Qualtrics · 1 week ago
Manager, Machine Learning
Seattle, WA
Full-time
Hybrid
Senior Level, Lead/Staff
$222K/yr - $319K/yr
10+ years expQualtrics is a leader in Experience Management, creating software for exceptional frontline experiences. The Manager of Machine Learning will lead a team in developing AI/ML components and ensure the architecture and operation of core services, while driving technical excellence and innovation in the AI Core organization.
ConsumerData IntegrationMarket ResearchSaaS
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
Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development
Medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus
Company
Qualtrics
Qualtrics is a single system of record for all experience data, managing customer, product, employee, and brand experiences on one platform.
5001-10000 employees
H1B Sponsorship
Qualtrics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (99)
2024 (61)
2023 (53)
2022 (111)
2021 (86)
2020 (52)
Funding
Current Stage
Public CompanyTotal Funding
$1.4B2023-06-28Private Equity
2023-06-28Debt Financing· $1B
2023-03-12Acquired
Leadership Team
Brian Stucki
President & COO
JoCee Porter
Software Engineer
Recent News
Fierce Healthcare
2025-12-22
Company data provided by crunchbase