# Senior Engineering Manager - Brain Health

**Company:** [Hinge Health](https://hotfix.jobs/companies/hinge-health)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Salary:** $251k – $377k/yr
**Experience:** 5+ years
**Skills:** Machine Learning, NLP, Conversational AI, LLMs, Prompt Engineering, RAG, Fine-Tuning, Reinforcement Learning, MLOps, Python, TypeScript, Node.js, Nestjs, Kubernetes
**Posted:** 2026-03-05

> Leads engineering team building agentic AI for pain reprocessing therapy and mindfulness, including conversational bots and education platforms. Requires 5+ years managing ML teams, hands-on NLP/ML expertise, and cross-functional collaboration in healthcare AI.

## Job Description

## 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.

## Basic Qualifications
- 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

## Preferred Qualifications
- 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)

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