Engineering Manager - AI/ML

Rula; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote-first

Transparent pay ranges

Health benefits

401(k)

Time-off policy

Parental leave

EAP

Dept stipend

Home office stipend

Wellness stipend

Job summary

Rula is seeking an Engineering Manager for AI/ML to lead a high-performing AI-native team. You will guide senior engineers to rapidly deliver features such as transcript summarization and search relevance while shaping core AI/ML infrastructure like feature stores and observability platforms.

You will balance rapid execution with rigorous safety, ensuring models scale safely and governance is maintained across deployments.

Qualifications

• 8+ years in software engineering and ML, with distributed backend design in cloud environments
• 3+ years engineering management, hiring and leading Senior/Staff engineers
• 3+ years leading core ML infrastructure (feature stores, MLOps, deployment, observability)
• 2+ years delivering production AI features including NLP / transcript summarization / search
• Experience delivering both user features and backend platform work across releases

Responsibilities

• Lead AI/ML engineering team to deliver user-facing features like transcript summarization and search relevance
• Architect and scale core ML infrastructure (feature store, observability, pipelines)
• Balance execution speed with rigorous safety and clinical considerations
• Drive cross-functional collaboration to align product and platform initiatives
• Ensure reliable delivery across multiple production release cycles

Skills

Software engineering & ML leadership

Engineering management

ML infrastructure

LLM integration & NLP

Release management

Tools

Feature stores

MLOps pipelines

Model deployment

AI observability

Job description

At Rula, we are a remote-first company that believes mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.

We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.

We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.

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.

We're serious about your well-being! As part of our team, full-time employees receive:

• 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii)

• Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States

• Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA

• 401(k) plan access: Start saving for your future

• Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)

• Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering

• Employee Assistance Program (EAP): Supporting your mental and physical health

• Quarterly department stipend: Fun team-building activities or in-person gatherings

• Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all

• Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses

• Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend

Our team

We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.