AI/ML Engineering Manager

Join Rula, a mental healthcare technology company, as an AI/ML Engineering Manager. In this role, you will lead a team of Senior and Staff engineers, guiding them in the rapid delivery of user-facing features and the architecture of our core AI/ML infrastructure. You will be at the forefront of Rula's AI engineering, shaping a culture of high talent density and driving technological synergy that directly transforms mental healthcare delivery and experience. Enjoy remote work, generous benefits, and the opportunity to make a meaningful impact in the mental health space.

Advanced AI Evaluation Expertise: Deep, hands-on experience designing rigorous, production-ready evaluation frameworks for LLMs—combining automated metrics, LLM-as-a-judge, and Human-in-the-Loop (HITL) processes specifically aimed at mitigating hallucinations and bias in mission-critical applications

About Rula

Shaping a culture of high talent density and driving technological synergy that transforms mental healthcare delivery.

AI-Augmented Engineering Philosophy: A strongly defined, practiced philosophy on using AI to multiply engineering output. We are looking for someone who doesn't just build AI, but actively deploys cutting-edge AI dev tools (e.g., coding agents, advanced IDE integrations, automated testing bots) to push an already high-performing team to hyper-efficiency

Framework for Dual-Mandate Prioritization: Nuanced experience and a clear, communicable framework for managing the specific tension between short-term product delivery and long-term platform investments, demonstrating exactly how they prioritize technical debt and infrastructure scaling against aggressive feature sprints

Responsibilities

• Guiding a team of Senior and Staff engineers to deliver user-facing features and architect core AI/ML infrastructure.
• Balancing execution speed, coaching, and clinical safety to ensure solutions and models scale safely.
• 3+ years of experience technically leading or building core ML infrastructure, such as feature stores, MLOps pipelines, model deployment systems, or AI observability platforms
• 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

Requirements

• 8+ years of professional software engineering and machine learning experience, including 5+ years designing, scaling, and deploying distributed backend systems in cloud environments (AWS, GCP, etc.)
• 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 relevance engines
• 3+ years of direct engineering management experience, with a proven track record of hiring, retaining, and directly managing high-performing Senior and Staff-level engineers
• Regulated Industry Experience: Experience shipping advanced AI systems in high-stakes, regulated environments (such as HealthTech or FinTech), with a proven ability to balance rigorous privacy, compliance (e.g., HIPAA), and safety standards without grinding engineering velocity to a halt

Pay

USD 208,000 - 260,000