Top Remote Senior Level Product Manager Jobs in Boston, MA

As a Senior Product Manager, you will drive the product lifecycle, collaborate with stakeholders, and focus on data products for decision-making and growth.

The Sr Manager in AI Product Management drives the identification and adoption of AI solutions across business processes, partnering with various teams to improve workflows and ensure efficient automation while maintaining compliance and governance.

Lead the Adoption and Value Realization team to enhance user engagement and ensure clear value realization from AcuityMD’s platform. Responsibilities include collaborating with teams, improving engagement funnels, driving technical excellence, and mentoring engineers.

Lead the strategy and execution for financial platforms, overseeing payments, ledgering, and money movement while developing a high-performing team.

The Senior Product Manager will oversee ActBlue's payments platform, ensuring reliability and compliance while optimizing transaction processes and collaborating with various teams.

Manage high-growth SaaS products, define product roadmaps, collaborate with teams, and enhance capabilities with AI. Deliver measurable product growth and customer value.

Lead design for CompanyOS, collaborating with cross-functional teams, and turning ambiguous problems into intuitive user experiences while conducting user research and maintaining design quality.

Own the Dialer product vision and roadmap to improve reliability, performance, and adoption. Lead cross-functional execution with Engineering, Design, Data, Support, and GTM to ship workflow and platform improvements, measure impact, and increase connect rates, calls completed, and meetings booked.

Own the roadmap and operational health of an audience activation platform. Define requirements, manage taxonomy and segment lifecycles, ensure QA and compliance, syndicate audiences to AdTech partners, monitor performance, and lead cross-functional delivery with Data Engineering, Data Science, Sales, and Partnerships.

Lead technical product development for the DSP platform: define APIs and platform governance, drive ML/AI optimization for bidding and pacing, ensure scalable low-latency systems, partner with Engineering and Data Science, deliver reporting and attribution, manage technical debt, and drive cross-team adoption and monetization of platform capabilities.