Top Remote Product Manager Jobs

Owns the full product lifecycle for enterprise data warehouse and business intelligence platforms, including product vision, roadmaps, backlogs, requirements, user stories, acceptance criteria, stakeholder engagement, technical collaboration, data analysis, UAT, incident management, vendor performance, compliance, and documentation. The role leads grooming sessions, product demos, launches, and cross-functional initiatives while mentoring Product Specialists.

Own Sprout Social’s partner and platform integration ecosystem, developing scalable integration strategies, roadmaps, lifecycle processes, packaging, pricing, permissions, and licensing models. Partner with Engineering, Partnerships, GTM, and customers to prioritize investments, launch integrations, and balance immediate commercial needs with long-term platform scalability. The role requires technical fluency in integration architecture, strong commercial judgment, and ownership of measurable product outcomes.

Leads outbound product strategy for Atlassian Service Collection’s enterprise go-to-market plays. Converts customer, competitive, security, compliance, and field evidence into product priorities, operating plans, executive recommendations, playbooks, and scalable mechanisms. Aligns Product, Engineering, Sales, Marketing, Security, Legal, Finance, and Customer Success stakeholders without formal authority, while supporting competitive displacement, enterprise transformation, trust readiness, and customer adoption.

Lead consumer growth and retention product experiences for Capital One Shopping. Own reward and activation strategy, personalization, product journeys, business cases, prioritization, analytics, operational reporting, and investment decisions. Partner closely with engineering to rapidly build, A/B test, and optimize digital experiences. Use SQL, Excel, financial modeling, user behavior insights, and AI-enabled approaches to drive product adoption, activation, retention, and business growth.

Own the end-to-end lifecycle of revenue-generating card products, including strategy, discovery, requirements, prioritization, launch, optimization, and retirement. Define roadmaps, success metrics, customer journeys, and product requirements while managing performance, P&L impacts, risks, compliance, and cross-functional dependencies. Partner with business, technology, finance, operations, legal, third-party providers, and customers to resolve complex decisions, improve experiences, and deliver growth and operational outcomes.

Own end-to-end member growth across acquisition, onboarding, activation, retention, reactivation, and referrals. Build and prioritize a growth backlog, establish measurement frameworks, run data-driven experiments, and communicate trade-offs to executives. Partner with product, marketing, data, engineering, and design teams to create organic and viral growth loops, use AI tools to accelerate delivery, and improve growth outcomes for a scaled consumer software product.

Own the roadmap and end-to-end delivery of Scotch’s Android point-of-sale terminal. Responsibilities include researching merchant workflows in stores, prioritizing features and platform work, partnering with engineering, writing requirements, managing device releases, supporting peripherals and unreliable networks, measuring adoption, and coordinating with support, onboarding, and go-to-market teams. The role requires independent decision-making, direct customer engagement, strong communication, and judgment across multiple concurrent workstreams.

Leads product initiatives from concept through launch and lifecycle management. Responsibilities include market and customer research, requirements development, roadmap planning, feature prioritization, business case and pricing development, pilot programs, product demonstrations, and cross-functional collaboration with engineering, sales, marketing, support, and internal stakeholders. The role also identifies partnership opportunities, defines success metrics, and delivers products within scope, timeline, and budget.

Own the vision, strategy, and roadmap for Vercel’s Dashboard, evolving it into a personalized, agent-powered control plane. Define agent interactions, proactive insights, information architecture, and cross-product design patterns. Partner with engineering and product teams to optimize performance and consistency, while running experiments and analyzing onboarding, adoption, and engagement metrics. The role requires experience building developer-facing dashboard or control-plane products, with strong product design, analytics, and AI perspectives.

Lead the vision, strategy, and development of ServiceNow’s enterprise search, RAG, and conversational AI capabilities. Own product outcomes, guide engineering and ML teams, drive customer-focused innovation, define performance metrics, expand adoption across the platform, and manage a team of four or more Product Managers. The role requires deep enterprise search, AI/ML, technical product management, data-driven decision-making, and team leadership experience.

Lead the vision and strategy for ServiceNow’s enterprise search, RAG, question-answering, and conversational AI products. Drive measurable business and customer outcomes, guide engineering and ML partners, incorporate user research and market insights, expand AI capabilities across the platform, and define performance metrics. Manage and mentor a team of at least four Product Managers while securing executive alignment and delivering scalable, customer-centric solutions.

Own the strategy, roadmap, performance, experimentation, and measurement of Samsara’s regional websites across international markets. Lead localization, SEO/AEO, CRO, personalization, AI workflow adoption, site launches, redesigns, and architecture initiatives. Partner with marketing, content, design, engineering, and regional teams to deliver business outcomes, communicate performance to leadership, and improve web capabilities across the organization.

Own the strategy, delivery, and growth of Sprout Social’s partner and platform integration ecosystem. Lead integration roadmaps, platform-based connectors, lifecycle management, permissioning, security, licensing, prioritization, pricing, packaging, and go-to-market readiness. Partner with Engineering, Partnerships, GTM, Design, and customers to balance immediate commercial needs with scalable architecture. Build business cases, define success metrics, guide architectural decisions, and deliver measurable outcomes across a multi-product B2B SaaS portfolio.

Own Headway’s provider activation funnel, onboarding strategy, patient porting tools, and early provider appointment growth. Define activation metrics, OKRs, and roadmap while partnering cross-functionally with sales, CX, finance, pricing, ranking, and provider experience teams to improve retention, lifetime value, and provider satisfaction.

Own the strategic vision and roadmap for Coursera’s AI-driven search experience. Lead conversational search, personalization, semantic and multilingual search, ranking, and discovery improvements. Partner with engineering, design, research, data science, ML, marketing, and partnerships teams to deliver scalable platform capabilities. Use experimentation, market analysis, KPIs, and customer insights to improve conversion, merchandising, learner experience, and revenue.

Leads enterprise CRM voice AI deployments through customer pods, owning agent design, build, evaluation, production launch, monitoring, and optimization. Evaluates ASR and TTS models against production workloads, develops experimentation methodologies, guides platform decisions, and identifies repeatable industry-specific capabilities. The role combines technical product management, enterprise customer leadership, conversation design, speech model evaluation, telephony integration, and AI agent development.

Leads complex enterprise voice AI deployments, owning customer outcomes, agent design, evaluation, production launches, and optimization. Partners with engineering teams on conversational quality, real-time streaming, latency, orchestration, and voice pipeline decisions. Transforms customer-specific solutions into repeatable industry assets while shaping the broader product roadmap through hands-on exposure to production voice interactions and customer needs.

Owns complex enterprise voice AI customer deployments, leading pod product direction from agent design through production and customer handoff. Drives conversational quality improvements including turn-taking, interruption handling, barge-in, endpointing, latency, and LLM orchestration. Partners with platform teams on real-time voice infrastructure and voice-to-voice models, while productizing customer solutions into repeatable industry assets. Requires deep voice AI expertise, telephony integration experience, enterprise technical deployment experience, and 12+ years in product management.

Owns the vision, roadmap, requirements, and customer outcomes for conversational AI features. The role guides AI experience strategy, prioritizes feature gaps, translates customer feedback into product improvements, creates PRDs and success metrics, and coordinates engineering, design, and cross-functional teams. Responsibilities include AI evaluation, telemetry, quality and performance requirements, usability research, strategic customer pilots, go-lives, escalations, and end-to-end delivery of conversational AI capabilities.

Own the product strategy and roadmap for SEO and AI visibility across thousands of real estate websites. Lead technical SEO foundations, structured data, performance, experimentation, migrations, measurement, and AI citation visibility. Partner with engineering and product teams to establish scalable defaults, safeguards, acceptance criteria, and reporting that improve organic discovery, client conversions, and platform-wide search quality.

Defines and executes strategy for benefits products, leading roadmaps, prioritization, release planning, market research, and customer adoption. Partners with engineering, UX, sales, service, customers, and leadership to deliver workflow automation, integrations, AI-driven solutions, and data-informed product improvements. Develops requirements, user stories, business cases, and design specifications while mentoring junior product team members.

Own Samsara’s monetization platform, including packaging, entitlements, metering, rating, provisioning, pricing, and unit economics. Define monetization for AI products, improve time to market and margins, and enable product teams to launch commercial changes efficiently. Partner with Finance, Sales Operations, and Revenue Systems to ensure offerings are billable, reportable, and auditable. The role requires technical platform-product expertise, strong business metric ownership, executive communication, and collaboration across North American and European teams.

Lead product design, requirements, prioritization, and delivery for complex cross-functional initiatives. Build adoption and customer-health dashboards, analyze usage and competitive positioning, resolve customer escalations, and translate feedback into product improvements. Support enablement through webinars, documentation, and training, while representing the product with customers, advisory boards, and executive stakeholders. Partner closely with Engineering, UX, Platform, Support, Services, Growth, and Customer Success teams.

Own the strategy, roadmap, requirements, launch, adoption, and success metrics for a technical platform. Partner with engineering, data, product, and business teams; evaluate architecture, APIs, and system tradeoffs; prioritize foundational investments against customer and revenue outcomes; and apply AI to improve platform capabilities. The role requires strong product management experience, technical depth, analytical skills, and production experience with LLM-based or ML-adjacent products.

Own a customer-facing product area end to end, including vision, strategy, roadmap, discovery, launch, and iteration. Use customer research, behavioral data, funnel analysis, and experimentation to improve conversion, engagement, and retention. Apply AI tools and capabilities to accelerate product development and enhance customer experiences. Partner cross-functionally with Engineering, Design, Data, Sales, Operations, and Support to deliver outcomes.