Staff Software Engineer, Ads Measurement Signal

Job Overview

We are seeking a Staff Software Engineer to lead the backend architecture and implementation of a GenAI-powered Conversion Health agent. This agent will use Event Quality Scores and conversion data to detect issues, recommend and automate fixes, and demonstrate measurable performance impact for advertisers.

Responsibilities

• Own the design and implementation of the Conversion GenAI agent: services, data flows, and retrieval layers that let agents reason over EQS, conversion funnels, and their impact on performance at scale.
• Evolve the existing GenAI Applications: harden prompts and tools, improve retrieval quality, add evaluation and safety checks, and make the agent reliable enough for always-on monitoring and decision support.
• Design how the sub-agent connects with downstream ads products (PCL, ROAS bidding) and internal tools, including APIs, contracts, and workflows that surface product-aware alerts and ranked recommendations.
• Consolidate and structure the measurement context layer,matched and attributed conversion tables, enrichment pipelines, and existing tools,into high-quality, AI-consumable signals the agent can query and reason over.
• Partner with Product, Operations, Sales, and other ads product teams to translate measurement pain points into agent skills.
• Lead an evolving GenAI culture and collaboration model across orgs: navigate ambiguity in a rapidly changing AI landscape to identify high-ROI patterns, codify pragmatic guardrails and workflows, and evolve how we collaborate.

Requirements

• 8+ years of backend or full-stack software engineering experience building large-scale distributed systems, services, and data pipelines, ideally in ads, measurement, or similar data-intensive domains.
• Proven track record shipping GenAI- or ML-powered products end-to-end.
• Required prior ads domain expertise, preferably in measurement, including conversion tracking, attribution, signal enrichment pipelines, and familiarity with concepts like ROAS, CPA, and campaign optimization.
• Strong proficiency in product scoping, data analysis and experimentation.
• Demonstrated technical leadership across teams: scoping ambiguous problems, aligning with product and XFN partners, and driving complex initiatives from vision through launch.
• Experience upleveling engineers in AI tooling and best practices.
• Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience.

Benefits

• Base salary range: $177,185-$364,795 USD
• Eligible for equity

Workplace Information

• This role will need to be in the office for in-person collaboration 1 time per week and therefore needs to be in a commutable distance from one of the Seattle offices.
• Remote work options available