Pinterest Logo

Pinterest

Staff Software Engineer, Ads & Core Serving Platform

Posted 3 Days Ago
Be an Early Applicant
Hybrid
2 Locations
208K-365K Annually
Senior level
Hybrid
2 Locations
208K-365K Annually
Senior level
Lead architecture and delivery of large-scale, low-latency distributed serving platforms supporting Pinterest Ads and Core experiences. Build highly available systems, modernize frameworks, improve APIs, experimentation, observability, and debugging, and drive initiatives from strategy through rollout and operational readiness. Partner across product, ML, infrastructure, Ads, and Core teams while mentoring engineers and establishing technical standards. The role requires strong expertise in production backend systems, technical leadership, scalability, reliability, and responsible AI-assisted engineering.
The summary above was generated by AI

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 is seeking a Staff Software Engineer to help evolve the serving platforms that power Ads and Core experiences. You will lead large-scale, low-latency distributed-system initiatives that make our serving stack more performant, reliable, observable, and easier to extend.

You will work across Ads and Core engineering teams to define durable platform capabilities, modernize frameworks, and unlock faster product iteration with high confidence in production.


What you’ll do: 

  • Set technical direction and lead architecture for major serving-platform initiatives across Ads and Core.
  • Build and operate scalable, highly available systems with clear performance, reliability, and efficiency goals.
  • Partner with product, ML, infrastructure, and Core/Ads engineering teams to translate complex requirements into reusable platform capabilities.
  • Improve the serving stack through framework modernization, API evolution, experimentation controls, observability, and debugging tools.
  • Lead complex projects end to end: technical strategy, design, implementation, rollout, adoption, and operational readiness.
  • Use AI to accelerate analysis, debugging, design exploration, and iteration while applying sound engineering judgment and validation.
  • Raise the quality bar through design reviews, code reviews, documentation, and operational excellence.
  • Mentor engineers and scale technical leadership across the organization.

What we’re looking for:

  • 8+ years of software engineering experience building and operating production backend or distributed systems.
  • Experience leading complex technical initiatives across teams or organizations.
  • Strong expertise in distributed systems, online serving, low-latency services, or infrastructure platforms.
  • Demonstrated ability to make sound tradeoffs across latency, reliability, scalability, cost, and developer experience.
  • Strong communication and collaboration skills with technical and cross-functional partners.
  • Proficiency in one or more programming languages such as Java, C++, Go, or Python.
  • Experience mentoring engineers and elevating technical standards.
  • Demonstrated ability to use AI to improve the speed and quality of day-to-day engineering workflows, with a rigorous approach to testing, validation, and responsible use.
  • Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.
  • Preferred qualifications:
    • Experience with ads delivery, recommendation or search serving, retrieval, ranking, or experimentation systems.
    • Experience with serving-framework migrations, platform consolidation, or developer tooling.
    • Experience with observability, production debugging, traffic management, or incident response.

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 recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times per week  and therefore needs to be in a commutable distance from one of the following offices Palo Alto OR San Francisco

#LI-HYBRID 

#LI-AG8

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$208,454$364,795 USD

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.
HQ

Pinterest San Francisco, California, USA Office

San Francisco, CA, United States

Pinterest Palo Alto, California, USA Office

Palo Alto, United States

Similar Jobs

15 Minutes Ago
Hybrid
15-24 Hourly
Entry level
15-24 Hourly
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides personalized styling advice, product recommendations, and exceptional customer service in a Kate Spade retail environment. Responsibilities include engaging customers, driving sales through storytelling and add-on recommendations, processing POS transactions, maintaining stockroom organization, and supporting omni-channel selling. Requires retail experience, strong communication and interpersonal skills, flexibility for nights and weekends, and the ability to lift up to 50 pounds occasionally.
Top Skills: Omni-Channel SellingPosSocial MediaVirtual Selling
18 Minutes Ago
Hybrid
15-22 Hourly
Junior
15-22 Hourly
Junior
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides customer service and sales support in a retail store, including operating POS, handling cash, processing shipments, replenishing merchandise, maintaining stockroom organization, supporting visual merchandising, and meeting loss-prevention and housekeeping standards. Requires flexibility for nights, weekends, holidays, and peak periods, along with the ability to lift up to 50 pounds occasionally and perform physical stockroom and sales-floor tasks.
Top Skills: Cash Register SystemsInternetIpadLaptopMobile PosPosWalkie-Talkie
2 Hours Ago
Hybrid
15-24 Hourly
Entry level
15-24 Hourly
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides personalized styling and product advice, builds customer relationships, drives sales, completes checkout, and maintains stockroom and sales-floor operations. The role requires strong product knowledge, retail selling skills, teamwork, flexibility for busy schedules, and physical ability to handle merchandise and stockroom tasks.
Top Skills: Omni-Channel Selling ToolsPoint-Of-Sale (Pos) SystemsSocial Media

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account