Senior Manager of Data, AI Engineering

Job Summary

Syndigo powers the continual flow of data and content throughout the entire commerce ecosystem—accelerating delivery of accurate and compelling information that increases sales on every shelf. We serve the industry’s largest two-sided network, connecting more than 50,000 global users across 12,000+ global brands with more than 1,750 global retailers.

Responsibilities

• 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
• Communicate complex AI concepts clearly to executive stakeholders

Requirements

• 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

Qualifications

• Results-driven
• Hybrid position requiring 2 days per week in the office at our Chicago location

Benefits

• Competitive health insurance benefits
• PTO and volunteer time off
• Employer-paid short- and long-term disability
• Parenthood and adoption leave
• 401(k)
• Tuition reimbursement

Pay

Budgeted Salary Range is: $180,000 USD - $200,000 USD

Schedule

This is a hybrid position that requires 2 days per week in the office at our Chicago location

Skills

• Strong leadership and communication skills
• Ability to work independently and as part of a team
• Excellent problem-solving and analytical skills
• Experience with cloud platforms and APIs
• Knowledge of LLM/GenAI frameworks

Benefits

• Health insurance benefits
• PTO and volunteer time off
• Short- and long-term disability
• Parenthood and adoption leave
• 401(k)
• Tuition reimbursement