AI/ML Engineering Manager

Rula; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

The ability to work remotely from anyU

Job summary

Rula is seeking an Engineering Manager for AI/ML to lead a tight AI-native team delivering user-facing features such as transcript summarization and search relevance, while architecting core ML infrastructure including feature stores and observability platforms.

You will coach Senior and Staff engineers to ship rapidly, ensure safety and privacy, and balance short-term delivery with long-term platform investments to scale AI across mental healthcare.

Qualifications

• 3+ years leading or building core ML infrastructure (feature stores, MLOps pipelines, model deployment, AI observability).
• 8+ years software engineering and ML with 5+ years designing, scaling, deploying distributed backend systems in cloud environments (AWS, GCP).
• 2+ years directing production-grade AI features focusing on LLM integrations (NLP, transcript summarization, RAG) or search & relevance.
• Proven track record delivering both user-facing features and backend infrastructure across multiple releases.
• 3+ years of engineering management, hiring and mentoring Senior and Staff engineers.
• Experience shipping AI systems in regulated environments (HealthTech/FinTech) balancing privacy and safety without blocking velocity.
• Advanced evaluation frameworks for LLMs combining automated metrics and HITL to reduce hallucinations and bias.

Responsibilities

• Lead AI-native team to deliver user-facing features (transcript summarization, search relevance).
• Architect core ML infrastructure (feature stores, observability, deployment pipelines).
• Coach Senior/Staff engineers; hire, retain, and grow top talent across releases.
• Balance short-term product delivery with long-term platform investments and technical debt management.
• Ensure privacy, compliance, and safety standards in high-stakes environments.

Skills

AI/ML leadership

Distributed backend systems

MLOps pipelines

Feature stores

LLM integration

NLP/transcript summarization

Cloud platforms (AWS/GCP)

Tools

AWS

GCP

Job description

• 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

Benefits

• The ability to work remotely from any location in the US
• Two company-wide shut-down weeks a year for self-care
• Access to 401(k) personal retirement plan
• Medical, dental, and vision employer insurance plans
• Paid parental leave to support you and your family
• Employee Assistance Programs (EAP) through our insurance
• The equipment you need for your home office
• Pay and benefits that aren't geo-locked

3+ years of experience technically leading or building core ML infrastructure, such as feature stores, MLOps pipelines, model deployment systems, or AI observability platforms

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

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

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

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