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’ll 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 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 1 time per week and therefore needs to be in a commutable distance from one of the Seattle offices.
#LI-REMOTE
#LI-KK6
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. 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.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
Skills Required
- 8+ years of backend or full-stack software engineering experience building large-scale distributed systems, services, and data pipelines (ideally in ads or measurement).
- Proven track record shipping GenAI- or ML-powered products end-to-end, including agent or model integration, retrieval, evaluation, and safety/guardrails.
- Prior ads domain expertise in measurement, including conversion tracking, attribution, signal enrichment pipelines and familiarity with ROAS, CPA, and campaign optimization.
- Strong proficiency in product scoping, data analysis and experimentation (e.g., SQL over large datasets, experiment design, cohort analysis).
- 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, including setting team-wide standards, templates, or evaluation processes.
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
- US-based applicants only and must be commutable to a Seattle office for in-person collaboration one time per week.
Pinterest Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pinterest and has not been reviewed or approved by Pinterest.
-
Fair & Transparent Compensation — Compensation is considered competitive in core technical roles, with clearly defined base, bonus, and RSU components. Vesting schedules and pay elements are articulated clearly, supporting visibility into total rewards.
-
Parental & Family Support — Policies include substantial paid parental leave globally alongside fertility and family‑building benefits, adoption assistance, and dedicated caregiver supports. Communications also highlight a phased return‑to‑work approach.
-
Flexible Benefits — PinFlex enables role‑dependent hybrid/remote work with home‑office, connectivity, and commuter support, plus the option to work internationally for a limited period with approval. Time away is reinforced by a paid company shutdown and generous vacation framing.
Pinterest Insights
What We Do
Pinterest is the visual inspiration platform people around the world use to shop products personalized to their taste, find ideas to do offline and discover the most inspiring creators. Today, more than 460 million people come to the platform every month to explore and experience billions of ideas that have been saved. We’re proud to help people to discover and do what they love.
