Top Remote Senior Level Product Manager Jobs in Boston, MA

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

Lead product management and program delivery for enterprise software implementations. Manage product lifecycle, stakeholder relationships, reporting, risk, and financial tracking; mentor juniors and align project objectives with strategic goals.

Lead strategy and GTM for agentic commerce on Arc, driving ecosystem partnerships, product alignment, and adoption of USDC and Circle Agent Stack across AI builders, platforms, and enterprises.

The role involves owning personalization and discovery features at Babylist, using ML systems for product recommendations and user engagement, while collaborating with engineering teams to enhance customer experience.

The Product Owner leads the user authentication strategy for CIAM in phone channels, enhancing security measures and optimizing customer experiences through modern technologies while managing a cross-functional team.

The Principal Product Manager, Growth will drive product strategies to enhance homeowner acquisition through innovative self-serve tools and cross-functional collaboration, focusing on growth levers and AI integration.

Own and drive the vision, roadmap, and user experience for core support tools. Lead discovery, write PRDs and wireframes, manage execution with engineering and AI teams, coordinate launches and enablement, and track KPIs to drive adoption and business impact.

Lead day-to-day product management for drinkware, owning product specs, consumer research, competitive analysis, and sales performance. Partner cross-functionally with engineering, marketing, testing, and quality to drive product improvements, testing procedures, and rollout. Prioritize roadmap decisions, recommend new opportunities, and act as category expert to maintain a 5-star consumer experience.

Lead and manage Zeta's data collaboration platform, ensuring its stability, scalability, and security while defining roadmaps, support structures, and success metrics.

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.