Senior Manager of Data, AI Engineering at Syndigo

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.

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.

• 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

• 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

Diversity, Equity & Inclusion

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.