Engineering Manager, Brain Health
About The Position
As the Engineering Manager, Brain Health Platform, you will lead the development and execution of innovative mental wellness solutions at Hinge Health. You will oversee a multidisciplinary team building agentic AI systems for Cognitive Behavioral Therapy (CBT) and Process-Interpersonal Psychotherapy (PIPT) experiences, while also architecting a unified education service that delivers comprehensive mental health educational content to our members. You will manage a team of engineers who will develop and deploy these brain health solutions at scale. As a key leader, you will collaborate with senior leadership, product management, clinical psychology teams, and coordinate across our three physical locations - San Francisco HQ, Montreal, Canada, and Bangalore, India. Our Brain Health initiatives focus on creating personalized, evidence-based mental wellness experiences that adapt to each member's psychological needs, emotional state, and therapeutic progress. This position is mission-critical for expanding Hinge Health's impact beyond physical therapy into comprehensive mind-body wellness, helping millions achieve better mental health outcomes through innovative AI-powered therapeutic interventions. As a hands-on engineering leader, you're expected to stay close to the technology: understanding your team's full stack, contributing code, and regularly reviewing and merging pull requests (~15% of your time). We enjoy a continuous deployment DevOps culture, and take owner-operator pride in supporting our code in production. Our stack includes Go, gRPC, Temporal, AWS, Kubernetes, Docker, PostgreSQL, Redis, Node.js/TypeScript (NestJS), GraphQL, React, and React Native. Our workflow is trunk-based CI/CD, and our security/compliance posture is at the highest standards of healthcare, including HIPAA, HITRUST, SOC 2, and CCPA.
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 CBT and PIPT interventions, ensuring clinical efficacy while maintaining engaging, empathetic user experiences.
- Architect and scale a unified education platform that intelligently serves mental health content, tracks learning progress, and personalizes educational pathways based on member needs and therapeutic goals.
- Develop the technical strategy for brain health initiatives with your product management partner and clinical stakeholders, ensuring alignment between technological capabilities and therapeutic best practices.
- Design robust AI architectures for conversational therapy bots that maintain context over multiple sessions, demonstrate emotional intelligence, and adapt therapeutic approaches based on member progress.
- Establish MLOps practices specific to mental health AI applications, including model monitoring for therapeutic effectiveness, safety guardrails, and compliance with mental health care standards.
- Drive innovation in natural language processing and affective computing to enhance the therapeutic alliance between AI agents and members.
- Collaborate with clinical teams to validate AI interventions against evidence-based therapeutic protocols and measure clinical outcomes.
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Industry
Web Search Portals, Libraries, Archives, and Other Information Services
Number of Employees
1,001-5,000 employees
