Top Remote Senior Level Product Manager Jobs in Boston, MA

Own and prioritize the Agency Compliance product backlog for a personal lines insurance product. Translate regulatory and stakeholder needs into actionable requirements, user stories, and delivery priorities. Collaborate with Agile teams, business and technology stakeholders, and senior product owners to coordinate milestones, resolve blockers, evaluate feasibility, and align priorities. Ensure state-specific compliance requirements are incorporated while communicating delivery expectations, risks, and timelines.

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 the global operational backbone of the InsightXplorer medical insights platform, including access provisioning, licensing, user administration, request intake and triage, hosting coordination, governance, reporting, metrics, workload visibility, and resource oversight. The role manages competing priorities across regions, coordinates recurring team cadences, supports leadership-ready reporting, and oversees contracted resources while collaborating with technical partners and cross-functional stakeholders.

Drive product development for Mastercard’s commerce media and AdTech solutions. Responsibilities include defining product concepts, requirements, roadmaps, MVPs, workflows, and technical features; partnering with Engineering, Data Science, CX&D, TPMs, and business stakeholders; supporting go-to-market strategy and business cases; conducting market research; managing global workstreams; and mentoring junior product managers.

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.

Own the strategic vision and roadmap for Coursera’s search experience, including conversational, personalized, semantic, multilingual, and AI-driven discovery. Partner with engineering, design, research, data science, marketing, and product teams to improve search accuracy, conversion, and learner engagement. Lead experimentation, KPI measurement, competitive analysis, and revenue-focused personalization initiatives across a global learning platform.

Own Motive’s internal AI product strategy and roadmap for go-to-market teams. Translate business needs into technical requirements, guide agile development and releases, manage AI data and usage policies, evaluate vendors, forecast LLM costs, build investment cases, and drive adoption through training and executive communication. Partner closely with revenue developers, enterprise systems, procurement, legal, infosec, and business leaders to deliver AI agents, applications, and prompts.