Usermind · 15 hours ago
MANAGER, MACHINE LEARNING
Seattle, WA
Full-time
Hybrid
Senior Level, Lead/Staff
$222K/yr - $319K/yr
10+ years expQualtrics is a leading company in Experience Management, creating software for exceptional frontline experiences. The Machine Learning Engineering Manager will lead a team in developing AI/ML components and manage the model development lifecycle, ensuring the delivery of scalable and secure AI solutions.
Business IntelligenceMarketing AutomationSaaSSales AutomationSoftware
Responsibilities
Connect Strategy to Execution: Translate organizational priorities into a clear, actionable technical vision and long-term roadmap for the AI Core Platform, aligning work with the broader mission
Drive Technical Excellence: Build a scalable, highly-available, and cost-efficient ML platform services to deliver delightful user experiences and ensure community safety
Innovation & Adoption: Direct the evaluation and integration of new ML frameworks, including LLMs, Generative AI, and agentic solutions, keeping Qualtrics at the forefront of Experience Management (XM) AI
Build strong, trust-based relationships across Product, Data Infrastructure, and ML/Applied Science teams. Drive technical consensus and coordinate execution for large, cross-cutting platform initiatives and roadmap for our AI platform
Instill an MLOps culture, standardizing best practices in feature engineering, model observability, governance, and infrastructure
Define and gain alignment on a multi-quarter technical roadmap for one or more critical platform areas (e.g., LLM Serving or the Feature Store), demonstrating a clear plan for scalable, measurable impact
Run Team Operations with Structure and Empathy: Lead execution through consistent team rituals (planning, retrospectives, one-on-ones), balancing structure with empathy for alignment and psychological safety
Stay hands-on by participating in code reviews, technical design discussions, and occasionally contributing to the codebase
Instill best practices for software development and documentation, ensuring high-quality deliverables on time
Actively manage, mentor, and coach your team, fostering professional development and strong team culture
Work closely with global clients to provide solutions and ensure outstanding customer experiences
Recruit, hire, and develop top engineering talent to build a world-class team
Qualification
Required
10+ years of total experience in ML engineering, focusing on large-scale data, distributed systems, or ML infrastructure
3+ years of direct people management, leading high-performing ML teams, building models for business application experience and development of senior/staff talent
Proven ability to build and lead engineering teams with strong product ownership and end-to-end accountability
Deep technical knowledge in building and operating AI/ML Platforms supporting the full model lifecycle, including orchestration
Experience building and shipping enterprise-grade AI solutions for global customers
Demonstrated success as an engineering manager, showing measurable outcomes like improved velocity, reduced cycle time, and scaling teams through high-growth AI apps
Successful track record leading complex, cross-functional initiatives across distributed teams, aligning engineering execution with product/business goals
Strong grasp of SRE and MLOps principles, expertise in system scalability, cloud cost optimization, AI observability, and production security
Experience programming in Java, C++, Python or related language
Hands-on experience with real-time AI and Agentic services (e.g., Kubernetes, Sagemaker, Bedrock, Langgraph) and deploying GenAI applications, LLMs, or agent frameworks
Preferred
Experience establishing and managing cloud infrastructure budgets (e.g., AWS, GCP, Azure) by designing for efficiency and scale
Experience building or contributing to open-source tools within the ML ecosystem
Experience with FedRAMP, ISO 42001, GDPR, PCI, HIPAA and other standards
Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, or a related technical field
Benefits
Personalized Career Action Planning
Annual experience bonus
Medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus.
Company
Usermind
Usermind's customer experience platform optimizes real-time customer interactions to improve business outcomes.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$60.2MKey Investors
WestRiver GroupNorthgate CapitalMenlo Ventures
2021-07-20Acquired
2021-01-26Series C· $14M
2020-06-04Series Unknown
Recent News
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2026-01-06
2026-01-06
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