Top Social Impact Product Manager Jobs

Lead product strategy and execution for Benchling's Admin Platform, driving discovery, prioritization, and delivery of admin and platform features (permissions, compliance, identity) to enable secure, scalable enterprise-grade admin experiences and self-service for customers and internal product teams.

The Staff Product Manager at Headway will define product strategy, apply AI solutions, set success metrics, and represent customer voices in decisions across patient, provider, and payer areas.

Lead product management by defining team visions, driving discovery, and collaborating with engineering and design to enhance user experiences.

Lead product development for Marble’s school mental healthcare solutions, collaborating with cross-functional teams to enhance school partnerships and care coordination.

As the Staff Product Manager for Consumer Mobile, you'll lead the development of an AI-powered mobile experience for mental health, focusing on client engagement and product strategy across iOS and Android.

As Principal Product Manager, you will define the strategy for Upstart's pricing platform, enhancing its scalability and reliability while collaborating across teams to innovate pricing capabilities for loan products.

As the Principal Product Manager for Recurring, you will own the product vision and strategy, lead experiments, optimize user experiences, collaborate cross-functionally, and communicate effectively with senior stakeholders to drive growth in subscription management areas.

The Product Manager will develop product vision and roadmap, coordinate with engineering and design, and analyze data to drive decisions, ensuring user needs are met in a crisis assistance platform.

The Senior Product Manager will lead the Instant Cash product team, manage the product lifecycle, drive KPI growth, and collaborate with cross-functional teams to ship features and enhancements.

Lead launch and scaling of AI-powered patient-facing features that augment therapy. Partner with clinicians, engineers, data scientists, and designers to prototype, validate, and ship clinically-grounded, safe, and personalized AI experiences across the care journey.