Pinterest Logo

Pinterest

Staff Software Engineer, Ads Measurement

Job Posted 19 Days Ago Posted 19 Days Ago
Be an Early Applicant
Seattle, WA
200K-351K Annually
Senior level
Seattle, WA
200K-351K Annually
Senior level
As a Staff Software Engineer on the Conversion Visibility team, you will lead the development of scalable pipelines for user and product matching, utilizing advanced algorithms to enhance conversion data quality. You will mentor engineers and drive technical initiatives across teams, working with large datasets to optimize advertising and recommendation processes.
The summary above was generated by AI

About Pinterest:  

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. 

Staff Software Engineer, Ads Measurement 

The Conversion Visibility team enables a performant ads marketplace and helps prove the value to advertisers by connecting Pinterest onsite activity with conversions that happen offsite (both digital and physical) in a privacy-preserving way. We're seeking a Staff Software Engineer to lead the team. You will build the team roadmap and leverage state-of-the-art matching, stream processing and ML technologies to improve the coverage, accuracy and richness of conversion signals.


What you’ll do:

  • Create a scalable and highly available pipeline for matching users and products of conversion events, with data accuracy guarantees and near real time latency.
  • Innovate deterministic and probabilistic(ML based) algorithms to improve the conversion’s user match rate and conversion data quality. Tackle privacy headwinds and protect the visibility of identifiable conversions. 
  • Build the performant conversion signals to optimize Ads and Organic recommendation and personalization. 
  • Build systems that process petabytes of data every day using cutting edge technologies.
  • Lead technical initiatives across multiple teams, mentor engineers and build effective XFN alignment.


What we’re looking for:

  • BS (or higher) degree in Computer Science, or a related field.
  • 7+ years of relevant industry experience in designing large scale production systems. 1+ years experience as a tech lead. 
  • Deep knowledge with at least one state-of-art programming language (Java, C++, Python), distributed systems and big data processing (Flink, Spark, Kafka, Hive etc).
  • Experience with ads measurement, recommendation systems or ML signals.   
  • Strong mentorship and coaching abilities.
  • Individuals looking to work in a close, collaborative group to drive success of key business metrics.


In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1 time per week and therefore needs to be in a commutable distance from the Seattle office.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

 #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

$200,436$350,763 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.

 

Pinterest Seattle, Washington, USA Office

1730 Minor Ave, Seattle, Washington, United States, 98101

Similar Jobs

6 Hours Ago
Hybrid
Seattle, WA, USA
134K-262K Annually
Mid level
134K-262K Annually
Mid level
Artificial Intelligence • Cloud • Mobile • Security • Software
AI Engineers develop and integrate AI solutions into products, focusing on prompt engineering, model evaluations, and fine-tuning large language models. Responsibilities include AI orchestration, cross-functional collaboration, and staying updated with AI research to enhance voice intelligence applications.
Top Skills: AWSAzureGCPJavaScriptKubernetesPythonTypescript
6 Hours Ago
Hybrid
Seattle, WA, USA
134K-262K Annually
Mid level
134K-262K Annually
Mid level
Artificial Intelligence • Cloud • Mobile • Security • Software
AI Engineers at Hiya develop and integrate AI solutions into products, focusing on model evaluation, fine-tuning large language models, and implementing AI orchestration. Responsibilities include collaborating with teams, designing AI applications, and staying updated on AI research to enhance voice intelligence products.
Top Skills: AutogenAWSAzureGCPJavaScriptKubernetesLangchainN8NPythonTypescript
6 Hours Ago
Seattle, WA, USA
91K-172K Annually
Junior
91K-172K Annually
Junior
Artificial Intelligence • Information Technology • Natural Language Processing • Software • Business Intelligence • Generative AI
The Site Reliability Engineer will maintain and enhance infrastructure for the Gov1 Team at Qualtrics, focusing on reliable and secure solutions. Responsibilities include automating processes, creating infrastructure-as-code solutions, optimizing database performance, and ensuring compliance with security measures.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account