Software Engineer

Who We Are

Twitter’s advertising business went from zero to two billion in revenue faster than any other company had. The Ads Measurement team’s job is to communicate the ROI of Twitter ads to our advertisers, for any of their objectives. It’s critically important to show that value in a way advertisers understand, trust, and dig into for more detail. We develop lambda architecture measurement products responsible for tracking $2B+ of revenue. This requires processing billions of events per day, spanning dozens of heterogenous data sources generated from Twitter and advertiser data. We process this data in real time, requiring low latencies and high reliability. We are a full-stack team with expertise in data analytics, distributed systems, and external interfaces. Our customers are advertisers, ad tech companies, and other Twitter ads teams. Our culture emphasizes creative problem solving, fast iteration and execution. Our team is in Seattle and San Francisco working closely together.

Some of our current projects:

• Developing Twitter’s lift studies: long-running cohort-based analyses that measure how Twitter ads create statistically significant lift in advertiser sales, customer sentiment, and user engagement.
• Building our next generation 3rd party measurement platform with all industry-leading verification partners, including Moat, DoubleClick, Nielsen, and more. These integrations are critical for confirming the ROI of Twitter Ads, thereby increasing advertiser confidence in Twitter.
• Improving Twitter’s JavaScript products and mobile SDKs used by thousands of Twitter advertisers. These technologies ingest billions of daily inbound requests, which power Twitter’s measurement, prediction, and targeting products.

Our Engineering Environment

At Twitter, we believe that good system designs require collaboration so that the end result is simple yet sophisticated. We also promote openness by contributing to open source and sharing our data through Twitter’s API (learn more here – https://dev.twitter.com/ads/overview). Our team sizes are kept small to encourage big contributions from each team member and promote meaningful collaboration. Our technology stack is mainly based on Scala and Java on the backend, and JavaScript and markup on the frontend.

Who You Are

We have a wide range of opportunities for different skill levels and experiences. We’re looking for a key individual contributor who can drive engineering for a product or products that show reliable and trustworthy ad performance metrics to our advertisers.

• A data-driven software engineer ready to design and implement innovative new features that impact hundreds of millions of users across many platforms.
• Full-stack engineer: experience and understanding of the full stack, with a desire to focus on the APIs, user interfaces, and the services backing them up
• Backend engineer: experienced in backend systems such as data processing (realtime and batch mode), storage platforms, and service-oriented architecture.
• Someone who wants to push the limits of product innovation using the latest advancements in technology and methods – working closely with product managers, designers, and other engineering teams
• Someone that works best in an environment with a sense of urgency and can rapidly iterate on features

Qualifications

• Strong performance with CS basics: algorithms, data structures, design, and coding
• Full-stack: Experience with web technology including JavaScript and markup languages
• Backend: Experience with data analytics and distributed systems
• Experience innovating in service-oriented architecture
• Disciplined approach to testing and quality assurance
• Experience with software engineering best practices (e.g. unit testing, code reviews, design documentation)
• B.S. or higher in Computer Science or equivalent work experience

Bonus Points

• Full-stack: experience with at least one JavaScript framework, CSS preprocessors such as Less and Sass, and familiarity with modern web standards, including HTML5, CSS3, and ES2015
• Data-informed product development experience such as analytics and A/B testing
• Prior experience working for a consumer Internet company or in ad technology