Top Hybrid Product Manager Jobs in Boston, MA

Lead product marketing efforts for the ZAIDYN Field Performance platform, focusing on positioning, go-to-market strategies, and sales enablement to drive adoption and success in the life sciences sector.

Lead product onboarding, training, and lifecycle support for dealers, driving pricing and acquisition strategies to improve retention and reduce churn. Serve as an advisor, gather feedback for product improvements, create support resources, and collaborate cross-functionally to scale solutions and drive dealer success.

As a Product Manager for Chemistry, define the vision and roadmap for Benchling's small molecule R&D solution, working collaboratively with cross-functional teams to enhance scientific productivity using AI.

Lead the development of innovative communication solutions for Customer Service in P&C insurance, prioritizing high-value problems and influencing product direction.

Serve as the customer and business voice for Property & Specialty products. Define product vision, manage squad backlogs, prioritize features, remove blockers, coordinate stakeholders, assess tradeoffs and regulatory impacts, and support modernization and delivery through agile practices.

The Senior Product Manager will manage the homeowner experience for financial products, collaborating with various teams to enhance customer satisfaction and ensure compliance with regulations.

The Product Manager II, Agent Development at WHOOP will design and improve AI agents for health coaching, collaborate with various teams, and ensure effective communication and user understanding across platforms.

The Senior Technical Product Manager will own Dropship Tech capabilities, define success metrics, prioritize development, and ensure integration with operations and engineering teams.

Lead product strategy and execution for AMR software and Unified Factory platforms. Manage product teams and collaborate with engineering and operations to deliver integrated solutions for industrial automation.

Lead the development of AI/ML products by collaborating with teams, prioritizing features, and integrating advanced machine learning into customer experiences. Drive adoption and align with internal stakeholders.