Senior Manager of Machine Learning, Applied AI

About Us

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. Recognized by MedTech Breakthrough as the Best Practice Management Solution Provider in 2024 and the Digital Health Awards in 2023, SimplePractice is proud to pave the future of health tech. 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)

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