Top Tech Jobs & Startup Jobs

Leads advanced analytics projects, develops machine learning models and prototypes, performs statistical analysis, builds dashboards and reporting pipelines, and provides data-driven recommendations to business leaders. Manages stakeholder relationships, oversees testing and validation, and leads, mentors, and develops an analytics team. Requires expertise in SQL, Python, R, business intelligence tools, experimentation, feature engineering, model evaluation, and root cause analysis.

Develop and deploy advanced statistical, predictive, and deep learning models for Walmart eCommerce personalization, marketing, and recommendations. Process large distributed datasets using Spark, Hadoop, Hive, and MapReduce; build scalable multi-tenant systems; analyze trends and relationships; and communicate findings to cross-functional teams and conferences. Work includes cloud development, Kubernetes orchestration, data visualization, SQL, research, and publication.

Manages advanced analytics projects, develops predictive models and prototypes, and applies SQL and Python to complex business problems. Builds dashboards, ETL workflows, analytical data models, and data-quality processes. Partners with leadership and cross-functional teams to translate business needs into actionable insights and recommendations. Leads, mentors, and develops an analytics team while overseeing project execution, testing, documentation, and stakeholder communication.

Leads complex, large-scale technical programs across multiple teams and dependencies. Defines goals, delivery milestones, resources, and critical paths; coordinates stakeholders; drives scalable system design; manages risks and mitigation plans; and improves workflows and operational practices. The role requires strong technical knowledge, communication, analytical problem-solving, and the ability to align cross-functional teams while mentoring others and delivering strategic technology initiatives.

Leads finance strategy for Walmart Marketplace’s international growth, including market expansion, business-case development, financial modeling, forecasting, performance management, and evaluation of cross-border, fulfillment, seller, and advertising economics. Partners with global and local finance teams, advises senior leaders, establishes decision frameworks, and ensures growth plans create sustainable enterprise value while maintaining financial accuracy and compliance.

Leads complex, large-scale technical programs across multiple teams and dependencies. Defines goals, stage gates, deliverables, and delivery plans; manages risks, resources, stakeholders, and technical designs. Drives scalable workflows, automation, operational improvements, and cross-functional alignment while communicating program status and mentoring team members. Requires extensive technical program management experience, expertise in system design, cloud infrastructure, APIs, software lifecycle management, and data-driven decision-making.

Leads complex technology programs by defining goals, managing dependencies, coordinating cross-functional teams, translating product requirements into technical designs, mitigating risks, and driving end-to-end delivery. Establishes scalable workflows, communicates progress and impacts to stakeholders, promotes operational excellence, and mentors team members. The role requires strong expertise in technical program management, system design, cloud infrastructure, software lifecycle management, and analytical problem-solving.

Leads complex, large-scale technical programs by defining goals, managing dependencies, securing commitments, and driving end-to-end delivery. Translates product requirements into scalable technical designs, manages risks, improves workflows, aligns stakeholders, and resolves ambiguity. The role also involves mentoring team members, applying data-driven problem solving, and supporting high-availability technology solutions across marketplace, fulfillment, logistics, and seller experience initiatives.

Lead full lifecycle delivery of scalable, secure software and customer data platform features. Responsibilities include coding in multiple languages, designing solutions, implementing CI/CD and automated testing, integrating AI/ML, building real-time data pipelines, resolving production issues, conducting code reviews, collaborating with stakeholders, and mentoring engineers. The role focuses on GCP, big data, Java backend development, streaming technologies, APIs, and enterprise-scale customer data infrastructure.

Leads product vision, strategy, and lifecycle execution for a complex product family. Directs multiple product teams, manages cross-functional trade-offs, owns product-related financial outcomes, and drives customer value. Establishes outcome-based metrics, experimentation, analytics, and AI adoption. Develops product talent, shapes organizational practices, and aligns Engineering, Design, Analytics, and business stakeholders around multi-year roadmaps and measurable results.