Top Tech Jobs & Startup Jobs

Manage cross-border seller support programs for Walmart Marketplace, overseeing program health, KPIs, business reviews, issue tracking, executive reporting, and operational readiness. Coordinate across support, risk, product, CRM, BPO, change management, and international teams. Identify seller experience and operational risks, develop scalable support mechanisms, resolve recurring friction, and drive alignment for global growth initiatives.

Build production AI systems, including agentic AI services, distributed data and compute pipelines, GPU-accelerated workloads, and scalable microservices. Integrate LLMs, models, vector databases, feature stores, and MLOps tooling while optimizing performance, reliability, observability, security, and cost. Develop SDKs and CLIs, establish CI/CD practices, collaborate with data science and platform teams, and mentor engineers on AI systems and distributed computing.

Manages operations for an assigned facility area by implementing business plans, staffing and scheduling associates, coordinating workloads, monitoring productivity, and maintaining quality and safety standards. Supervises, trains, and develops associates and leaders; resolves customer and supplier concerns; oversees systems installation, maintenance, troubleshooting, inventory, and vendor coordination; analyzes business reports and drives process improvements and business solutions.

Leads advanced analytics initiatives, predictive modeling, data strategy, and end-to-end project execution. Manages and mentors analytics professionals, develops models and prototypes, translates complex data into actionable business recommendations, and partners with leadership and cross-functional teams to drive strategic outcomes and continuous improvement.

Leads large-scale technical programs from planning through delivery, managing cross-functional dependencies, resources, risks, stage gates, and critical paths. Translates product requirements into scalable technical designs with engineering teams, improves workflows through automation, communicates program status and risks to stakeholders, and mentors team members. The role supports modernization of accounting workflows, global platform deployment, operational excellence, and strategic technology initiatives.

Leads Walmart’s performance media strategy, team, and large-scale digital campaigns. Oversees agency and technology partnerships, budget planning, campaign optimization, creative execution, process improvements, and adoption of emerging digital technologies. Collaborates cross-functionally to align media initiatives with marketing and business goals, uses data and customer insights to improve ROI, and mentors team members.

Leads the design, development, and deployment of scalable data platforms and AI applications. Builds cloud-based data pipelines with Python, Scala, Spark, Airflow, and GCP services; ensures data quality, governance, lineage, and modeling. Develops RAG and agentic AI solutions using LangChain and LangGraph, supports SAP e-commerce data flows, monitors pipeline reliability, influences architecture, mentors engineers, and drives cross-functional technical excellence.

Leads Walmart Marketplace Seller Marketing’s marketing technology strategy, roadmap, architecture, governance, and investments. Oversees CRM, automation, personalization, content management, digital platform integration, AI-enabled decisioning, analytics, vendor evaluation, and build-versus-buy decisions. Partners with Product, Engineering, Data, and Marketing teams to translate business needs into scalable capabilities, improve workflows, strengthen measurement, and drive personalized seller experiences across channels and markets.

Leads the design, development, and maintenance of scalable software solutions. Collaborates with cross-functional teams, writes and reviews code, troubleshoots and optimizes systems, contributes to engineering processes, influences architecture, mentors engineers, and drives technical excellence. The role requires strong software engineering experience, knowledge of testing and version control, agile collaboration, and the ability to deliver secure, reliable, maintainable systems.

Lead the end-to-end development and deployment of advanced machine learning models for marketplace risk and ecommerce challenges. Responsibilities include data-source validation, exploratory analysis, feature engineering, model evaluation, scalable ML architecture, stakeholder consultation, and translating business needs into measurable data strategies. The role also requires mentoring technical team members, applying emerging AI techniques, and driving reliable, high-impact data science solutions.