Senior Engineering Manager - Brain Health

Hinge Health • San Francisco, CA

4d • Hybrid

About The Position

Join the team transforming how we treat chronic pain by addressing its critical mental health comorbidities. As the Senior Engineering Manager for Brain Health, you will lead the development of agentic AI systems that power pain reprocessing therapy and mindfulness interventions. You will oversee a multidisciplinary team to build improved treatment experiences grounded in the latest science, helping members retrain how their brain and nervous system process pain. In this high-impact role, you will collaborate with senior leadership, product management, and clinical teams to architect a unified education platform and conversational therapy bots that demonstrate true emotional intelligence. You will bridge the gap between technological capabilities and therapeutic best practices, ensuring our solutions effectively complement physical therapy to address the root causes of persistent pain.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field.
• 6+ years in software engineering with 2+ years managing engineering teams, including experience leading a product engineering team where your customers are the end users of the business.
• Have built AI products and have a practical understanding of what it takes to turn model capabilities into applications people actually use.
• Have track records of leading the design and delivery of complex, user-facing products end-to-end — across product surfaces, backend services, and AI/ML systems.
• Have track of records of establishing engineering standards, system architectures, and development best practices — especially around evaluation, safety, and reliability for AI systems.

Nice To Haves

• Master's degree or higher in Machine Learning, Computational Psychology, or a related field.
• Track record of delivering conversational or agentic AI systems using LLMs (e.g., GPT, Claude, LLaMA), including techniques such as prompt engineering, RAG, fine-tuning, or reinforcement learning.
• Have worked in early-stage or fast-moving, rapidly evolving environments, and have ideally built products from 0 to 1.
• Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products.
• Prior exposure to LLM evals, ML experimentation platforms, or model quality work — even tangentially.
• Proven understanding of responsible AI and ethical model design, particularly within healthcare or sensitive data environments.

Responsibilities

• Build next-generation therapeutic AI agents that deliver personalized pain reprocessing and mindfulness interventions, ensuring clinical efficacy while maintaining engaging, empathetic user experiences.
• Architect and scale a unified education platform that intelligently serves pain science content, tracks learning progress, and personalizes pathways to build member confidence in movement.
• Develop the technical strategy for brain health initiatives, ensuring alignment between technological capabilities and therapeutic best practices in partnership with product and clinical stakeholders.
• Design robust AI architectures for conversational therapy bots that maintain context over multiple sessions and adapt therapeutic approaches based on member progress.
• Build cross-functional partnerships with content creators, clinical psychologists, and data scientists to create a comprehensive brain health ecosystem.

Benefits

• Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day.
• The San Francisco office has a dog-friendly workplace program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior