Senior Manager AI Engineering

Staples; Framingham (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

22 days PTO + holidays

401(k) match

Wellness programs

Employee discounts

Job summary

Staples Digital Solutions is scaling AI-powered pricing and decision systems to improve revenue and profitability. The Sr. Manager AI Engineering will lead strategy, delivery, and teams across AI and data engineering to drive measurable business value.

You will guide roadmaps, oversee deployment of pricing elasticity, forecasting, and optimization capabilities, and partner with business and technology leaders to accelerate innovation in a fast-paced enterprise setting.

Qualifications

• Bachelor’s degree in a technical field or equivalent experience.
• 10+ years in enterprise AI, data, analytics, or software engineering.
• 5+ years leading technical analytics or data teams.
• 3+ years in pricing, revenue management, forecasting, or retail analytics.
• Experience producing production AI/ML solutions and cloud platforms.
• Ability to translate business needs into technical solutions with measurable outcomes.

Responsibilities

• Lead roadmap and delivery for pricing AI, forecasting, and optimization solutions.
• Oversee development of price elasticity, demand forecasting, and revenue optimization.
• Apply ML, statistics, forecasting, and optimization to business problems.
• Manage AI/ML platforms, MLOps, and cloud-based engineering using Databricks, Snowflake, Azure AI.
• Define metrics, monitor impact, and drive continuous improvement.
• Partner with cross-functional teams to prioritize work and deliver value.
• Promote AI-assisted development to improve speed, quality, and productivity.
• Lead resources, budgets, and execution across multiple workstreams.
• Recruit, coach, and develop AI and Data Engineering talent.

Skills

Strategic leadership

Technical leadership

Cross-functional collaboration

Analytical problem solving

Communication skills

People development

Prioritization

Education

Bachelor's degree in CS or related

Master's degree preferred

Tools

Databricks

Snowflake

Azure AI

MLOps

Cloud-native architectures

Job description

Staples Digital Solutions is building scalable AI-powered pricing, forecasting, optimization, and decision intelligence capabilities that help improve revenue, margin performance, customer value, and operational efficiency. This team partners across Product, Finance, Merchandising, Revenue Management, Digital, Sales, and Technology to turn complex commercial challenges into practical, measurable business outcomes. As the Sr. Manager AI Engineering you will lead the strategy, development, and delivery of enterprise-grade AI solutions that power smarter pricing and decision-making. You’ll manage AI Engineering and Data Engineering teams, guide technical roadmaps, and work closely with business and technology leaders to deliver solutions that drive growth, improve profitability, and create a better experience for customers and associates.

What you’ll be doing:

• Lead the roadmap and delivery for pricing AI, forecasting, optimization, and decision intelligence solutions.
• Oversee development of capabilities such as price elasticity modeling, demand forecasting, promotion optimization, revenue optimization, and competitive pricing.
• Apply machine learning, statistical modeling, forecasting, and optimization techniques to solve complex business problems.
• Manage AI/ML platforms, MLOps processes, and cloud-based engineering solutions using technologies such as Databricks, Snowflake, and Azure AI.
• Establish performance metrics, monitor business impact, and drive continuous improvement of AI solutions.
• Partner with Product, Finance, Merchandising, Revenue Management, Digital, Sales, and Technology teams to prioritize work and deliver measurable business value.
• Champion AI-assisted software development practices that improve delivery speed, quality, and productivity.
• Manage team resources, budgets, priorities, and execution across multiple high-impact workstreams.
• Lead, coach, recruit, retain, and develop AI Engineering and Data Engineering talent while fostering a culture of innovation, accountability, and continuous improvement.

What you bring to the table:

• Strategic and technical leadership with the ability to connect AI engineering work to business goals.
• Strong commercial judgment and the ability to understand pricing, revenue, margin, and customer-value drivers.
• Analytical problem-solving skills and curiosity for using data to improve decision quality.
• Clear communication skills, including the ability to translate complex AI, analytics, and engineering concepts into business-focused recommendations.
• Cross-functional collaboration and influence across product, business, finance, sales, digital, and technology stakeholders.
• A people-first leadership style focused on coaching, talent development, accountability, and continuous improvement.
• An innovation mindset and comfort leading change in a fast-paced, evolving environment.
• Strong prioritization skills with the ability to balance multiple initiatives, risks, resources, and outcomes.

What’s needed- Basic 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.

What’s needed- Preferred 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.

We Offer:

• Inclusive culture with associate-led Business Resource Groups
• 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
• Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!

The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.