[Remote] Staff Software Engineer, Ads Measurement Signal

Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform that inspires creativity and planning for lasting memories. They are seeking a Staff Software Engineer to lead the backend architecture and implementation of a GenAI-powered Conversion Health agent, focusing on enhancing the ads marketplace through innovative technology and collaboration across teams.ResponsibilitiesOwn 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 scaleEvolve 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 clearDesign 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 liftsConsolidate 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 overPartner 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 casesLead 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 experimentsSkills8+ 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 domainsProven 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 metricsStrong 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 validityDemonstrated 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 communicationExperience upleveling engineers in AI tooling and best practices, including setting team-wide standards, templates, or processes for building and evaluating AI-assisted workflowsBachelor's degree in Computer Science, Engineering, a related field, or equivalent experienceBenefitsThe position is also eligible for equity.Visit our PinFlex page to learn more about our working model.Information regarding the culture at Pinterest and benefits available for this position can be found here.Company OverviewPinterest is a visual bookmarking tool for saving and discovering creative ideas. It was founded in 2010, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.pinterest.com/.