Engineering Manager – AI/ML

Rula

. Enable Rula’s AI Engineering team through technical leadership across applied product capabilities and foundational ML platforms .

Posted 9/21/2026full-timeRemote • United StatesSeniorLead💰 $208,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering and machine learning, with a focus on architecting and scaling AI/ML infrastructure. Proven ability to lead high-performing teams and deliver user-facing AI features in regulated environments.

Highest-signal resume keywords

Machine Learning ExperienceCloud Environments (AWS, GCP)Engineering ManagementAI Infrastructure DevelopmentUser-Facing Product Delivery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMachine LearningDistributed Backend SystemsFeature StoresMLOps PipelinesModel Deployment SystemsNLPTranscript SummarizationSearch RelevanceAI Observability

Soft Skills

Technical LeadershipCoachingExecution SpeedRadical CandorClinical Safety Judgment

Tools & Technologies

AI Development ToolsAutomated Testing BotsAdvanced IDE IntegrationsLLM Evaluation Frameworks

Industry Keywords

HealthTechFinTechRegulated EnvironmentsAI SolutionsTechnical Debt

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Enable Rula’s AI Engineering team through technical leadership across applied product capabilities and foundational ML platforms
Guide a highly AI-native group of Senior and Staff engineers
Rapidly deliver user-facing features such as transcript summarization and search relevance
Architect core AI/ML infrastructure such as feature stores and AI observability platforms
Apply strong execution speed, Radical Candor in coaching, and rigorous clinical safety judgment
Ensure AI solutions and models scale safely
Shape Rula’s AI engineering culture and drive technological synergy to transform mental healthcare delivery and experience

Requirements

What you’ll need

8+ years of professional software engineering and machine learning experience
5+ years designing, scaling, and deploying distributed backend systems in cloud environments such as AWS and GCP
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 technically leading or building core ML infrastructure, such as feature stores, MLOps pipelines, model deployment systems, or AI observability platforms
2+ years directing or developing production-grade applied AI features, specifically LLM integrations such as NLP, transcript summarization, or RAG, or search, ranking, and relevance engines
Proven operational track record managing delivery of user-facing product features and backend infrastructure platform work across multiple production release cycles
Preferred: experience shipping advanced AI systems in high-stakes, regulated environments such as HealthTech or FinTech
Preferred: hands-on experience designing production-ready LLM evaluation frameworks using automated metrics, LLM-as-a-judge, and Human-in-the-Loop processes
Preferred: practiced philosophy and experience using AI development tools such as coding agents, advanced IDE integrations, and automated testing bots
Preferred: experience prioritizing short-term product delivery against long-term platform investments, technical debt, and infrastructure scaling

Benefits

Comp & perks

100% remote work environment
Working hours to support a healthy work-life balance
Transparent pay ranges regardless of location in the United States
Medical, dental, vision, life, disability, and FSA/HSA benefits
401(k) plan access
Generous time-off policies, including 2 company-wide shutdown weeks each year for self-care for most employees
Paid parental leave for birthing, non-birthing, adopting, and fostering parents
Employee Assistance Program (EAP)
Quarterly department stipend for team-building activities or in-person gatherings
Community and employee resource groups
New hire home office stipend
$50 monthly internet or cell phone stipend
Year-round wellness initiatives
$50/month wellness stipend
Equity