Top Product Manager Jobs in Boston, MA

Lead intercompany product strategy for agentic financial operations: define roadmap for continuous matching, netting, settlement, and eliminations; set AI-native and human-in-the-loop policies; drive cross-functional execution, business cases, and customer early-access; mentor PMs and ensure operational excellence.

Lead product initiatives for Modo's portfolio, managing cross-functional teams and driving product strategy, execution, and optimization in social gaming.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

Lead strategy and roadmap for AI-powered SaaS features; collaborate with engineering, data science, UX, and GTM teams to define problems, run discovery and experiments, manage backlogs, deliver product outcomes, and drive post-launch adoption and performance improvements.

Lead the telematics data platform vision and roadmap, partner with R&D and AI teams, productize telematics via APIs and integrations, ensure enterprise-grade reliability, drive cross-functional alignment, and mentor other product managers.

Lead product strategy and roadmap for high-priority areas (e.g., mobile, AI assessment, creator tools). Own end-to-end content creation experiences, drive AI-powered features from ideation to launch, use data and customer insights to deliver measurable outcomes, and mentor peers while partnering with Engineering, Design, Data, and Business stakeholders.

Drive discovery, evaluation, and delivery of new product opportunities to grow Ekotrope’s energy-code permitting and compliance adoption. Work with customers and developers to define MVPs, nurture early adopters, enable sales, and balance complexity and value while maintaining high customer satisfaction and supporting revenue growth.

The Product Manager will lead the Mission Agents team, translating user needs into actionable product direction while collaborating with engineers and stakeholders to deliver impactful solutions.

Lead end-to-end product lifecycle for a content management platform: define strategy, API and architecture, co-own roadmap, prioritize engineering work, enable automation and personalization, collaborate with Engineering, UX, Analytics, and stakeholders, and use data and experimentation to measure and iterate.

Own vision, roadmap, and UX for core GTM revenue tools. Lead discovery, PRDs, design, execution, launches, adoption tracking, and cross-functional alignment with Sales Ops, GTMS, and AI/Data teams.

Lead product initiatives for military planning and operational coordination. Conduct user research with planners, translate requirements into solutions, work across squads to design B2B/SaaS collaboration features, prototype and iterate, and represent product decisions to leadership while prioritizing user safety and operational effectiveness.

Lead development of a unified billing platform and ledger to ensure correct appointment billing, reliable reconciliation, and trusted financial datasets and reports. Own architecture and roadmap for ledger, reconciliation, and data-integrity systems; partner with Engineering, Data, Finance, Accounting, and Compliance to improve payment health, automate reconciliation, and enable accurate, timely close and audit readiness.

Own and execute the multi-year telematics hardware platform roadmap end-to-end. Drive commercial outcomes for gateways, sensors, cabling and accessories through field validation, launch, lifecycle management, and cross-functional alignment. Engage customers and sales on strategic deals, use market and fleet data to prioritize, and mentor junior PMs while ensuring hardware strategy supports revenue, margin, and company growth.

Lead product vision and multi-year strategy for developer infrastructure across the code lifecycle. Own roadmap for CI/CD, release automation, testing, deployments, and production readiness; drive migrations to simplify systems, measure quality with scorecards, partner with Engineering/SRE/Security, and integrate emerging (AI) capabilities to improve developer velocity and reliability.

Lead a global product team building automation-first, AI-assisted investigation and agent-facing tooling for AML, KYC, EDD, and sanctions screening. Define roadmap, metrics, vendor strategy, and regulatory controls to improve investigation quality, cycle time, and operational efficiency while ensuring security, privacy, and auditability.

Lead exploration and design of a native token and governance for the Arc network: define tokenomics, model incentives and staking, operationalize onchain/offchain governance, collaborate cross-functionally, and engage the community.

Own the hardware product lifecycle and roadmap for access management devices (badge readers, biometrics, peripherals). Lead supplier partnerships, firmware/integration efforts, regulatory and field readiness, cross-functional launches, and metrics to drive adoption and customer experience in healthcare and enterprise environments.

Lead product manager driving FedNow adoption across OBO service providers, fintechs, corporates, and BaaS banks. Develop targeted value propositions, evaluate customer pain points and market fit, lead discovery and delivery with design and engineering, build business cases, and collaborate with risk, legal, operations, and marketing to prioritize roadmap and accelerate instant payments adoption.

Lead product strategy and delivery for CrowdStrike’s Falcon Data Protection platform. The role requires understanding customer needs, guiding cross-functional engineering, R&D, delivery, marketing, sales, and support teams, managing executive stakeholders, coordinating global go-to-market launches, and delivering large-scale distributed data security solutions. Candidates need extensive complex product leadership experience, data or cloud security expertise, global collaboration skills, AI experience, and occasional international travel flexibility.

Own and drive the long-term vision and architecture for Affirm's consumer experience across mobile, web, and future surfaces. Build and evolve design systems, navigation, information architecture, and shared React Native platform capabilities. Lead large cross-functional initiatives, set standards and governance, partner with Design and Engineering, and use research and analytics to improve consumer journeys and consistency at scale.

As a Senior Data Product Manager, you'll drive product vision, collaborate cross-functionally, develop AI solutions, and deliver data products to improve customer needs and metrics.

Own the technical product vision, roadmap, and backlog for worksite technology platforms. Lead engineering delivery, Agile execution, architecture decisions, platform stability, incident management, vendor governance, integrations, and DevOps improvements. Drive cloud-first, API-driven, event-enabled solutions using microservices, Kafka, AWS, and related technologies while balancing business priorities, technical constraints, reliability, and operational excellence.

Own the strategy and multi-year roadmap for enterprise HCM and people systems. Partner with executives, translate business challenges into product requirements, lead cross-functional delivery, govern metrics, influence architecture decisions, champion Agile practices, mentor Product Managers, and manage strategic vendor relationships. The role requires strong enterprise technology expertise, executive communication, analytical skills, and experience driving complex product initiatives.

The Senior Lead Product Manager will drive the product strategy for Klaviyo's Enterprise platform, focusing on unifying customer data, AI-driven automation, and ecosystem integrations. They will collaborate with multiple teams to ensure enterprise needs are met while balancing long-term strategy with immediate delivery.

Lead product vision and roadmap for a unified fleet and lifecycle management platform that manages observability agents and collectors across hosts and Kubernetes. Coordinate cross-functional engineering teams to expand supported components, define "managed" behaviors, sequence rollout, set success metrics, and represent customer needs for both human operators and AI agents. Build business cases, validate with customers, and communicate trade-offs to stakeholders.