[Hiring] Engineering Manager, New Product Initiatives @SimplePractice

Role Description

As an Engineering Manager for New Product Initiatives, you will lead and empower a high-performing engineering squad dedicated to building transformational, AI-powered solutions for practitioners and clinical customers on the frontline of care delivery. In this role, you will redefine how clinicians manage their practice—from seamless homepage experiences to intelligent automation workflows—offloading the operational pressures of running a business so practitioners can focus on taking care of patients and clinic needs. You will champion deep personalization and customizable tooling that goes far beyond simple add-ons, turning complex clinical and administrative demands into intuitive, reliable software.

This is a hands-on technical leadership role rooted in product thinking, customer empathy, and modern engineering practices. Beyond pure execution, you will apply strategic human judgment to architect deep, end-to-end customer solutions. Working in an AI-forward culture, you will guide your squad in shipping production-grade AI features while actively utilizing cutting-edge AI developer tools (such as Cursor and Claude Code) to compound delivery velocity, elevate code quality, and inspire continuous innovation across the team.

Responsibilities

• Leadership & People Management: Lead, mentor, and grow a squad of software engineers, building a high-trust culture of ownership, accountability, and continuous learning while guiding individual career development.
• Customer-Centric Practice Automation: Drive technical strategy for key practitioner touchpoints—including homepage experience, core workflows, and business automation—to relieve operational friction for clinical customers managing practice needs.
• Ship Production AI & Deep Customization: Architect and deliver production-grade AI features and highly customizable workflow tools that offer tailored value to clinicians beyond surface-level add-ons.
• AI-Assisted Engineering Leadership: Champion the squad’s hands-on adoption of frontier AI development tools (e.g., Cursor, Claude Code) to accelerate release cycles, elevate software craft, and optimize development rhythms.
• Full-Stack Architectural Ownership: Own architectural decisions across the full stack—from data models, relational database schemas, and caching mechanisms to secure APIs and responsive front-end interfaces.
• Product Thinking & Strategic Partnership: Partner closely with Product, Design, and Clinical stakeholders to discover and prioritize impactful customer solutions, prioritizing holistic product thinking over pure task execution.
• Clinical Quality & Compliance: Champion clean, testable, and maintainable software while ensuring solutions adhere to healthcare data security, privacy, and regulatory standards (HIPAA/HITRUST).
• Anticipate Roadblocks: See around corners to proactively identify cross-pillar dependencies, resourcing constraints, and system bottlenecks before they impact delivery.

Qualifications

• 7+ years of experience delivering high-quality software products as a software engineer.
• 3+ years managing and mentoring software engineers, with direct ownership over hiring, team performance, and technical strategy.
• Proven track record of taking zero-to-one initiatives from concept to production in fast-paced SaaS, HealthTech, or complex digital product environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
• Strong foundational background in modern web application development and frameworks (Ruby on Rails preferred, not required).
• Solid grasp of relational databases, data modeling, SQL optimization, and caching strategies.
• Hands-on experience architecting and shipping user-facing AI/ML features (e.g., LLM orchestration, RAG architectures, prompt engineering, or model inference pipelines).
• Deep fluency with modern AI developer tooling (e.g., Cursor, Claude Code, GitHub Copilot) and the practical ability to guide a team in using AI to write, test, refactor, and review code.
• Proficiency with modern CI/CD pipelines, Git-based workflows, release management, and testing frameworks.
• Working familiarity with healthcare security, compliance frameworks (e.g., HIPAA), and handling protected health information (PHI).
• Hands-on technical leadership: comfortable evaluating architecture, participating in system design reviews, and getting into the code when needed.
• Strong product and customer instincts with the ability to bridge customer empathy (understanding clinician workflows) with technical feasibility.
• Excellent technical writing, communication, and stakeholder management skills; capable of aligning cross-functional partners through ambiguity.
• Pragmatic decision-maker adept at managing technical debt, sequencing milestones, and maintaining delivery velocity.
• Continuous curiosity and enthusiasm for frontier AI technologies and evolving software patterns.

Bonus Points

• Along with your application, share a link or write-up of something you built or shipped using AI: a working prototype, an internal workflow, an agent, or a feature built with AI developer tooling.
• Include a sentence or two on what you made, which models/tools you used (e.g., Claude, Cursor, OpenAI), and what you learned from the process. We care less about polish than about how you think and how you build.

Compensation

Base Compensation Range: $180,000 — $225,000 USD