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Block

Staff Software Engineer, Commerce (Afterpay Media Network)

Posted 3 Hours Ago
Be an Early Applicant
Remote
7 Locations
Senior level
Remote
7 Locations
Senior level
In this role, you'll collaborate with cross-functional teams to build data assets, optimize data systems, and deploy machine learning models for advertising solutions. Responsibilities include designing scalable data warehouses, developing data quality processes, and integrating with partner APIs. Strong emphasis on self-motivation and collaboration is needed.
The summary above was generated by AI

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
The Role
AMN (Afterpay Media Network) team's mission is to build the largest and most powerful commerce advertising platform in the world, by utilizing Block's data assets across Cash, Square and Afterpay to create advertising solutions that allows advertisers of all types (CPG, QSR, retail, etc) to activate full funnel marketing strategies across a variety of onsite and offsite channels.
You Will

  • Work closely with cross-functional teams to build robust data assets, optimize data systems, and deploy machine learning models that power the next generation of our advertising solutions for off-platform advertising.
  • Link user identifiers together, and maintain those mappings in various internal Cloud based environments to ensure high quality and data fidelity.
  • Design and implement scalable data warehouses for collecting, processing, and storing large volumes of data.
  • Collaborate with data scientists, software engineers, and domain experts to evaluate, gather and process data for development of audience segmentation.
  • Develop and implement data quality and validation processes to ensure accuracy.
  • Engineer for partner & Ads APIs that enable the future of our advertising business to scale and integrate across a diverse range of advertising technology companies on the buy-side, sell-side and within the world of data tech.
  • Integrate with different advertising tools, data platforms, and measurement partners


Your Team Will

  • Follow a Scrum methodology
  • Be working on unifying our customer data across disparate silos into a unified data lake
  • Develop and integrate with our partners' APIs to clean, enrich, and activate data across the advertising ecosystem


You Have

  • Have 8+ years of experience writing and deploying high performance production code to deliver business value
  • Have 8+ years of experience designing and building efficient real time distributed systems
  • Experience with API development
  • Experience with building data solution including CDP and closed-loop measurement and reporting
  • Understanding of omnichannel advertising ecosystem
  • You are self-motivated and not afraid of learning new technologies and you can find your way around sophisticated systems
  • You enjoy being a part of a team; You are a respectful and collaborative team player
  • Have a product-oriented mindset and look to find technical solutions to business problems
  • Excellent communication skills


Nice To Haves

  • Experience in the FinTech industry, ideally in buy-side ad tech and identity and limits space with demonstrated knowledge of industry best practices
  • Strong knowledge of data and its usage within the world of financial services
  • Experience building containerized solutions within Snowflake, AWS and/or GCP
  • Strong knowledge of DSPs & CDPs
  • Experience working in highly matrixed organizations


Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:
$217,800 - $326,800 USD
Zone B:
$207,000 - $310,400 USD
Zone C:
$196,100 - $294,100 USD
Zone D:
$185,200 - $277,800 USD
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, healthcare coverage, flexible time off, and modern family planning are just some of our offerings. Check out our other benefits at Block.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

Top Skills

APIs
Distributed Systems

Block Kitchener, Ontario, CAN Office

Kitchener, Ontario, Canada

Block Toronto, Ontario, CAN Office

Toronto, Ontario, Canada

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