally compliant product initiatives, and creating AI-driven, automated growth platforms. Own experimentation frameworks, dashboards, and metrics to scale liquidity, adoption, and measurable share shift versus competing stablecoins through cross-functional execution and data-driven prioritization.

Lead end-to-end digital product design and development for client projects. Collaborate with designers, engineers, project managers, marketers, executives, and clients to define goals, manage scope, prioritize requirements, maintain roadmaps and backlogs, and deliver user-centric mobile and web products using agile methodologies.

Own growth and go-to-market transformation for Harness’s Internal Developer Portal. Responsibilities include carrying an ARR target, delivering technical demos, supporting discovery and RFPs, developing AI and developer-experience thought leadership, creating marketing and sales-enablement content, building business-value assessments and demo environments, and feeding customer-driven product gaps to engineering. The role partners closely with sales while driving the product toward a product-led or sales-attached growth motion.

Lead the full product lifecycle for Tenna's IoT platform: define vision and roadmap, translate concepts into user stories and acceptance criteria, prioritize backlog, run acceptance testing, analyze user and quantitative data, drive KPIs and adoption, collaborate with Engineering, Design, Marketing, and Customer Success, and support go-to-market and end-user research.

Own and improve the core learner platform to increase learning rate, retention, and engagement at scale. Prioritize an AI-first roadmap, ship AI-assisted features (AI Tutor, AI Grader), define outcome metrics, run experiments, and collaborate with Curriculum, Learning, and Engineering to deliver high-quality, engaging learner experiences.

Leads Data Security product growth across the AMS region by driving sales strategy, supporting technical and commercial opportunities, enabling field teams, and translating customer insights into product strategy and roadmap improvements. The role covers competitive analysis, pricing, pipeline and churn analysis, customer escalations, deployment support, and data-driven business updates. It focuses on AI-powered data security products, including DLP, DSPM, and AI security solutions.

Lead and optimize new-customer onboarding to accelerate time-to-value. Instrument product flows, define and track activation metrics, run experiments, and translate behavioral insights into a prioritized roadmap. Collaborate with customer success, sales, support, data, and engineering to ship, measure, and iterate on features end-to-end.

Own the HUD data marketplace product lifecycle, improving vendor onboarding, submission workflows, quality feedback, and marketplace management. Enable research teams to discover, evaluate, and access AI training data and RL environments. Partner with engineering, research, GTM, and operations to simplify complex workflows, define marketplace health metrics, and prioritize product improvements using user feedback and quantitative data.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.