Staff Software Engineer, Merchants & Ads Review

We’re hiring a Staff Software Engineer for Merchants & Ads Review.

This team is responsible for keeping our platform safe from malicious advertisers, low-quality merchants, and policy violating ads, while helping the business grow revenue and expand to new markets, verticals, policies, and ad types.

In this role, you’ll lead our AI-first efforts, building and evolving our review systems. You’ll partner closely with Engineering Managers, Product Managers, and experts from Policy, Legal, and Trust & Safety to drive our systems forward. You act as a mentor to the rest of the team, helping them grow their careers and accelerate their velocity with AI tooling. This is a high agency, high impact role with a broad scope and direct levers on both revenue and platform safety.

What you’ll do: 

• Own end-to-end technical delivery for cross-team initiatives—from problem framing and technical strategy through architecture, implementation, rollout, and iteration.
• Build and evolve ML-, GenAI-, and AI-assisted merchant, ad, and advertiser review experiences with strong validation and guardrails.
• Mentor junior and senior engineers and raise the bar for technical design, engineering quality, and production readiness across the team.
• Partner with cross-functional stakeholders on a variety of projects to improve the safety of our platform, increase efficiency, reduce time to spend, and generate revenue
• Use AI to accelerate your own work—across exploration, drafting, analysis, and synthesis—while maintaining strong judgment, rigorous validation, and accountability for outcomes.

What we’re looking for:

• 8+ years of software engineering experience, including meaningful time as a Staff, Senior Staff, or equivalent-level IC building and operating complex production systems.
• Strong track record in ads, commerce, trust & safety, or GenAI.
• Deep experience in systems design, full-stack software engineering, and data-intensive systems, with the ability to navigate tradeoffs in performance, reliability, and scalability.
• Experience building or partnering on ML-, AI-, or GenAI-adjacent systems, with a pragmatic understanding of where these technologies add value and how to deploy them responsibly.
• Strong communication skills and the ability to influence technical direction without directly owning every implementation detail.
• Demonstrated experience building and enhancing cross-functional partnerships with other teams and organizations.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field—or equivalent practical 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 times per week and therefore needs to be in a commutable distance from one of the following offices SF/Palo Alto Office.

#LI-HYBRID 

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