Top Remote Senior Product Manager Jobs

Own the vision, roadmap, and delivery of AI and analytics capabilities for an enterprise EHSQ SaaS platform. Lead customer and market discovery, prioritize backlogs, define product metrics, and partner with engineering, data science, architecture, design, sales, marketing, and services teams. Drive AI feature launches, adoption measurement, governance, enablement, pricing, and executive communications while ensuring trustworthy, explainable, and compliant product experiences.

Own the growth product experience from first touch through first reward, focusing on signup, onboarding, conversion, activation, acquisition channels, incentives, and self-serve customers. Build the growth roadmap, establish experimentation and landing-page systems, collaborate with Marketing and RevOps, prototype with AI, and help staff a new cross-functional squad in a fully remote, documentation-first environment.

Senior Product Manager responsible for modernizing multiple legacy product lines into a unified web-based platform. Leads product strategy, roadmap prioritization, execution, customer validation with municipalities, and collaboration with product, engineering, and leadership teams. Identifies AI-enabled product opportunities, translates legacy expertise into future-focused solutions, and manages the lifecycle from concept through launch. The role requires strong product management experience, technical software knowledge, accounting fundamentals, and the ability to manage ambiguity and cross-functional stakeholders.

Leads payments portfolio strategy and growth through market analysis, customer validation, business cases, go-to-market execution, sales enablement, and adoption initiatives. Serves as a payments subject matter expert across providers, gateways, fraud, settlement, reconciliation, compliance, and fintech. Partners with Product, Engineering, Sales, Marketing, customers, and partners to prioritize roadmaps, evaluate build-buy opportunities, apply AI, and deliver measurable revenue and adoption outcomes.

Own the strategy, roadmap, delivery, and platform coherence of Appspace’s Digital Signage product. Partner deeply with engineering on architecture, frameworks, and AI development; drive customer discovery, prioritization, adoption, ARR growth, and retention. Manage escalations, delivery quality, cross-product initiatives, and stakeholder alignment across global product, engineering, GTM, and Customer Success teams.

Own strategy and roadmap for LearnLux’s enterprise SaaS platform across data, AI, compliance, global capabilities, integrations, and vendor partnerships. Define priorities, analyze data with SQL and AI tools, manage privacy and governance requirements, develop AI evaluations, and partner with Engineering and Data from discovery through delivery. The role supports global scale, complex enterprise integrations, and strategic build-versus-buy decisions.

Own zero-to-one software product development for grocery retail and CPG customers, from discovery and validation through MVP, pilot, launch, and revenue. Conduct customer research, define requirements and success metrics, translate food intelligence and AI capabilities into products, coordinate Science, Data, and Engineering teams, lead agile ceremonies, manage partner pilots, and support demos, RFPs, and commercial growth.

Own product strategy, roadmap, and end-to-end delivery for identity-powered TV measurement features across CTV and streaming. Lead clean room and identity resolution capabilities, conduct market and customer research, define KPIs, and collaborate with engineering, data science, design, sales, and customer success. Advocate for customers, communicate product direction, maintain documentation, and mentor product managers in a data-intensive advertising technology environment.

Own a portfolio of B2B digital commerce capabilities (pricing, promotions, merchandising, personalization). Define roadmaps, translate customer needs into prioritized backlogs, run experiments (A/B, multivariate), and partner with UX, Engineering, Marketing, Pricing and Analytics to improve discovery, conversion and enterprise purchasing journeys. Monitor KPIs, iterate on MVPs, and present strategy and results to stakeholders and leadership.

The Senior Product Manager led various insurance products, driving revenue growth, cost savings, and strategic improvements in client onboarding and product integrations.

Owns the strategy, prioritization, requirements, launch, adoption, and continuous improvement of AI-enabled products. Translates ambiguous healthcare, clinical, operational, and business needs into product roadmaps, PRDs, KPIs, and execution plans. Partners with engineering, data, security, compliance, legal, clinical, and operations teams to deliver responsible, secure, compliant, and measurable AI solutions.

Drive the development and roadmap of HPC and AI/ML products for physics, plasma, high-energy-density simulations, and resilient materials discovery. Define features, requirements, positioning, and go-to-market strategy; collaborate with engineering and NVIDIA software teams; identify customers and partnerships; and represent products at workshops and conferences.

Own product strategy, roadmap, and execution for a high-priority AI-enabled software initiative. Partner with engineering, operations, underwriting, data science, and design to define requirements, guide development, manage tradeoffs, and deliver measurable outcomes. Lead AI evaluation, experimentation, and quality improvement while using data to prioritize investments and measure impact. Communicate strategy and progress to executives and cross-functional stakeholders, coordinating dependencies and resolving blockers.

Own platform experiences for clinicians delivering and documenting special education services. Lead discovery, solution design, product definition, AI-native capabilities, roadmap prioritization, prototyping, metrics, and cross-functional delivery. Partner with clinicians, designers, engineers, business stakeholders, and go-to-market teams while ensuring compliance with FERPA, HIPAA, SOC 2, and WCAG standards. Guide an interdisciplinary pod and improve clinician adoption, efficiency, and therapy delivery outcomes across a SaaS-plus-service model.

Lead product development for Sales and Service customer experiences in an EV startup. Define multi-year roadmaps, write product requirements, work with engineering/design, gather customer insights, and drive agile, frugal delivery and GTM strategies for B2C mobile and Salesforce-based solutions.

Own strategy and roadmap for trading APIs or new product initiatives. Use customer feedback, onchain and internal data, and personal DeFi expertise to identify opportunities. Partner with engineering on technical tradeoffs, collaborate with go-to-market teams to drive adoption, and work with the CEO and leadership on product direction. The role requires shipping B2B, API, or infrastructure products with measurable adoption and revenue in a hands-on individual contributor capacity.

Own the Intelligence and Applied AI product surface, defining 0-to-1 platform capabilities and leading products from discovery through launch and scaling. Develop roadmaps, product specifications, metrics, and processes; partner with engineering, design, sales, and customer success; manage ambiguity; and ensure AI automation products deliver measurable customer value.

Own the design and delivery of incentive program management and provider activation capabilities for a value-based care platform. Define detailed workflows, data models, business rules, specifications, and edge cases; manage backlogs and delivery; collaborate with engineers, providers, practice staff, and senior stakeholders; and operate effectively amid ambiguity with globally distributed teams.

Lead product strategy and roadmaps for RevenueCat’s Funnels and Workflows products. Conduct customer research, identify adoption barriers, define product vision, develop growth-focused features, analyze metrics, and collaborate with engineering, design, data, and go-to-market teams to improve subscriber conversion, retention, and revenue.

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.

Lead the end-to-end product lifecycle for options and derivatives trading products: define strategy, requirements, and roadmaps; collaborate with engineering, design, risk, compliance, and marketing; analyze market and user data; launch and iterate products to optimize performance.

Own a product area end-to-end for a secure defense engineering data platform: define success, build roadmaps, conduct customer research, write specs, work with senior engineers, and communicate with senior stakeholders to deliver coherent, secure products that move engineering models and simulations across classified and cross-corporate boundaries.

Lead the end-to-end integration and platform strategy for public safety systems, owning API ecosystems, data modeling and governance, automated ingestion pipelines, and investigative search/mapping experiences. Coordinate cross-functional teams to build scalable, auditable integrations across CAD, RMS, LPR, video, mapping, and third-party systems.

Lead product for GTM Studio features across audience building, AI enrichment, and AI orchestration. Partner with engineering, data, AI platform, design, and customers to build integrations, ensure data quality and freshness, and deliver go-to-market orchestration tools for revenue operators.

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.