Pinterest

Technology

StaffSoftwareEngineer-Growth

$177–365k San Francisco, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Staff candidates.

The Brief

“Staff Software Engineer- Growth at Pinterest. Skills: Performance marketing, Attribution, Bidding, System design. Lead technical roadmap. Define high-impact investments”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Troubleshooting

What They're Looking For.

Must Have

7+ years backend systems experience, Hands-on performance marketing experience, Experience with paid media platforms APIs, Experience with attribution methodologies, Experience integrating mobile measurement partners, Experience with near real-time systems, Proficiency building data pipelines, Experience with modern big data ecosystems, Systems design skills, Familiarity with ML infrastructure concepts, Ability to build ML systems, Demonstrated ability to use AI, Bachelor's degree in relevant field, Equivalent experience

Nice to Have

Experience with Python or Java/Scala, Experience with ML infrastructure concepts, Experience building systems for ML workloads

What You'll Do.

Lead technical roadmap

Define high-impact investments

Drive hands-on engineering

Design ad platform integrations

Build event pipelines

Develop production systems

Measure marketing spend

Design measurement stack

Evolve attribution models

Collect conversion signals

Develop incrementality methodology

Develop privacy-resilient approaches

Develop systems for bidding

Optimize bidding strategies

Automate campaign experimentation

Drive cross-team initiatives

Author design documents

Build alignment across orgs

Own system reliability

Own operational health

Collaborate with marketing

Collaborate with data science

Collaborate with product

Identify growth opportunities

Turn opportunities into solutions

Establish technical best practices

Raise bar on system design

Use AI to accelerate work

Accountability for outcomes

How You'll Work.

Team & Collaboration

Cross-team technical initiatives; Ads platform teams; Data warehouse teams; Mobile teams

Process & Methodology

Roadmap planning

Full Job Description

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. Pinterest's performance marketing engineering team owns the end-to-end systems that turn marketing dollars into measured user growth spanning attribution, bidding, budget optimization, and campaign management across major advertising platforms. This role is responsible for designing systems that scale across channels and adapt as privacy landscapes shift. What you’ll do: Lead the technical roadmap for the performance marketing platform, defining the highest-impact investments across attribution, bidding, budget optimization, and campaign management Drive hands-on engineering across ad platform integrations, event pipelines, and production systems that deploy and measure marketing spend Design and evolve the measurement stack — attribution models, conversion signal collection, incrementality methodology, and privacy-resilient approaches as platform sign

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