Engineering Manager - AI/ML (Remote)

About the Role

We are seeking an Engineering Manager for AI/ML to enable Rula's AI Engineering team through technical leadership across both applied product capabilities and foundational ML platforms. This person will be responsible for guiding a highly AI-native group of Senior and Staff engineers to rapidly deliver user-facing features such as transcript summarization and search relevance, while simultaneously architecting our core AI/ML infrastructure such as feature store and AI observability platform. This person will apply a balance of strong execution speed, Radical Candor in their coaching, and rigorous clinical safety sense to ensure our solutions and models scale safely. You will be at the vanguard of Rula's AI engineering, shaping a culture of high talent density and driving technological synergy that directly transforms how mental healthcare is delivered and experienced.

Required Qualifications

• 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.)
• 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.
• 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 relevance engines
• 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.

Preferred Qualifications

• 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.
• 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.
• 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.