Senior ML Engineering Manager: AI Quality & Governance

Visa Hunt; United States; On-site; USD 193,000 - 308,000; Full time

Benefits offered by this job

Discretionary bonus

Restricted Stock Units

401(k) match

Comprehensive employee benefits

Job summary

Workiva is seeking a Sr Machine Learning Engineering Manager - AI Quality and Governance to lead a multidisciplinary team focused on end-to-end quality across our AI platform and products. The role encompasses building shared evaluation capabilities, governance, and enterprise-ready testing for generative AI, RAG, and agentic systems.

You will partner with Product, Engineering, Data Science, Security, Risk, and Legal to embed quality standards throughout the AI lifecycle, driving production

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).
• 10+ years in software engineering, ML engineering, quality engineering, or related roles, including 4+ years leading an engineering team.
• Strong software engineering and systems-design fundamentals, with experience delivering and operating production SaaS or platform capabilities.
• Demonstrated experience establishing automated quality practices for distributed, cloud-based products.
• Practical understanding of the generative AI development lifecycle and challenges of evaluating nondeterministic systems.
• Experience with generative AI concepts: LLMs, RAG, embeddings, vector/hybrid search, agents, tool use, and prompt orchestration.
• Experience defining measurable quality criteria using data, experimentation, telemetry, and production signals.
• Experience with cloud-native architectures on AWS, Azure, or GCP.
• Proven ability to lead senior individual contributors, navigate technical disagreements, and build high-performance cultures.
• Strong communication and cross-functional leadership skills.

Responsibilities

• Lead, mentor, and develop a multidisciplinary team of software, ML, and quality engineers.
• Build a culture of technical excellence, quality ownership, experimentation, and continuous improvement.
• Establish clear team priorities while balancing platform investments, product needs, and enterprise risk.
• Recruit engineers with complementary expertise across software quality, ML evaluation, platform engineering, and governance automation.
• Define and drive a comprehensive quality strategy for AI platform and products, spanning unit to production testing.
• Establish measurable quality bars, release-readiness criteria, and automated quality gates for AI and agentic capabilities.
• Advance testing approaches for nondeterministic systems including RAG pipelines, agents, prompts, models, tools, and multi-step workflows.
• Detect regressions, model or data drift, unsafe behavior, and degraded customer experiences.

Skills

Leadership

Software engineering

ML engineering

Quality engineering

Cloud-native architectures

Communication

Cross-functional leadership

Kubernetes

DevOps/MLOps

Education

Bachelor's degree (CS/Engineering/Data Science)

Master's degree (preferred)

Tools

Kubernetes

CI/CD

Job description

Workiva is seeking a Sr Machine Learning Engineering Manager - AI Quality and Governance to lead a multidisciplinary team focused on end-to-end quality across our AI platform and products. The role encompasses building shared evaluation capabilities, governance, and enterprise-ready testing for generative AI, RAG, and agentic systems.

You will partner with Product, Engineering, Data Science, Security, Risk, and Legal to embed quality standards throughout the AI lifecycle, driving production