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 are the recognized leader in software and services for the management of master data, product information, digital assets, and content syndication and analytics across industries including grocery, foodservice, hardlines, home improvement, oil & gas, pet, health and beauty, automotive, apparel, and healthcare products.
Syndigo serves 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.
Basically, we're the people that deliver the rich, accurate product content that helps consumers shop online with confidence, and helps brands and retailers operate efficient product supply chains. We cannot do all of this without our amazing employees who make the magic happen here at Syndigo. As we continue to grow, we’re always looking to identify talented individuals to join our team.
**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.
To achieve the best version of our organization, we know it takes new ideas, new approaches, new perspectives and new ways of thinking. A purpose we are 100% committed to cultivating.
Diversity is woven into our fabric at Syndigo and it’s how we stay an industry leader, innovating technology solutions that equip our customers with everything they need to be successful!
All are welcome here and we invite you to join our team if you are ready to help us continue that growth!
GDPR/CCPA
Syndigo, to process applications, holds onto data for a "reasonable time" after applications are submitted. This data is stored for Syndigo's internal use by HR/Recruiting Staff only. Verified requests for data deletion and exports will be completed upon request.
Syndigo Job Applicant Privacy Notice
At Syndigo, we care about your privacy. As you go through our recruitment process, we are committed to being transparent about how we process your personal data. To learn more about how Syndigo processes your personal data, go to our Job Applicant Privacy Notice.
Skills Required
- 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
- Experience with modern AI stack: Python, Databricks, cloud platforms, APIs, LLM/GenAI frameworks
- Experience with 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
Syndigo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Syndigo and has not been reviewed or approved by Syndigo.
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Healthcare Strength — Healthcare offerings are positioned as comprehensive, including PPO and HDHP options with an employer HSA contribution, plus dental, vision, disability coverage, and mental-health support. Optional add-ons like pet insurance and access to wellness programs further strengthen perceived coverage breadth.
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Leave & Time Off Breadth — Time-off policies are framed as generous, with PTO scaling by tenure alongside paid holidays and dedicated volunteer time. Additional schedule-oriented perks such as summer Fridays and meeting-free quiet hours reinforce flexibility around time usage.
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Retirement Support — Retirement benefits include a 401(k) plan with an employer match structure that is described as decent for a mid-market employer. Supplemental financial benefits like commuter pre-tax options and basic life insurance add to the overall rewards mix.
Syndigo Insights
What We Do
Syndigo is the industry’s only trusted single-source provider of consumer product information and content from supply chain to end customer utilization, offering a powerful end-to-end product content experience across multiple industries. Syndigo is raising the standard of what great product experiences can be.
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