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Snap Inc.

Staff Software Engineer, Post-Ad Click Experience, Level 6

Posted 2 Hours Ago
Be an Early Applicant
Hybrid
3 Locations
195K-343K Annually
Expert/Leader
Hybrid
3 Locations
195K-343K Annually
Expert/Leader
As a Staff Software Engineer, you'll design and implement the next generation of the post-click platform, optimizing browser performance and user engagement through innovative application experiences and sophisticated algorithms.
The summary above was generated by AI

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

We are seeking an exceptional Staff Software Engineer to spearhead our post-click initiatives. In this pivotal role, you will lead the charge in defining, designing, and implementing the next generation of our post-click platform. This provides a unique opportunity to improve the native browser, and empower web developers. You will have a profound impact on user engagement and advertiser ROI.

What you’ll do:

  • Define the technical roadmap and vision for our post-ad click experience, identifying key opportunities and challenges.

  • Lead efforts to integrate and optimize our custom browser engine into our native mobile applications (iOS and Android).

  • Drive dramatic improvements in rendering web pages and content within our in-app browser, focusing on critical metrics like page load times, rendering efficiency, and resource utilization. You'll profile performance problems and drive optimizations across the browser engine and mobile application software stacks.

  • Design, architect, and build new and innovative application experiences for the in-app browser that are seamless, engaging, and highly performant, bridging the gap between ad clicks and desired user actions.

  • Develop sophisticated algorithms to intelligently drive traffic, predict user intent, and capture nuanced user interactions for deeper analytical insights.

  • Lead the design and implementation of highly scalable, reliable, and performant backend and frontend systems to support our post-click initiatives, including building reusable browser software components for interfacing with our back-end platforms.

  • Partner closely with Product Managers, Data Scientists, UX Designers, and other engineering teams to translate business requirements into technical solutions.

  • Provide technical leadership, mentorship, and guidance to junior and mid-level engineers, fostering a culture of technical excellence and continuous improvement.

Knowledge, Skills & Abilities:

  • Excellent programming and software design skills, including debugging, performance analysis, and test design

  • Proven track record of operating highly-available systems at scale

  • Ability to proactively learn new concepts and technology and apply them at work

  • Skilled at solving ambiguous problems

  • Strong collaboration and mentorship skills

  • Ads domain expertise and a strong interest in Ads

Minimum Qualifications: 

  • 9+ years of professional software development experience, with a significant portion focused on large-scale distributed systems, web technologies, and/or mobile application development.

  • Experience with web browser development, including building and deploying new features at scale in a browser engine or browser.

  • Deep expertise in performance optimization for web and/or mobile applications, particularly in areas like browser rendering, network optimization, and resource management.

  • Experience developing, debugging, and shipping software products on large codebases that span platforms and tools.

  • Experience with debugging performance and reliability issues on browser engines.

  • Solid understanding of data structures, algorithms, and distributed systems design principles.

  • Excellent communication, collaboration, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent years of experience.

Preferred Qualifications

  • Experience in technical leadership/ownership and setting technical direction for engineering projects

  • Demonstrated ability to develop and apply sophisticated algorithms (e.g., machine learning, optimization) to solve real-world problems.

  • Proven track record of delivering large scale projects in attribution and measurement

  • Experience operating highly-available systems at significant scale 

  • Familiarity with ad tech ecosystem, user acquisition, or conversion optimization.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. 

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $229,000-$343,000 annually.


 

Zone B:

The base salary range for this position is $218,000-$326,000 annually.

Zone C:

The base salary range for this position is $195,000-$292,000 annually.

This position is eligible for equity in the form of RSUs.

Top Skills

Algorithms
Browser Engine
Data Structures
Distributed Systems Design Principles
Mobile Application Development
Web Technologies
HQ

Snap Inc. Santa Monica, California, USA Office

Snap LA is located in the Santa Monica Business Park. We're across the street from a ton of great restaurants, coffee shops, Clover Park, and more!

Machine Learning @ Snap

At Snap, Machine Learning Engineers are innovators, transforming massive amounts of data into intelligent, personalized experiences for over 850 million users. From revolutionizing content and ad platforms to enhancing search, our team leverages state of the art machine learning models to drive snapchat’s mission forward: to empower people to express themselves, live in the moment, learn and enjoy the world together. By pioneering technology that understands and anticipates user needs, Snap’s ML team fuels moments of discovery, connection, and joy - impacting lives and advancing human progress every day.

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