Staff Software Engineer, Trends Engineering

Pinterest is where inspiration turns into intent, and the Trends & Insights Engineering team transforms that intent into products that help advertisers move at the speed of culture. We build the systems and experiences that turn signals from what people are planning, saving, shopping for, and engaging with across Pinterest and the broader digital world into actionable intelligence. By connecting emerging trends from platforms like Pinterest, Reddit, Instagram, and beyond, we help advertisers understand what matters now, what’s coming next, and how to show up with relevance.

As a Staff Software Engineer on this team, you’ll lead the technical vision for the next generation of insights products, evolving Pinterest Trends and Audience Insights into a unified, AI-powered platform for advertisers. You’ll work at the intersection of large-scale data, machine learning, product innovation, and ads, building experiences that shape campaign strategy, creative development, and budget decisions across the Pinterest Ads ecosystem. This is a chance to define entirely new products, influence the direction of a fast-growing space, and help brands tap into culture and consumer intent in ways only Pinterest can enable.

What you’ll do: 

• Set the technical direction for a unified, audience-first insights platform that powers Pinterest Trends, Audience Insights, and recommendations embedded across Ads Manager surfaces.
• Architect scalable data pipelines and systems that generate reusable, personalized insights from Pinterest's trend, audience, and content signals.
• Lead delivery of high-impact roadmap bets such as Trends Digest, Moments, Topics expansion, and Product Attributes from prototype to production.
• Integrate LLM-powered capabilities (summarization, classification, conversational insights, agentic review) with strong safety, quality, and evaluation guardrails.
• Partner with Product, Design, Data Science, and Ads org teams to bring proactive, contextual insights into advertiser workflows beyond standalone surfaces.
• Use AI to accelerate prototyping, design exploration, and code generation iterating across more options earlier while applying engineering judgment and verification to ensure correctness and quality.
• Use AI to synthesize research, summarize large datasets, and automate repeatable engineering tasks like documentation, test generation, and data QA checks.
• Mentor engineers across the team, raise the technical bar, and establish measurement practices that connect insight quality to advertiser adoption and revenue impact.

What we’re looking for:

• Bachelor's degree in Computer Science, a related field, or equivalent experience.
• 8+ years of software engineering experience, including significant time designing large-scale data or ML-powered platforms that serve customer-facing products.
• Ability to work with cross-functional partners across multiple organizations.
• Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc.
• Experience as the product-engineering counterpart on an AI-first product launch from prototype to scale
• Demonstrated experience using AI to accelerate engineering and analysis workflows, with a clear approach to validating accuracy, performance, and quality.
• Strong track record of critical evaluation and verification of AI-assisted work — testing, source-checking, data validation, and peer review.
• Experience leading cross-surface product integrations across multiple teams and organizational boundaries, not just standalone tools.

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.

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