Staff Economist - Customer Technology

Location: Mountain View, California, United States

Annual base salary: USD 300,000

Company

hirify.global is an e-commerce technology company building online shopping experiences and marketplace systems for the home.

What you will do

• Define economic and scientific frameworks for optimizing customer experience, supplier value, marketplace health, and long-term platform economics.
• Develop ranking, allocation, pricing, incentive, and auction mechanisms for customer- and supplier-facing systems.
• Shape Search, Recommendations, and Advertising systems through personalization, multi-objective optimization, and economic arbitration.
• Advance experimentation and causal inference methods for environments involving interference, selection effects, network effects, and heterogeneous treatment effects.
• Build intelligent decision systems for targeting, bidding, budget allocation, ranking, personalization, bandits, and reinforcement learning.
• Provide technical leadership, mentor economists, scientists, and engineers, and influence senior product, engineering, commercial, and executive stakeholders.

Requirements

• PhD in Economics, Econometrics, Quantitative Marketing, Statistics, Computer Science, or a related quantitative STEM field with 8+ years of industry experience, or a master’s degree with 10+ years of industry experience.
• 5+ years of experience as a Technical Lead or Science Lead in Advertising Science, Retail Media Networks, Marketing Technology, or multi-sided marketplace optimization.
• Experience translating advanced economic or statistical methods into large-scale production systems and business decisions.
• Strong knowledge of machine learning and AI, including foundation models, generative recommendation, sequential user modeling, multimodal learning, ranking, personalization, bandits, reinforcement learning, and multi-objective optimization.
• Strong quantitative modeling and computational skills, including modern AI-assisted and agentic coding workflows.
• Experience setting technical direction across organizational boundaries and partnering with Product, Engineering, and Business leadership on multi-year roadmaps.

Nice to have

• Experience with large-scale consumer or marketplace systems, e-commerce, search, recommendations, advertising, marketing, or pricing.
• Expertise in dynamic pricing, auction design, contextual bandits, reinforcement learning, causal machine learning, or market design.
• Experience with generative recommendation, foundation models, multimodal systems, or agentic AI.
• Publications, patents, or participation in research communities such as ACM EC, KDD, NeurIPS, ICML, RecSys, SIGIR, WSDM, or Marketing Science.

Culture & Benefits

• Comprehensive medical, financial, and additional employee benefits.
• Equity, bonuses, commissions, and other compensation may be provided depending on the position.
• Equal-opportunity workplace with reasonable accommodations for qualified individuals with disabilities.
• Collaboration across Science, Product, Engineering, Commercial, and executive teams.