Staff Software Engineer, Merchants & Ads Review
208k – 365kSan Francisco, CAPalo Alto, CAHybrid8+ YOE
Summary
Leads AI-first efforts to build and evolve merchant, ad, and advertiser review systems ensuring platform safety and revenue growth. Requires 8+ years experience in software engineering with expertise in ML/GenAI, full-stack development, and cross-functional collaboration.
About the role
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.
Skills
Machine LearningGenerative AIAISystems DesignFull-StackJavaScriptPythonKubernetesGoogle CloudReact
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