• Partner with the Head of Product to translate product vision and strategy into a clear, prioritized roadmap. • Break down roadmap initiatives into well-scoped epics, stories, and tasks in Linear. • Own sprint planning, backlog grooming, and sprint review ceremonies in coordination with Engineering. • Track delivery progress, flag risks early, and keep stakeholders informed. • Work closely with Behavioral Science to ensure product decisions are grounded in Fresh Tri's neuroscience methodology and Iterative Mindset Method. • Partner with UX to move designs from concept to implementation-ready, maintaining high standards of usability and user empathy. • Collaborate with Engineering on technical scoping, sprint execution, and QA sign-off. • Engage Data Analytics to define success metrics, monitor feature performance, and surface insights that feed back into prioritization. • Write clear, thorough product requirements and acceptance criteria. • Maintain Linear as the source of truth for all in-flight and upcoming work. • Coordinate cross-team communication via Slack, keeping async workflows efficient and transparent. • Facilitate reviews of Figma designs with engineering to ensure feasibility and alignment before development begins.

• Partner with the Head of Product to translate product vision and strategy into a clear, prioritized roadmap. • Break down roadmap initiatives into well-scoped epics, stories, and tasks in Linear. • Own sprint planning, backlog grooming, and sprint review ceremonies in coordination with Engineering. • Track delivery progress, flag risks early, and keep stakeholders informed. • Work closely with Behavioral Science to ensure product decisions are grounded in Fresh Tri's neuroscience methodology and Iterative Mindset Method. • Partner with UX to move designs from concept to implementation-ready, maintaining high standards of usability and user empathy. • Collaborate with Engineering on technical scoping, sprint execution, and QA sign-off. • Engage Data Analytics to define success metrics, monitor feature performance, and surface insights that feed back into prioritization. • Write clear, thorough product requirements and acceptance criteria. • Maintain Linear as the source of truth for all in-flight and upcoming work. • Coordinate cross-team communication via Slack, keeping async workflows efficient and transparent. • Facilitate reviews of Figma designs with engineering to ensure feasibility and alignment before development begins.

• Looking for a sharp, hands-on Fractional Product Manager to work directly alongside the Head of Product and cross-functional teams to execute against our product roadmap. • You will translate strategy and vision into well-defined, well-sequenced work that ships. • Serve as the connective tissue between the Head of Product and our Behavioral Science, UX, Engineering, and Data Analytics teams — keeping delivery moving, removing blockers, and ensuring the right things get built the right way. • Partner with the Head of Product to translate product vision and strategy into a clear, prioritized roadmap. • Break down roadmap initiatives into well-scoped epics, stories, and tasks in Linear. • Own sprint planning, backlog grooming, and sprint review ceremonies in coordination with Engineering. • Track delivery progress, flag risks early, and keep stakeholders informed. • Work closely with Behavioral Science to ensure product decisions are grounded in Fresh Tri's neuroscience methodology and Iterative Mindset Method. • Partner with UX to move designs from concept to implementation-ready, maintaining high standards of usability and user empathy. • Collaborate with Engineering on technical scoping, sprint execution, and QA sign-off. • Engage Data Analytics to define success metrics, monitor feature performance, and surface insights that feed back into prioritization.

• Own the entire Scrum Master function — building the team, raising the bar on agile excellence. • Match the right coaching talent to the teams that need it most. • Scale the function, deepen agile maturity across Engineering. • Drive adoption of AI tools across Engineering's agile workflows. • Identify and resolve systemic blockers across teams and value streams. • Advise Engineering leadership on agile readiness, team capacity, and delivery risk.