Senior Engineering Manager - Brain Health

Hinge Health • San Francisco, CA

37d • 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
• 5+ years of experience managing teams of 5+ technologists (mix of engineers and ML researchers/scientists)
• 5+ years of experience building and deploying ML/NLP solutions at scale (thousands to millions of DAU)
• Experience with conversational AI, dialogue systems, or chatbot development

Nice To Haves

• Master’s degree or higher in Machine Learning, Computational Psychology, or a related field
• 3+ years of experience developing conversational or agentic AI systems using LLMs (e.g., GPT, Claude, LLaMA), including techniques such as prompt engineering, RAG, fine-tuning, or reinforcement learning
• Proven understanding of responsible AI and ethical model design, particularly within healthcare or sensitive data environments
• Experience building or deploying digital mental health or therapeutic AI applications, with familiarity in CBT, DBT, or other evidence-based modalities
• Working knowledge of mental health privacy regulations (HIPAA, state-specific laws) and secure data practices
• Proficiency in modern development and ML infrastructure (Python, TypeScript, Node.js/NestJS, vector databases, LangChain, Docker, Kubernetes, AWS services like Bedrock/SageMaker, and CI/CD pipelines)

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.
• Establish MLOps practices specific to mental health AI, including model monitoring for therapeutic effectiveness, safety guardrails, and compliance with healthcare standards.
• Drive innovation in NLP and affective computing to enhance the therapeutic alliance between AI agents and members.
• Build cross-functional partnerships with content creators, clinical psychologists, and data scientists to create a comprehensive brain health ecosystem.

Benefits

• Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
• Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
• Modern life stipends: Manage your own learning and development.
• Grow with us: Enjoy discounted company stock through our ESPP with easy payroll deductions.

What This Job Offers

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