Manager II, Trust Engineering

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 Trust Engineering - Real-Time Risk Systems team at Pinterest is responsible for ensuring that Pinners have a safe and engaging experience using Pinterest. Our platform is used by ML teams and Data Analysts to process billions of events everyday. The role involves working with leadership to shape the future roadmap of our systems and directly supporting the careers of ICs on the team through mentorship. 

• →Design and develop highly scalable, reliable and performant software systems to power content quality and safety infrastructure at Pinterest
• →Provide technical leadership, mentoring and guidance to other engineers on the team
• →Collaborate cross-functionally with product, design, data science and other engineering teams to define roadmaps and deliver high-impact projects
• →Drive engineering best practices and processes to continuously improve software quality, reliability and developer productivity
• →Actively contribute to Pinterest's technical culture through code reviews, tech talks, open source projects and recruiting
• →Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)
• →Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)

• 10+ years of experience building and shipping large-scale software systems in a product-driven environment
• 2+ years of experience as an Engineering Manager, and a demonstrated commitment to coaching, developing, and enabling senior engineers
• Experience leading the design and development of complex, high-performance distributed systems and microservices architectures
• Proven track record of technical leadership and successfully delivering projects with multiple dependencies and stakeholders
• Experience with big data processing frameworks (e.g. Spark, Kafka, Flink) and building data pipelines
• Domain experience in building Trust and Safety systems at scale
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Bachelor’s or Master’s degree in a relevant field such as Computer Science, or equivalent experience

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  

• 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 1-2 times per half and therefore needs to be in a commutable distance from one of the following offices: Toronto (85 Richmond St. W).

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