Engineering Manager - AI/ML

The role

This person will provide technical leadership to an AI Engineering team of Senior and Staff engineers. They will guide the delivery of user-facing features and architect core AI/ML infrastructure.

What you will do

• Enable the AI Engineering team through technical leadership
• Guide Senior and Staff engineers to deliver user-facing features like transcript summarization and search relevance
• Architect core AI/ML infrastructure such as feature store and AI observability platform
• Apply execution speed, Radical Candor in coaching, and clinical safety sense
• Manage the delivery of both user-facing product features and backend infrastructure platform work

Required qualifications

• 8+ years of professional software engineering and machine learning experience
• 5+ years designing, scaling, and deploying distributed backend systems in cloud environments (AWS, GCP, etc.)
• 3+ years of direct engineering management experience
• Proven track record of hiring, retaining, and directly managing high-performing Senior and Staff-level engineers
• 3+ years of experience technically leading or building core ML infrastructure, such as feature stores, MLOps pipelines, model deployment systems, or AI observability platforms
• 2+ years of experience directing or developing production-grade applied AI features, specifically focusing on LLM integrations (e.g., NLP, transcript summarization, RAG) or search, ranking, and releva
• Proven operational track record of concurrently managing the delivery of both user-facing product features and backend infrastructure platform work across multiple production release cycles

Nice to have

• Regulated Industry Experience: Experience shipping advanced AI systems in high-stakes, regulated environments (such as HealthTech or FinTech)
• Advanced AI Evaluation Expertise: Deep, hands-on experience designing rigorous, production-ready evaluation frameworks for LLMs
• AI-Augmented Engineering Philosophy: A strongly defined, practiced philosophy on using AI to multiply engineering output
• Framework for Dual-Mandate Prioritization: Nuanced experience and a clear, communicable framework for managing the tension between short-term product delivery and long-term platform investments

Benefits

• 100% remote work environment
• Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
• 401(k) plan access
• Generous time-off policies including 2 company-wide shutdown weeks each year
• Paid parental leave
• Employee Assistance Program (EAP)
• Quarterly department stipend
• Community and employee resource groups
• Home office stipend
• $50 monthly stipend to help cover internet or cell phone expenses
• Wellness at Rula program
• $50/month wellness stipend

Before you apply

• Must be based in United States
• Currently not hiring in Hawaii

About the company

Rula is a remote-first company dedicated to treating the whole person in mental healthcare. They aim to create a world where mental health is embraced as an integral part of overall well-being.