Senior Manager AI Engineering
$150,000–$200,000 year
On-siteFramingham, Massachusetts, United States
Job Summary
Lead the roadmap and delivery for pricing AI, forecasting, optimization, and decision intelligence solutions while overseeing development of capabilities such as price elasticity modeling, demand forecasting, promotion optimization, and revenue optimization. Apply machine learning, statistical modeling, and optimization techniques to solve complex business problems, manage AI/ML platforms and MLOps processes using Databricks, Snowflake, and Azure AI, and establish performance metrics to monitor business impact. Partner with Product, Finance, Merchandising, Revenue Management, Digital, Sales, and Technology teams to prioritize work and deliver measurable business value, championing AI-assisted software development practices to improve delivery speed and quality. Manage team resources, budgets, and execution across multiple high-impact workstreams while leading, coaching, and developing AI Engineering and Data Engineering talent.
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Economics, Information Systems, or related technical or quantitative field, or equivalent work experience
- 10+ years of experience delivering enterprise-scale AI, data, analytics, or software engineering solutions
- 5+ years of experience leading technical, analytics, AI, data engineering, or software engineering teams
- 3+ years of experience supporting pricing, revenue management, forecasting, optimization, or retail analytics solutions
- Experience developing, deploying, or supporting production AI/ML solutions
- Experience using Python and SQL in AI, machine learning, data engineering, analytics, or software engineering environments
- Experience working with cloud-based data, AI, or engineering platforms
- Experience translating business requirements into technical solutions with measurable outcomes
Desired Qualifications
- Master's degree in Computer Science, Data Science, Engineering, Statistics, Operations Research, or a related quantitative, analytics, or technology discipline
- Experience with price elasticity modeling, promotion optimization, demand forecasting, revenue optimization, or competitive pricing capabilities
- Experience with Databricks, Snowflake, Azure AI, MLOps, or cloud-native architectures
- Experience using AI-assisted development tools such as GitHub Copilot, Claude, ChatGPT, or similar technologies
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