Responsibilities

• Serve as the programmatic lead, helping define the team’s mandate, operating model, and standards of excellence
• Build, hire, and develop a high-performing team across programmatic trading, ad operations, analytics, and client strategy
• Establish scalable processes, documentation, workflows, and decision rights to support a growing portfolio of retail clients
• Set the cultural and operational foundation for a disciplined, accountable, and analytically rigorous media investment team
• Lead programmatic strategy across a robust portfolio of retail clients, aligning media investment decisions to each client’s commercial objectives
• Develop client-specific investment theses across display, video, CTV, audio, DOOH, and emerging channels
• Establish allocation frameworks that balance performance, growth, efficiency, and risk across multiple client portfolios
• Identify opportunities to expand client relationships through stronger performance, improved measurement, and new media investment opportunities
• Own the design and optimization of bidding strategies across DV360, The Trade Desk, Amazon DSP, and other relevant platforms
• Partner with product, data science, and engineering teams to help shape the AI trading platform roadmap, ensuring it reflects trader workflows, client needs, and real-world market dynamics

Requirements

• 8+ years of experience in programmatic media, digital investment, or performance marketing, including leadership experience within a trading desk, in-house programmatic function, or media investment organization
• Proven track record building and scaling programmatic capabilities within a fast-growing, client-facing environment
• Deep hands-on expertise across major DSPs, including DV360, The Trade Desk, Amazon DSP, and retail media ecosystems
• Strong understanding of the broader programmatic supply chain, including SSPs, exchanges, identity frameworks, curated marketplaces, and supply-path optimization
• Demonstrated ability to develop, optimize, or operationalize bidding strategies, custom algorithms, log-level optimization, and AI-driven decisioning frameworks
• Experience leveraging data, automation, and AI platforms to improve media performance, operational efficiency, and portfolio-level outcomes
• Financial and commercial acumen, including experience managing media budgets, analyzing unit economics, evaluating ROI, and owning portfolio performance outcomes
• Comfortable working cross-functionally with data science, engineering, analytics, finance, strategy, and client leadership teams
• Experience building processes, operating models, and governance structures within high-growth or evolving organizations
• Proficiency in SQL and familiarity with Python, R, clean rooms, or advanced analytics environments preferred

Preferred

• Background in quantitative finance, trading, retail media, curated marketplaces, or internal media technology/platform development is a strong plus
• Experience building processes, operating models, and governance structures within high-growth or evolving organizations
• Proficiency in SQL and familiarity with Python, R, clean rooms, or advanced analytics environments preferred
• Strong analytical and measurement capabilities, including incrementality testing, attribution, MMM, and interpreting model outputs to drive business decisions

Benefits

• equity and benefits that you will be eligible for.