Top Remote Senior Level Product Manager Jobs in Boston, MA

Leads the vision, roadmap, and delivery of Distribution and Marketing data products on Snowflake. Translates business needs into backlogs, epics, and user stories; prioritizes work; guides engineering squads; and embeds governance, security, compliance, and AI readiness. Partners with business and technical stakeholders, evaluates build-versus-buy opportunities, monitors product KPIs, resolves data issues, and drives continuous improvement across complex initiatives.

Own the product strategy and delivery for a scalable data ingestion platform serving rostering, English learner program, and assessment data across 2,000 districts. Partner with Engineering, Data Operations, and stakeholders to investigate complex data workflows, conduct user research and analysis, define product opportunities, manage technical tradeoffs, drive execution and go-to-market enablement, and deliver outcomes for internal teams and education customers.

Owns product strategy, roadmap, prioritization, release planning, and commercial enablement for InterQual Connect and InterQual Medical Review Service. Responsibilities include managing platform integrations, partner relationships, PRDs, intake and triage, release calendars, customer and market insights, product positioning, sales enablement, and healthcare interoperability requirements. The role requires extensive product management experience, technical integration expertise, and knowledge of HL7 FHIR and related standards.

Responsible for end-to-end product management, collaborating across teams to deliver software solutions and enhance user experiences, especially using AI tools.

Owns core product areas across the full lifecycle, from discovery and strategy through execution, launch, and iteration. Conducts customer research, workflow analysis, usability testing, competitive research, and data analysis. Partners closely with engineering and design to deliver scalable user experiences, defines success metrics and instrumentation, and supports launches through messaging and cross-functional readiness. The role also requires hands-on AI experience and operates in a high-ownership, low-structure B2B SaaS environment.

Owns Finance data products end to end, including roadmap, reliability, adoption, data quality, governance, metrics, reporting requirements, and auditability. Partners with Finance, FP&A, Accounting, Procurement, and analytics engineering teams to define requirements, shape data architecture, guide delivery, and improve data maturity. Requires strong product ownership, stakeholder influence, data modeling, BI, governance, and Finance domain knowledge.

Lead growth for Arc Network and Circle platform products by driving developer and user adoption, designing growth loops, building developer-facing tooling (APIs/SDKs), coordinating cross-functional launches, ensuring regulatory alignment, and scaling ecosystem integrations across chains and protocols.

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 the In-Vehicle Experience team at Samsara, focusing on transforming in-cab cameras into intelligent companions. Collaborate with engineering, prioritize features, and ensure client interactions highlight trust and connection. Conduct customer research and integrate AI and ML into product features.

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.

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 internal AI and automation products that make Engine’s business functions faster and more scalable. Map workflows, identify high-value repetitive workloads, establish baseline metrics, partner with engineering to build and launch solutions, and drive adoption. The role requires evaluating LLMs and agents, incorporating human review, controlling scope and costs, measuring cycle-time improvements, and transitioning successful workflows to functional owners.