Staff Software Engineer, Ads Measurement Signal

Pinterest

Seattle (WA)

Hybrid

USD 177,185 - 364,795

Full time

14 days+

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Benefits offered by this job

Equity eligibility

Job summary

Pinterest is hiring a Staff Software Engineer in Seattle to lead the backend architecture for a GenAI-powered Conversion Health agent. The ideal candidate should have over 8 years of experience in backend or full-stack software engineering, particularly in ads or measurement. Responsibilities include designing the GenAI agent, improving existing applications, and ensuring performance efficiency. A Bachelor's degree in Computer Science or a related field is required, and the role involves some in-office collaboration each week.

Qualifications

  • 8+ years of experience building large-scale distributed systems, especially in ads or measurement.
  • Proven track record shipping GenAI or ML-powered products end-to-end.
  • Strong familiarity with concepts like ROAS, CPA, and campaign optimization.

Responsibilities

  • Own the design and implementation of the Conversion GenAI agent.
  • Evolve the existing GenAI Applications and improve retrieval quality.
  • Design how the sub-agent connects with downstream ads products.

Skills

Backend or full-stack software engineering experience
Proficiency in product scoping
Data analysis and experimentation
Technical leadership

Education

Bachelor’s degree in Computer Science or related field

Job description

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn’t just a feature, it’s a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

Conversion Visibility Pod

The Conversion Visibility pod enables a performant ads marketplace and helps prove value to advertisers by connecting on‑Pinterest intent with offsite conversions in a privacy-preserving way. We are hiring a Staff Software Engineer to lead the backend architecture and implementation of a GenAI-powered Conversion Health agent, using Event Quality Scores and conversion data to proactively detect issues, recommend and automate fixes, and demonstrate measurable performance impact for advertisers.

What you’ll do
  • 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 and make the impact on ad performance and efficiency clear.
  • 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 to identify opportunities and power performance lifts.
  • 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 (e.g., diagnosing EQS drops, PCL readiness, partner‑specific issues) and iterate quickly on internal‑first experiences before expanding to advertiser‑facing use cases.
  • 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 so AI tooling translates into sustained gains in engineering velocity, measurement quality, and advertiser performance—not just isolated experiments.
What we’re looking for
  • 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 (agent or model integration, retrieval, evaluation, safety/guardrails, and online/offline metrics).
  • 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 bias toward business outcomes, with a track record of tying technical work to performance, measurement quality, and operational efficiency metrics.
  • Strong proficiency in product scoping, data analysis and experimentation (e.g., SQL over large datasets, experiment design, cohort analysis) to connect conversion‑health interventions to performance outcomes like ROAS, CPA, and PCL validity.
  • Demonstrated technical leadership across teams: scoping ambiguous problems, aligning with product and XFN partners, and driving complex initiatives from vision through launch with clear documentation and communication.
  • Experience upleveling engineers in AI tooling and best practices, including setting team‑wide standards, templates, or processes for building and evaluating AI‑assisted workflows.
  • Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience.
Relocation Statement

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In‑Office Requirement Statement

We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day‑to‑day can vary based on the needs of each organization or role.

This role will need to be in the office for in‑person collaboration roughly one time per week and therefore needs to be in a commutable distance from one of the Seattle offices.

Salary and Benefits

US based applicants only. Base salary range: $177,185 — $364,795 USD. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Our Commitment to Inclusion

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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