Senior Manager, Applied AI

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 Benefits We offer a competitive benefits program including: Privatized Medical, Dental & Vision Coverage Work From Home stipend Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays Monthly Meal Reimbursement Holiday Bonus, 15-day Aguinaldo Hybrid Work Schedule & Catered Lunch A relocation bonus for candidates joining us from a different city 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] . Originally posted on Himalayas