**This is a hybrid position that requires 2 days per week in the office at our Chicago location**We're looking for a results-driven
Senior Manager of Data, AI Engineering to build, scale, and lead high-performing teams delivering production-grade AI systems. This role sits at the intersection of engineering, data science, and product - owning the end-to-end lifecycle from concept through deployment, monitoring, and continuous optimization.
You'll play a critical role in shaping our AI strategy, translating business needs into scalable solutions, and driving execution discipline across complex, enterprise-grade systems.
HOW WE'LL BE WINNING TOGETHER DAY TO DAY- Lead and scale AI/ML engineering teams delivering production-ready systems (not just prototypes)
- Drive end-to-end ownership of ML lifecycle: data pipelines, model development, deployment, observability, and iteration
- Partner cross-functionally with Product, Data Science, Architecture, and Engineering to align priorities and execution
- Translate business requirements into AI/ML solutions, technical roadmaps, and delivery plans
- Establish and improve engineering execution standards (planning, estimation, delivery, quality)
- Ensure scalability, reliability, and cost efficiency of AI/ML systems in production
- Build and evolve MLOps practices, including monitoring, model health, and performance optimization
- Use data and metrics to drive decision-making, prioritization, and continuous improvement
- Coach, mentor, and develop engineering talent while raising the overall performance bar
- Communicate complex AI concepts clearly to executive stakeholders
WE SHOULD TALK IF THIS SOUNDS LIKE YOU - 8-12+ years in software engineering, with 4-6+ years in AI/ML or data platforms
- 2-4+ years managing and developing engineering teams
- Proven experience leading teams delivering production-grade AI/ML systems
- Strong experience with:
- ML pipelines, model deployment, and MLOps
- Modern AI stack (Python, Databricks, cloud platforms, APIs, LLM/GenAI frameworks)
- Enterprise-scale data systems and architectures
- Experience driving end-to-end delivery from concept to production and ongoing optimization
- Track record of improving engineering execution and delivery predictability
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
- Experience in enterprise SaaS, data, or AI-driven organizations
- Background in high-growth or transformation environments preferred
Your individual compensation within the budgeted salary range is determined based on your skills, education, experience, and internal equity.
This position is Bonus Eligible.For full-time U.S. based-employees, we offer competitive health insurance benefits, PTO and volunteer time off, employer-paid short- and long-term disability, parental and adoption leave, 401(k), and tuition reimbursement.
Budgeted Salary Range is:
$180,000-$200,000 USD
