Manager II, Trust Engineering

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. 

What you’ll do:

• 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)

What we’re looking for:

• 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 job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

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 1-2 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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