Intro: The Trends & Insights Engineering team builds the products that turn Pinterest's unique signal what hundreds of millions of people are planning, dreaming about, and shopping for into actionable intelligence for advertisers. As a Manager on this team, you'll lead the technical evolution of Pinterest Trends and Audience Insights into a unified, AI-powered insights platform that shapes how advertisers plan campaigns, allocate budget, and create content across the Pinterest Ads ecosystem..
What you'll do:Â
- Lead and grow a team of engineers building Pinterest Trends, Audience Insights, and the next generation of AI-powered advertiser insights products.
- Translate the team's vision into a cohesive roadmap and delivery plan, sequencing key 2026 bets such as Trends Digest, Moments, Topics expansion, Product Attributes, and the audience-first platform foundation.
- Drive measurable advertiser impact by establishing a North Star tied to adoption, insight quality, and incremental ad spend and by standing up the instrumentation needed to prove it.
- Partner closely with Product, Design, Data Science, and peer Ads org teams to embed insights and recommendations into Ads Manager, seller workflows, and other advertiser journeys.
- Set the technical bar for LLM-powered capabilities (summarization, classification, conversational insights, agentic review) with strong safety, quality, and evaluation guardrails.
- Hire, mentor, and retain senior and staff engineering talent, and build team operating rhythms (planning, reviews, on-call, quality bars) that scale with the charter.
- Use AI to accelerate planning, technical exploration, and decision-making across the team drafting strategy docs, comparing architectural approaches, and synthesizing research faster while applying judgment and verification to ensure correctness and quality.
- Use AI to automate repeatable management tasks like status reporting, document synthesis, and review workflows, freeing the team to focus on higher-leverage work.
What we're looking for:
- Bachelor's degree in Computer Science, a related field, or equivalent experience.
- 8+ years of software engineering experience, including 3+ years managing teams of 5+ engineers.
- Experience leading engineering teams that build and ship consumer-facing products.
- Experience managing engineers across multiple levels and helping teams improve in effectiveness, quality, and impact.
- Strong people leadership skills, including coaching, feedback, performance management, and team development.
- Strong product sense and strategic thinking, with the ability to translate broad goals into clear priorities and execution plans.
- Solid technical foundation and the ability to engage in architecture, design reviews, and technical trade-offs.
- Proven ability to lead through ambiguity, align cross-functional stakeholders, and deliver meaningful results.
- Expertise in using data and experimentation to inform product and engineering decisions.
- Demonstrated ability to use AI to improve speed and quality in day-to-day work for relevant outputs.
- Strong track record of critically evaluating and verifying AI-assisted work through testing, review, or other quality controls.
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:Â
- We understand that optimal work environments are highly situational and vary between departments. Day-to-day expectations shift based on specific organizational needs or the nature of the role.
- In-person collaboration is required once every quarter; candidates must reside within commuting distance of our San Francisco or Palo Alto hubs.
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