Director, Technology Operations

Walmart • Bentonville, AR

3d • $110,000 - $220,000

About The Position

As Director of Technology Operations for MP Agentic solutions, you will lead the operational backbone enabling Walmart Marketplace's next generation of AI-powered, agentic solutions. You will drive the design, monitoring, and continuous improvement of large-scale programs that bring agentic AI capabilities from concept to production—safely, efficiently, and at the speed the business demands. This role sits at the intersection of AI platform operations, marketplace business strategy, and enterprise execution. You will own the operational infrastructure that allows agentic systems—autonomous AI that can reason, plan, and act on behalf of associates and sellers — to scale reliably across Walmart's global marketplace footprint. You will work backwards from the challenges and opportunities our MP associates face in their day to day functions, as well as work backwards from our LRP aspirations – it will include working across 7+ officers and their organizations in seller and item acquisition, category planning and account management, seller success which includes pricing incentives and listing quality, Seller risk, seller standards, Seller support and risk operations, WFS, Seller Fulfilled, cross border, global marketplaces in US, CA, MX, CL as well as sellers based in 16+ countries and growing. Your priority and primary goal will be to identify the opportunities to inject/build agentic solutions for our associates and our sellers with the intent to create a highly efficient, effective and AI empowered workforce – and sellers. About MP Global Agentic Solutions At Walmart, we serve hundreds of millions of customers and work alongside hundreds of thousands of sellers, who trust us to help them operate on a trustworthy platform and transact. The Global MP Agentic team exists to supercharge that mission—harnessing the power of agentic AI to make Walmart Marketplace the easiest, trustworthy and most intelligent place on earth to sell and to shop. Our agents won’t just assist—they will act. From autonomously guiding sellers through onboarding, setup and lifecycle, to empowering our MP associate workforce to automate and scale their capabilities of seller acquisition, item acquisition, seller and item setup, seller support functions, account management functions, ambiently finding bad actors/items - our agentic systems will be purpose-built to remove friction, unlock scale, and grow the breadth and depth of Walmart's global assortment and seller base. Seller Growth at Scale: Agentic systems that recruit, onboard, and accelerate sellers globally—reducing time-to-first-sale and expanding Marketplace assortment across categories and geographies. Intelligent Catalog Expansion: Autonomous agents that enrich, validate, and optimize product listings—ensuring quality, discoverability, and compliance at a pace no human team could match. Shopper-First Commerce: AI that understands intent, personalizes discovery, and empowers sellers to build and serve the products our customers want —strengthening loyalty and driving conversion across every channel. Operational Excellence: Agentic workflows that streamline the end-to-end Marketplace experience—from pricing and inventory intelligence to dispute resolution and fulfillment coordination.

Requirements

• Minimum Qualifications Option 1: Bachelor's degree in Computer Science, Management Information Systems, Engineering, Business, Information Technology, Finance, or related area and 6 years' experience in program management, technology operations, AI/ML program delivery, or related area. Option 2: 8 years' experience in program management, technology operations, AI/ML program delivery, or related area. 3 years' experience operating within or alongside AI/ML or platform engineering organizations.
• AI & Platform Operations & Delivery Leadership
• Agentic AI systems
• Program management
• Stakeholder influence
• LLM / ML infrastructure
• Risk identification
• Executive communication
• AI safety & governance
• Financial management
• Cross-functional alignment
• AI observability
• Roadmap sequencing
• Business operations
• Marketplace platforms
• Scenario planning
• Continuous improvement
• Respect the Individual Creates a discipline and focus around developing talent through feedback, coaching, and developmental opportunities. Builds strong, trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; communicates and listens attentively with energy and positivity to motivate, influence, and inspire commitment and action.
• Act with Integrity Maintains and promotes the highest standards of integrity, ethics, and compliance. Models Walmart values and leads by example. Ensures teams follow the law, code of conduct, and company policies. Acts as an altruistic servant leader—consistently humble and self-aware.
• Serve Our Customers and Members Delivers expected business results while putting the customer and seller first. Adopts a holistic perspective that considers data, analytics, and customer/seller insights across the Marketplace when making plans and implementing agentic strategies.
• Strive for Excellence Consistently raises the bar and seeks to improve. Demonstrates curiosity and a growth mindset—especially regarding emerging AI capabilities. Drives continuous improvements, supports adoption of new agentic technology, and champions digital disruption aligned to Walmart's business model.

Nice To Haves

• Master's degree in Computer Science, AI/ML, Engineering Management, Business, or related area and 5 years' experience in AI program delivery or technology operations.
• Hands-on familiarity with agentic AI frameworks (e.g., LangChain, AutoGen, multi-agent orchestration systems) and LLM infrastructure (e.g., model serving, fine-tuning pipelines, RAG architectures).
• Experience delivering AI/ML programs within large-scale e-commerce or marketplace platforms.
• Demonstrated knowledge of AI governance, responsible AI practices, and safety evaluation frameworks.
• Knowledge of digital accessibility best practices, including WCAG 2.2 AA, and experience integrating accessibility into AI-powered product experiences.

Responsibilities

• Agentic Program Definition & Architecture Apply knowledge of program management frameworks and AI/ML platform dependencies to define integrated operational plans for large-scale agentic deployments (10+ domains across Marketplace). Define charters, statements of work, module owners, and performance baselines for all agentic platform modules—from LLM inference infrastructure to agent orchestration layers and marketplace integrations. Apply understanding of AI/ML operational factors—model latency, reliability, drift, safety guardrails—and their interdependencies with business functions to recommend solutions that work across Marketplace verticals. Translate ambiguous agentic business goals (e.g., 'autonomous seller onboarding') into clear, executable program definitions with measurable outcomes.
• Risk Estimation & Agentic Safety Operations Leverage risk assessment frameworks and AI-specific risk tooling to ensure the safe, reliable scaling of autonomous systems: Identify and categorize risks unique to agentic deployments: hallucination risk, agent loop failures, unintended autonomous actions, model versioning drift, and regulatory exposure. Design scenario-based response plans and red-team exercises for agentic failure modes across multiple concurrent Marketplace programs. Define success measures and milestone gates reflecting both technical performance (latency SLAs, safety metrics) and business impact (GMV lift, seller NPS, buyer conversion).
• Program Monitoring, Control & AI Observability Use program monitoring processes and AI observability tooling to maintain visibility and control across the full agentic stack: Decompose agentic program KPIs into actionable metrics for individual AI teams—model teams, platform engineers, product, and data science. Track program progress and develop forecasts that account for AI-specific volatility: experiment velocity, model retraining cycles, and infrastructure provisioning timelines. Guide teams on implementation and use of AI governance and observability tools to improve throughput, safety, and effectiveness of agentic Marketplace programs.
• Financial Management & AI Investment Stewardship Own the financial lens for agentic platform investments within Marketplace: Create, manage, and monitor program budgets spanning GPU compute, model serving infrastructure, data labeling, and engineering talent. Provide AI-specific estimation and budgeting inputs to Annual Operating Plans (AOPs) and Long Range Plans (LRPs). Project and track the ROI of agentic investments, connecting infrastructure spend to measurable Marketplace outcomes.
• AI Platform & Technology Landscape Awareness Maintain and apply current knowledge of the agentic AI technology landscape to inform operational and investment decisions: Understand the strategic linkages between LLM/agent infrastructure, Marketplace systems, and broader Walmart platform strategy. Evaluate and implement proposed scenarios for agentic initiatives, providing technical insights that influence executive decision-making. Translate Marketplace business requirements into AI strategies, initiatives, and executable projects aligned to enterprise objectives. Challenge AI architecture assumptions within your domain; develop new org-wide processes for agentic operations and teach best practices broadly.
• Stakeholder Alignment & Executive Communication Communicate complex agentic AI considerations—architecture trade-offs, safety constraints, capacity requirements—clearly to both technical and business audiences. Independently prepare concise, logically structured executive materials covering risks, opportunities, and decisions for senior Walmart leadership. Influence engineering, product, data science, and governance teams to take meaningful action through sound, fact-based recommendations.
• Business Operations & Continuous Improvement Design planning processes and decision-making channels suited to the fast, iterative cadence of agentic AI development. Develop business cases for agentic investments; review and challenge cases from partner teams with a critical, outcome-oriented lens. Proactively identify process inefficiencies and drive repeatable, scalable operational improvements across the Marketplace AI portfolio.

Benefits

• At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.
• The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses.
• Additional compensation for certain positions may also include : - Stock

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 1-10 employees