Engineering Manager I, Growth AI

As an Engineering Manager I on Pinterest’s Growth AI Products team, you’ll lead a group of engineers building AI-led products and capabilities that drive top-of-funnel growth. You’ll ship user-facing experiences and AI-powered content representation improvements, partnering closely with product, design, analytics and ML teams. You’ll also align with our logged-out data intelligence and experimentation platform to ensure strong measurement, iteration and responsible rollouts.

What you’ll do: 

• Lead a team delivering AI-led growth products that improve how Pinterest content is represented, surfaced and converted in top-of-funnel experiences.
• Own planning and execution for the team’s roadmap, turning goals into clear milestones, sequencing and resourcing decisions.
• Partner with Product, Design, Analytics, Data Science and ML teams to define opportunities, set success metrics and deliver measurable growth impact.
• Drive AI-led innovations that improve content understanding and representation, including GenAI-based title and description enhancements and AI-assisted keyword and intent generation that power scalable landing experiences.
• Establish launch readiness standards for AI-powered features, including evaluation approach, quality guardrails, rollout strategy and post-launch iteration.
• Improve team operating cadence by using AI to accelerate planning, synthesis and documentation workflows, while applying judgment and verification to ensure correctness and quality.
• Build strong cross-team execution with the logged-out data intelligence and experimentation platform, ensuring new launches are measurable, comparable and easy to evaluate for stakeholders.
  
  

What we’re looking for:

• 6+ years of experience in software engineering, including experience in building and shipping large-scale user-facing products (ideally 100M+ users or equivalent high-traffic surfaces).
• 1+ years of experience in people leadership, including coaching engineers, supporting growth and driving accountability through clear expectations.
• Experience in leading ambiguous product spaces, forming a point of view, aligning stakeholders and turning strategy into execution.
• Experience in delivering AI/ML-powered product capabilities in production, including setting quality bars and partnering effectively with ML, data science and analytics counterparts.
• Experience in working across functions and teams to align priorities, manage dependencies and deliver outcomes with shared measurement.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs, with a clear approach to validating accuracy and quality.
• 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.
  
  

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 quarter and therefore needs to be in a commutable distance from one of the following offices: San Francisco, New York City, or Seattle.

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