Product Manager

Role Purpose

The Product Manager bridges the gap between deep-tech AI research and accessible consumer applications. You will translate complex behavioral neuroscience and multi-agent system capabilities into an intuitive user experience, ensuring that our cutting-edge science safely and effectively drives lasting, real-world health habits.

Key Responsibilities

• Define Metric Models: Research and build metric frameworks for specific wellness dimensions (including Physical, Emotional, and Intellectual well-being).

• Design & UX Architecture: Collaborate closely on UI/UX designs, information architecture, and wellness companion behaviors to boost user engagement and gamification mechanics.

• Clinical & AI Integration: Support clinical integration projects, write or refine prompts and scripts for large language models, handle hardware/wearable sensor integrations, and build internal automations.

• Operations & Cohort Management: Manage general product operations, author comprehensive technical documentation, and orchestrate the rollout and onboarding strategies for new user cohorts.

Why this Role is Critical

• Translates Deep Tech to UX: Simplifies highly technical physiomorphic AI architectures into an intuitive consumer companion that users love interacting with daily.

• Ensures Clinical Validity: Validates that multi-agent systems like QUBIT deliver scientifically accurate, safe, and effective behavioral health interventions.

• Drives Core Growth: Directly influences user adoption, loop retention, and scaling metrics by mastering the onboarding experience and tracking cohort behavior.

• Synchronizes Multi-Disciplinary Teams: Aligns cross-functional efforts across AI engineering, behavioral neuroscience, UX design, and clinical operations to ensure seamless execution.

Qualifications & Context

• Location: Austin, Texas (Hybrid/Onsite preferred).

• Company Size: 11–50 employees (Early-stage, fast-paced startup environment).

• Ideal Background: Experience managing AI/ML or digital health products, familiarity with LLM prompt engineering, data/sensor pipelines, and a passion for behavioral science or gamified consumer apps.

Divinity Science builds an AI-native health platform that supports wellness across eight dimensions: physical, emotional, intellectual, social, spiritual, environmental, financial, and occupational. The platform uses clinical research and conversational AI to provide personalized guidance, real-time check-ins, and wellness recommendations while prioritizing user privacy and data security. We serve individuals seeking comprehensive, science-based approaches to their health. Our team values high agency, radical transparency, and rapid iteration. We seek mission-driven builders and researchers who are comfortable working in ambiguity and want to contribute meaningfully to human health.