About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
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:
- 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:
- 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.
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete
this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.