About Us
At SimplePractice, our team is dedicated to improving the health and wellness industry by building a suite of innovative solutions for practitioners and their clients. Our product supports practitioners on their clinical journey to becoming licensed, helps them manage their business and practice once they’re up and running, and enables new clients to discover and interact with practitioners. Taking a practitioner-first approach in everything we do makes it possible for health and wellness practitioners to devote more time to their clients while they use SimplePractice to start, grow, and maintain a successful private practice.
The Role
We’re seeking a Senior Manager, Applied AI to build and lead a high-performing team of senior Machine Learning Engineers focused on empowering clinicians with intelligent, reliable, and scalable AI-driven product features.
In this role, you’ll build and guide a team of experienced ICs who are building next-generation tools that enhance clinician workflows, elevate care quality, and drive operational efficiency through machine learning. From experimentation and prototyping to scalable deployment, your team touches every part of the ML lifecycle. As a manager, your leadership will be critical to scaling our impact, aligning technical execution with strategic product priorities, and fostering a culture of innovation, accountability, and technical excellence.
Key Responsibilities
- Team & Technical Leaderrship
- Lead, mentor, and grow a team of senior-level ML engineers working on applied AI in production environments
- Partner with ML Platform team to drive technical roadmap development and execution in alignment with product and business goals
- Ensure high-quality and timely delivery of advanced data analysis, prototypes, evaluations, and productionized ML workflows
- Provide hands-on guidance on LLM workflows, evaluation strategies, and model lifecycle best practices
- Cross-Functional Strategy & Execution
- Collaborate closely with Product, Design, Engineering, and ML Platform to define scope, success metrics, and project plans
- Translate complex technical opportunities and risks into clear, actionable plans for cross-functional stakeholders
- Act as a key advisor on AI capabilities, helping to shape our roadmap for AI-enabled clinician tools
- Innovation & Impact
- Champion a strong experimentation culture grounded in domain understanding, user needs, and rigorous evaluation
- Encourage novel applications of LLMs, retrieval-augmented generation (RAG), and other emerging techniques to drive value
- Advocate for scalable, reliable, and safe deployment of ML solutions in real-world clinical contexts
- Operational Excellence
- Own team planning, capacity management, and execution tracking using modern tools
- Collaborate with ML platform, DevOps, and data engineering partners to ensure reliable infrastructure and monitoring
- Drive adoption of best practices in model versioning, prompt tuning, performance tracking, and incident response
Desired Skills & Experience
- Experience & Expertise
- 8+ years of experience in machine learning, with at least 3+ years managing high-performing technical teams
- Proven track record of bringing ML prototypes into production in a fast-paced, product-focused environment
- Deep understanding of LLM workflows, including prompt engineering, evaluation, and deployment
- Strong engineering skills, with comfort working across the ML/infra stack (Python, cloud, orchestration tools)
- Strong research skills, with high bar for
- Leadership & Communication
- Ability to inspire, coach, and develop senior engineers while setting a high technical bar
- Strong cross-functional communication skills; capable of translating AI complexity into business value
- Proactive, solution-oriented mindset with a bias toward clarity, impact, and continuous learning
- Tools & Technologies
- Proficiency with Python, cloud services (AWS preferred), and ML pipeline orchestration (Outerbounds, Argo, etc.)
- Familiarity with LLM eval frameworks, prompt management tools (e.g., Langfuse), and vector stores
- Experience leading teams focused on LLMs, RAG, or other advanced ML architectures
- Hands-on experience with ML observability, CI/CD, Kubernetes, or similar technologies
Bonus Points
- Background in clinical or operational healthcare workflows
Base Compensation Range
$233,000 - $285,000
Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.
The above represents the expected base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.
Benefits
We offer a competitive benefits program including:
- Medical, dental, vision, life & disability insurance
- 401(k) plan with company match
- Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
- Mental health resources
- Paid parental leave & Backup Care
- Tuition reimbursement
- Employee Resource Groups (ERGs)
California Job Applicant Privacy Notice
Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.
For more information about our privacy practices, please contact us at [email protected].
