Manager II, Trends Engineering

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..

• 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.

• 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.

• 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.