Senior Manager AI Engineering

Be the reason that every challenge has an innovative solution.

When we’re curious and collaborative, there’s no limit to what we can create.

Be the reason — the expertise you bring to the table, your passion for experimenting, and your ability to see the possibilities in each challenge. Join us and reimagine the customer experience. We’ll surround you with a team that inspires and the tools to innovate. It’s everything you need to move us forward, along with your career.

Framingham, Massachusetts, United States

Remote/On-site On-site

Job 72368

Category Technology, E-Commerce & Data Science

Date posted 07/23/2026

Pay Range $157,000 - $217,000 plus annual incentive

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.

• 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 work streams.
• Lead, coach, recruit, retain, and develop AI Engineering and Data Engineering talent while fostering a culture of innovation, accountability, and continuous improvement.

• 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.

• 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.