{"id":1334064,"url":"https://alion.io/job/staples-senior-manager-ai-engineering","title":"Senior Manager AI Engineering","company":{"id":1754708,"name":"Staples","domain":"staples.com","url":"https://alion.io/company/staples-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":82,"open_postings":14,"ghost_share":0,"stale_share":0.929,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Framingham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":200000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":817},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"ChatGPT","optional":true},{"name":"Claude","optional":true},{"name":"Copilot","optional":true}],"status":"live","first_seen_at":"2026-07-23T18:26:29Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-01T12:27:52Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"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.\nAs 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.\nWhat you’ll be doing:\nLead the roadmap and delivery for pricing AI, forecasting, optimization, and decision intelligence solutions.\nOversee development of capabilities such as price elasticity modeling, demand forecasting, promotion optimization, revenue optimization, and competitive pricing.\nApply machine learning, statistical modeling, forecasting, and optimization techniques to solve complex business problems.\nManage AI/ML platforms, MLOps processes, and cloud-based engineering solutions using technologies such as Databricks, Snowflake, and Azure AI.\nEstablish performance metrics, monitor business impact, and drive continuous improvement of AI solutions.\nPartner with Product, Finance, Merchandising, Revenue Management, Digital, Sales, and Technology teams to prioritize work and deliver measurable business value.\nChampion AI-assisted software development practices that improve delivery speed, quality, and productivity.\nManage team resources, budgets, priorities, and execution across multiple high-impact workstreams.\nLead, coach, recruit, retain, and develop AI Engineering and Data Engineering talent while fostering a culture of innovation, accountability, and continuous improvement.\nWhat you bring to the table:\nStrategic and technical leadership with the ability to connect AI engineering work to business goals.\nStrong commercial judgment and the ability to understand pricing, revenue, margin, and customer-value drivers.\nAnalytical problem-solving skills and curiosity for using data to improve decision quality.\nClear communication skills, including the ability to translate complex AI, analytics, and engineering concepts into business-focused recommendations.\nCross-functional collaboration and influence across product, business, finance, sales, digital, and technology stakeholders.\nA people-first leadership style focused on coaching, talent development, accountability, and continuous improvement.\nAn innovation mindset and comfort leading change in a fast-paced, evolving environment.\nStrong prioritization skills with the ability to balance multiple initiatives, risks, resources, and outcomes.\nWhat’s needed- Basic Qualifications:\nBachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Economics, Information Systems, or related technical or quantitative field, or equivalent work experience.\n\n10+ years of experience delivering enterprise-scale AI, data, analytics, or software engineering solutions.\n\n5+ years of experience leading technical, analytics, AI, data engineering, or software engineering teams.\n\n3+ years of experience supporting pricing, revenue management, forecasting, optimization, or retail analytics solutions.\n\nExperience developing, deploying, or supporting production AI/ML solutions.\n\nExperience using Python and SQL in AI, machine learning, data engineering, analytics, or software engineering environments.\n\nExperience working with cloud-based data, AI, or engineering platforms.\n\nExperience translating business requirements into technical solutions with measurable outcomes.\n\nWhat’s needed- Preferred Qualifications:\nMaster’s degree in Computer Science, Data Science, Engineering, Statistics, Operations Research, or a related quantitative, analytics, or technology discipline.\nExperience with price elasticity modeling, promotion optimization, demand forecasting, revenue optimization, or competitive pricing capabilities.\nExperience with Databricks, Snowflake, Azure AI, MLOps, or cloud-native architectures.\nExperience using AI-assisted development tools such as GitHub Copilot, Claude, ChatGPT, or similar technologies.\nWe Offer:\nInclusive culture with associate-led Business Resource Groups\n22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)\nOnline and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!\nThe 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.","description_format":"text","description_chars":5112,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Consumer Goods","Gifts, Party Supplies & Souvenirs"],"lifecycle":[{"event":"open","at":"2026-09-27T13:32:17Z"}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.314,"p_room":0.28,"age_days":69,"expected_fill_days":19,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/staples-senior-manager-ai-engineering","json_url":"https://alion.io/job/staples-senior-manager-ai-engineering.json","meta":{"generated_at":"2026-10-01T17:55:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":159,"day_limit":5000,"remaining_today":4841,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}