Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform focused on inspiring creativity and planning memorable experiences. The company is looking for a Manager II for Trends Engineering to lead a team in developing AI-powered insights products that enhance advertising effectiveness.

Responsibilities

• 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

Skills

• 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

Benefits

• The position is also eligible for equity.
• Visit our PinFlex page to learn more about our working model.
• 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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