# Staff Software Engineer, Ads Measurement Signal

**Company**: Pinterest
**Location**: Seattle, WA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $177,185-$364,795 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/7494904?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6fe1a4e8-9e6

## Description

### 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

## Skills

### Required
- GenAI
- ML
- backend software engineering
- large-scale distributed systems
- data pipelines
- ads measurement
- conversion tracking
- attribution
- signal enrichment pipelines
- ROAS
- CPA
- campaign optimization
- product scoping
- data analysis
- experimentation
- technical leadership

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/7494904?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)