Staff Software Engineer, Ads Measurement Signal

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 were 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 others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities well 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. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

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 youll 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 productaware alerts and ranked recommendations to identify opportunities and power performance lifts.
• Consolidate and structure the measurement context layermatched and attributed conversion tables enrichment pipelines and existing toolsinto 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 partnerspecific 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 performancenot just isolated experiments.

What were 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.
• Bachelors 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 1 time per week and therefore needs to be in a commutable distance from one of the Seattle offices.

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