# Sr. Staff Software Engineer, Ads Measurement

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** Seattle, WA, Palo Alto, CA, San Francisco, CA
**Role:** Backend Engineering
**Salary:** $245k – $429k/yr
**Experience:** 10+ years
**Skills:** AI, Distributed Systems, Data Platforms, Attribution, Conversion Tracking, Experimentation, Privacy-Safe Systems, Causal Inference, Conversion Apis, Event Ingestion
**Posted:** 2026-04-24

> Leads architecture and strategy for Pinterest Ads conversion measurement, partnering across teams to enhance attribution, privacy-safe systems, AI-driven diagnostics, and ecosystem integrations. Requires 10+ years experience in ads measurement domains with strong distributed systems expertise.

## Job Description

## What you’ll do:
- Drive initiatives to improve conversion measurement architecture across web, mobile app, and offline/CRM signals
- Apply **AI** to identify signal loss and improve measurement resilience
- Use **AI** to build diagnostics and explainability tools for advertisers and internal teams
- Strengthen experimentation, lift, and incrementality capabilities
- Create shared measurement primitives used by optimization, reporting, and external APIs
- Drive ecosystem integrations such as Conversion APIs, partner measurement hooks, and durable event ingestion pathways

## What we’re looking for:
- **10+ years** of software engineering experience, including significant experience leading large, ambiguous technical initiatives as a senior individual contributor
- Strong track record of defining architecture and driving execution across multiple teams
- Experience in one or more ads or measurement-related domains such as attribution, conversion tracking, experimentation, identity, reporting, privacy-safe systems, or causal inference platforms
- Ability to move fluidly between high-level strategy and low-level technical details
- Excellent communication and influence skills, with demonstrated ability to align cross-functional stakeholders

### Preferred qualifications
- Familiarity with challenges such as browser and platform signal loss, event quality, deduplication, attribution windows, delayed conversions, and modeled measurement
- Experience partnering closely with data scientists and applied scientists on measurement methodology or model-backed systems
- Experience building advertiser-facing or partner-facing systems where explainability and trust are critical
- Strong product sense for balancing scientific rigor with practical usability and speed

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