Top Tech Jobs & Startup Jobs

Lead FP&A for Seller Fulfilled, Local Marketplace, and Cross-Border eCommerce: build financial models, analyze variances, report to senior leadership, manage controls, drive process improvements, and supervise associates.

Lead the design, development, testing, deployment, and support of scalable backend software solutions. Own feature and model delivery, write reliable code, integrate AI and machine learning capabilities, conduct code reviews, debug applications, monitor performance, and contribute to continuous improvement. Collaborate with cross-functional stakeholders, translate designs into technical solutions, define success metrics, mentor peers, and ensure secure, maintainable, customer-focused outcomes.

Leads advanced analytics and payment strategy initiatives across global marketplaces. Develops data models, algorithms, prototypes, and business intelligence solutions; assesses financial losses and risks; manages end-to-end project workstreams; and delivers actionable insights to leadership. The role partners cross-functionally to support strategic decision-making, improve seller payment experiences, and drive measurable business value while maintaining strong stakeholder relationships and ethical standards.

Manages supplier performance across perishable transportation operations, ensuring OTIF and LOS compliance. Monitors logistics KPIs, identifies risks, leads root-cause analysis, resolves freight-flow barriers, and implements corrective actions. Partners with suppliers, carriers, merchants, replenishment, and operations teams to improve transportation reliability, optimize network performance, and drive continuous improvement through data analysis and stakeholder influence.

Manages retail partner relationships and analyzes sales, pricing, and KPI data to identify growth opportunities. The role develops account strategies, resolves escalated partner issues, supports onboarding and integration, generates performance reports, collaborates cross-functionally, and mentors team members across retail merchandise categories.

Leads the design and delivery of scalable marketplace platform capabilities, including cloud-native distributed systems, AI/ML integrations, microservices, and real-time data processing. Oversees software development lifecycle activities across multiple teams, influences architecture, mentors engineers, and ensures reliability, performance, and continuous improvement. Responsibilities include coding, testing, deployment, monitoring, incident response, technical documentation, stakeholder collaboration, and development of high-availability services using Golang, Java, Scala, Kafka, Kubernetes, and multiple databases.

Analyzes data from multiple sources, performs validation and quality assessments, develops dashboards and visualizations, conducts exploratory analysis, investigates data exceptions, documents data definitions, and supports governance, process improvement, and automation initiatives. Collaborates with business, product, and engineering stakeholders to translate requirements into analytical solutions and communicate actionable insights.

Develop financial analyses, P&Ls, business cases, and scenario models supporting eCommerce decisions. Partner with leaders to evaluate investments, profitability, ROI, risks, tradeoffs, and sustainable growth. Analyze complex data, challenge assumptions, identify dependencies, and translate findings into actionable recommendations. The role also emphasizes AI-enabled automation, cross-functional influence, sound judgment, and balancing analytical rigor with decision speed.

Leads the architecture and development of scalable, production-grade machine learning systems. Oversees the full ML lifecycle, including data sourcing, feature engineering, modeling, deployment, monitoring, validation, and responsible AI practices. Drives advanced applications of deep learning, NLP, reinforcement learning, and multimodal techniques. Mentors engineers, influences technical strategy, collaborates across teams, and promotes engineering excellence through system design, technical writing, and knowledge sharing.

Lead strategy and execution for complex, multi-product initiatives from discovery to value realization. Define vision, roadmaps, and success metrics; use data-driven analysis, experimentation, and customer insights to prioritize work. Collaborate across Engineering, Design, and Analytics, influence technical direction, mentor product managers, and identify AI and other innovation opportunities to improve product performance and customer experience.