Top Product Manager Jobs in Miami, FL

Own an end-to-end product area for AI-native mortgage automation. Lead customer discovery, define requirements, prototype solutions, write clear specs, set success metrics, and partner with Engineering, Design, Sales, and Customer Success to ship reliable, regulated B2B SaaS features.

Own the end-to-end data lifecycle for a device intelligence platform: define data collection instrumentation, manage ingestion/storage/processing, and drive analytics, API, and dashboard experiences. Prioritize roadmap across JS Agent, Server APIs, Dashboard, and MCP; run planning, write PRDs, manage migrations, and coordinate launches and customer enablement.

As a Senior Product Manager focused on clinician experiences, you will drive product strategy, development, and stakeholder collaboration to enhance patient care via a digital ordering platform for medical equipment.

Lead product management for Drift's Shopify-based DTC subscription and ecommerce experience. Define and prioritize digital product enhancements, run A/B tests, measure performance, and collaborate with Engineering, Design, Analytics, Marketing, and CX to drive conversion and customer delight.

Lead a major product area end-to-end for a platform that securely shares engineering models and simulations in defense acquisition. Conduct customer research, define success metrics and roadmap, write specs with engineers, engage senior stakeholders, and drive ambiguous, technical features to shipped products.

Lead product strategy and execution for Nash's enterprise logistics platform. Define requirements, own the product lifecycle, run discovery with customers, validate technical solutions, and launch AI-enabled integrations with OMS/WMS/TMS/POS systems. Drive analytics, documentation, and go-to-market enablement while testing AI models and agent features to improve operational workflows and enterprise value.

Lead product strategy and execution for Nash's logistics platform, integrating enterprise systems (OMS/WMS/TMS/POS) and AI models. Drive discovery, prioritize features, scope requirements, validate with customers, support launches, build enablement materials, and measure product impact to deliver operational value for large enterprise customers.

Own vision and roadmap for shared platform services (policy, workflow/approval, inbox, notifications). Collaborate with customers and internal product teams to define requirements, drive API-first self-service design, deliver multi-tenant, auditable policy and orchestration capabilities, and measure adoption across a microservices, event-driven SaaS platform.

Own and drive core product features for large enterprise customers: onboarding, team/resource management, lifecycle automation, APIs at scale and IaC. Collaborate in triads with engineering and design, partner with Sales/Marketing/Customer Success, lead product discovery, advocate for users, prioritize with data, and shepherd features from prototype to GA while contributing to the product management community.

Lead platform product work across ingestion, querying, storage, data retrieval, and the internal design system. Partner with engineering, product, design, and go-to-market teams, prioritize scalable platform capabilities, drive product discovery to GA, and advocate for developer experience and customer outcomes in observability and tracing domains.

Lead the Cloud Networking Product team to enhance the connectivity of Confluent Cloud. Responsibilities include product lifecycle management, user analysis, and collaboration across teams to ensure successful product initiatives.

Own the Appliance Platform within Device OS, defining roadmap and delivering lifecycle, fleet operations, configuration, infrastructure, and operator tooling to support scalable, reliable, and secure appliance deployment and management across a global fleet.

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.

Lead product strategy and execution for logs within Elastic Observability. Evolve logs analytics and end-to-end log collection/ingest/management, integrate GenAI/agentic workflows, enable automated SLO/SLI tracking, intelligent alerting, and correlation of logs, metrics, and traces. Collaborate with Engineering, UX, Sales, and Marketing, drive go-to-market and feature adoption, and use user feedback and engagement metrics to prioritize product evolution.

The Sr. Product Manager will lead the product vision and roadmap for analytics and AI capabilities, driving product delivery and stakeholder alignment across technology teams and business stakeholders, managing product lifecycle and change management processes.

Own strategy for a reusable lending platform and identity data platform. Define identity and authentication flows, data schemas, and API design. Align engineering, fraud, compliance, and partner banks. Drive KPIs, AI-enabled identity decisioning, and platform adoption. Start as a strategist and build a team to scale lending products.

Own product strategy and roadmap for Admin and ESPP within Certent Equity Management. Write detailed PRDs, define data models and calculation logic, ensure tax and regulatory compliance, design admin and audit features, and lead cross-functional collaboration with engineering, sales, brokers, compliance, and professional services. Engage customers and broker partners for discovery, demos, and support sales and implementation.

Lead product execution for retail platforms, integrations, and data foundations. Establish data governance, define integration patterns and data contracts, improve fulfillment/OMS capabilities, evaluate vendors, and enable analytics and AI-driven automation to increase operational efficiency.

Lead product for Fetch's next-generation outcome-based ad platform. Own advertiser transaction systems (quote-to-cash, billing, invoicing, reconciliation, payment, fraud prevention), integrations with Salesforce and NetSuite, advertiser reporting and APIs, customer notifications, and partner with Engineering, Finance, Sales, and Data to design scalable, accurate workflows.

Lead product vision and roadmap for Tekion's Automotive CRM, translate dealer and partner needs into product requirements, define AI/LLM-enabled CRM capabilities, collaborate cross-functionally to deliver SaaS CRM features, create product artifacts, measure success metrics, and prioritize initiatives to drive adoption and strategic account success.

Lead ServiceTitan's Australian product roadmap, localize core platform for compliance and market fit, drive customer discovery with Australian contractors, coordinate with global engineering and GTM teams, measure region-specific metrics, and launch/iterate products to establish long-term retention and sales enablement.

Lead product vision and roadmap for an AI-powered coaching platform, prioritizing coach- and member-facing features. Translate coaching methodology into product, run discovery and user research, partner with engineering and design, support coaching operations, engage HR buyers, and leverage AI tools to augment coaching while driving team processes and execution.

Own and drive the enterprise product strategy, roadmap, governance and adoption for Smartsheet and Jira. Partner with business, IT, and vendors to configure, integrate, secure, and scale platforms; manage licenses, KPIs, training, and vendor relationships to deliver measurable enterprise value.

Lead integrations and data-sync product strategy to ensure reliable, fresh GTM data. Ship integrations, APIs, and AI-agent workflows; own reliability metrics, customer relationships, migrations, and cross-functional execution with engineering and design.

Own the data pipeline product roadmap and execute end-to-end delivery for ingestion, transformation, validation, auditability, and AI consumption. Write PRDs and technical specs, work hands-on with data (SQL), define data quality and lineage standards, partner with engineering, actuarial, and implementation teams, and prioritize platform capabilities to make pipelines scalable, configurable, and self-serve for non-engineers.