Top Remote Product Manager Jobs

Technical Product Manager responsible for shaping and delivering developer-focused and AI-agent products. Work across multiple engineering teams to gather customer feedback, define requirements, prioritize work, guide features from experiment to GA, and enable go-to-market. Spend significant time with customers and engineers, translate technical constraints into product decisions, and establish scalable discovery, launch, and iteration processes.

As a Technical Product Manager at Mirantis, you will own the storage strategy for k0rdent AI, managing the development and features for GPU cloud storage while collaborating closely with engineering and marketing teams.

Own segmentation and product adaptation for POS lending and BNPL products. Identify growth opportunities across customer, partner, and product-category segments; develop pricing, promotions, sales processes, and customer journeys; lead cross-functional delivery across web, mobile, agent, analytics, marketing, and commercial teams; validate hypotheses through pilots and experiments; and build business cases that improve repeat usage, growth, and profitability.

Lead product vision and roadmap for Hirevue's evaluation and hiring platform. Partner with Design, Engineering, Data Science and GTM teams to define, build, launch, and iterate data-driven features, own prioritization, metrics, adoption and post-launch learning, and support customers and teams through documentation and training.

Lead end-to-end product initiatives for a mobile-first AI-driven higher-education platform. Own 0→1 and scaling work across onboarding, engagement, retention, gamification, experimentation, and product quality. Prototype, iterate quickly with engineering and design, use data and user insight to drive growth, and partner closely with founders and leadership.

Drive specific product roadmap initiatives for PerformYard's SaaS platform. Act as product owner on agile/scrum teams, prioritize backlog, collaborate with stakeholders, customers, UX/UI, and engineering, and use data-informed decisions to define and launch AI-enabled features, integrations, and product extensions.

Owns customer-facing product portfolio, defines vision and roadmap, partners cross-functionally to discover and deliver features, sets success metrics, writes product requirements, leads initiatives from discovery to launch, and communicates progress to stakeholders to improve customer satisfaction and operational efficiency.

Own product strategy and delivery for government solutions: gather customer insights, write actionable requirements, lead backlog and priorities, partner with sales/engineering/marketing, and track product metrics to drive adoption and revenue in government workflows.

Own and ship the 1035YellowPages product roadmap: write specs, design and code enhancements in C#/.NET, debug full-stack issues, coordinate client onboarding and migrations, provide technical support, and use AI-assisted tools to accelerate delivery while maintaining quality.

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.

Lead product strategy, vision, roadmap, backlog prioritization, and full lifecycle delivery for a sustainable energy design software platform. Serve as product owner in Scrum ceremonies, define user stories and acceptance criteria, collaborate with engineering and business stakeholders, drive change management and adoption, use data and KPIs for decisions, and explore agentic and generative AI innovations.

Lead product strategy and lifecycle for Liquid Staking/Restaking products. Drive development, launch, and growth by collaborating with engineering, design, and marketing. Gather stakeholder and user feedback, perform competitive and market research, and prioritize data-driven product improvements to increase adoption and differentiation.

Own technical product initiatives from ideation through execution, using SQL, dashboards, and user behavior data to define metrics and optimize the user funnel and internal systems. Translate operational requirements into technical product specifications, align engineering and cross-functional stakeholders, prioritize initiatives, launch features, and iterate based on performance data and feedback. The role emphasizes scalable systems, automation, quality, documentation, and measurable business outcomes.

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.

Own product vision, strategy, roadmap, backlog, and execution for enterprise jobs and scheduling products. Conduct market and customer research, define metrics, guide UX, partner with engineering and design, coordinate launches, and optimize adoption through quantitative and qualitative feedback. Collaborate cross-functionally with marketing, sales, strategy, and operations while using AI tools and automation to improve team efficiency and product quality.

Own the strategy, requirements, evaluation, and reliability of AI agent products. Partner closely with ML, backend, and mobile engineers to make trade-offs across quality, latency, cost, reliability, and user experience. Define offline and online evaluation frameworks, drive product execution, and ensure AI features are correct, predictable, safe, and trusted. Translate model capabilities and feedback into product decisions, roadmaps, and rapid iteration.

Lead the Data Sources product roadmap for document parsing, fraud detection, and bank aggregation. Drive metrics (parse accuracy, fraud catch rate, connection success, SLAs), write specs, engage clients, mentor PMs/engineers, and represent the platform externally. Prioritize document types, extraction models, reliability, and scalability to improve conversion, client satisfaction, and operational efficiency across mortgage, tenant screening, and government use cases.

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.

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.

Lead the Payments & Wallet product area: own roadmap for checkout, funding, balances, transfers, payouts, disputes, and new payment methods. Define PRDs, coordinate cross-functional delivery, run experiments and SQL-driven analysis to optimize conversion and reliability, manage vendors/integrations, and ensure compliance (PCI, NACHA, OFAC). Report metrics and quantify feature ROI.

As a Senior Product Manager, you will oversee AI analytics product development, prioritize initiatives, communicate with stakeholders, and manage the product roadmap while ensuring timely delivery of features and aligning them with business strategies.

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.