Senior Manager, Ai/Ml Engineering
syndigo
Chicago, Illinois, United States
AI
Job Score
80 pts
On-site model (+70)
AI (+10)
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 Sr. Manager, AI/ML 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
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.
Your individual compensation within the budgeted salary range is determined based on your skills, education, experience, and internal equity. This position is Bonus Eligible.
Budgeted Salary Range:
$180,000—$200,000 USD
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.
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.
About Artificial Intelligence
Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.
Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.
AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Information Security
The Information Security area is one of the most strategic and in-demand fields in the technology market. With the rise of cyberattacks, data breaches, and regulations like LGPD and GDPR, companies of all sizes invest heavily in professionals who can protect their digital assets.
Key specializations include Network Security, Cloud Security (AWS, Azure, GCP), Offensive Security (Penetration Testing, Red Team), Defensive Security (SOC, Blue Team), AppSec, and Security Governance. Tools like SIEM (Splunk, QRadar), firewalls, EDR, and Vulnerability Management platforms are essential.
Certifications like CISSP, CEH, OSCP, CompTIA Security+, and AWS Security Specialty are important differentiators. Information security professionals are among the highest-paid in the sector, with growing demand especially in fintechs, healthtechs, and large enterprises.
About Administrative
The Administrative area is responsible for ensuring the efficient functioning of all organizational operations. Administrative professionals manage processes, human resources, procurement, and facility management.
Key skills include process management, Office 365, administrative ERPs, compliance, and people management. Knowledge of automation and AI tools is becoming increasingly relevant.
The digitization of administrative processes has created new opportunities for professionals who master technology and management.
About Sales
The Sales area is responsible for generating revenue and expanding the customer base. B2B and B2C sales professionals are fundamental for sustainable growth of any organization.
Key skills include prospecting, negotiation, CRM (Salesforce, HubSpot), sales enablement, and value consulting. The consultative and data-driven approach is increasingly valued.
Consultative sellers and senior Sales Managers have very high earning potential, with OTE (On-Target Earnings) that can exceed monthly salaries in technology companies.
About Scrum Master
The Scrum Master is the professional responsible for facilitating the adoption of Scrum and agile practices within development teams. They act as servant leaders, removing impediments, promoting continuous improvement, and ensuring Scrum events and ceremonies happen in the best possible way.
Key skills include event facilitation (sprint planning, daily, review, retrospective), backlog management, team coaching, conflict resolution, and agile metrics (velocity, burndown, cycle time). Knowledge of Jira, Trello, Azure DevOps, and frameworks like Kanban, XP, and SAFe is a differentiator.
Scrum Masters in technology companies are highly valued, especially those who can promote team autonomy, create psychologically safe environments, and lead agile transformations at scale. The field offers opportunities from junior scrum master to agile coach, head of agile, and director of agile transformation.
About Backend
The Backend area is responsible for all server logic, APIs, databases, and infrastructure that support web and mobile applications. Backend professionals ensure that systems are scalable, secure, and performant.
Key skills include languages like PHP, Java, Python, Ruby, Go, and Node.js, frameworks like Laravel, Spring Boot, Django, and Express, databases (MySQL, PostgreSQL, MongoDB, Redis), software architecture (clean architecture, DDD, microservices), and API security (OAuth, JWT).
Backend developers in technology companies are highly valued, especially those who master microservices architecture, cloud computing, and high-scale performance. The field offers opportunities from junior developer to software architect, with a focus on scalability, security, and efficiency.