Bid Ops Optimization Engineer

Описание

This role is a temporary replacement for a maternity leave position that may expand into a full-time role, focusing on keeping Header Bidding publishers healthy and growing.

Responsibilities

• Investigate and resolve escalated Header Bidding cases end to end: diagnose with data, fix the configuration and quantify the uplift
• Look for patterns that affect many publishers, such as shared presets, ad sizes, blocking rules and floors, instead of only reacting to cases
• Be the technical voice for Account Managers and, when needed, publishers: explain what happened, what we changed and what it is worth
• Present findings and recommendations to business stakeholders, and help Sales frame technical optimization as a commercial story
• Join client pitch calls as a technical expert, helping clients understand what is needed to work with us
• Use SQL (Vertica), Salesforce, Grafana, Tableau and AI tools to speed up analysis and documentation

Requirements

• 4+ years in ad-tech, programmatic, publisher operations, solutions engineering or another technical, customer-facing role
• Strong SQL: you can go from a metric movement to a root cause and check your own query for double counting
• Experience debugging on live publisher pages with browser DevTools: inspecting the DOM, tracing bid requests and responses in the Network tab, checking console errors and timing
• Experience working with HTML, CSS and JS, able to read a publisher's page source, find where an ad unit or widget is rendered, and style or adjust a widget
• The ability to explain technical findings and their business value to Account Managers and publishers, with the business impact first
• Excellent written and spoken English

Nice to have

• Hands-on knowledge of Header Bidding / Prebid and RTB, including bid requests and responses, floors, ad sizes, timeouts and SSP behavior
• Experience reading Prebid.js configurations or wrapper code to understand how a page calls our bidder
• Experience building dashboards or internal tools for non-technical users, or running training programs
• Experience with AI-assisted workflows or building agents

We offer

• Comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking)
• Hybrid work schedule with 3 days in-office with an option to come in more often if desired
• Work with publisher partners including Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online
• Work with advertiser clients including Wells Fargo, Honda, Pinterest, and Expedia