Staff Software Engineer, Merchants & Ads Review

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.

Were 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 youll lead our AI-first efforts building and evolving our review systems. Youll 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 youll do:

• Own end-to-end technical delivery for cross-team initiativesfrom 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 workacross exploration drafting analysis and synthesiswhile maintaining strong judgment rigorous validation and accountability for outcomes.

What were 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.
• Bachelors degree in Computer Science Engineering or a related technical fieldor 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.

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