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Engineering Manager - Data Platform

Abnormal Security

Abnormal Security

Other Engineering
United States · Remote
Posted on Thursday, February 9, 2023

About the Role

Enterprises of all sizes trust Abnormal Security’s cloud products to stop cybercrime. These products are data intensive SaaS applications that depend on reliable, scalable, and secure access to data. This is where our Data Platform team fits in, enabling efficient, reliable and scalable data processing across both realtime and offline processing systems. Come lead the team empowering the rest of engineering to stop cybercrime as we expand our offerings across both clouds and regions.

The Data Platform team is looking to add an Engineering Manager, who will report to our Director of Cloud Platform Engineering, Aaron Rolett, work alongside our CTO, Sanjay Jeyakumar, and collaborate with our world-class team. The individual in this role will have the opportunity to lead and grow our existing world class team of engineers as we define and build the next generation data platform.

There are a lot of opportunities for growth and career advancement – it’s up to you to own your career here. Some potential career paths for this role include:

  • Growing into a Senior Engineering Manager position
  • Positioning yourself to be a Founder or early-stage executive

This position is not a fit for someone who:

  • Has not worked in, or would not like working in, an ambiguous environment. While Abnormal's flagship email security product has hit PMF, this team is navigating unknowns as we scale and will need someone who can guide others through uncertainty.
  • Does not have experience being a senior engineer or tech lead for a technically complex product. While you won’t be coding on a daily basis, we expect that you will be able to read code and hold a high bar for the engineering practices on our current team.
  • Is looking to manage managers. This person will only manage individual contributors for the next ~1 year.

What you will do

  • Manage a team of ~5-8 backend/distributed system engineers (who work across Pacific/Eastern time zones) to deliver our data platform offerings across AWS, Azure work broadly across engineering to empower and delight our internal engineering customers.
  • Source, attract, and hire highly-technical software engineers, and grow this initial team into a larger org over the next one to two years
  • Have a strong framework to grow, mentor, and develop a driven team of engineers
  • The ability to showcase how you’ve successfully evaluated and hired elite engineers
  • Frameworks to describe your coaching/management style, particularly for backend engineers, and how you’ve implemented those frameworks.
  • Examples of how you’ve organized roadmaps in an agile environments to ensure on-track team delivery
  • Examples of how you’ve delighted and managed customer expectations based on engineering capacity

Must Haves

  • 5+ years of software engineering experience
  • Past exposure/expertise in 1 of data intensive applications, distributed systems or data platform technologies.
  • Experience working in a high-velocity environment preferred
  • Experience building enterprise/B2B products preferred
  • Experience partnering with Machine Learning partners preferred
  • Experience working/leading across time zones preferred
  • 1+ year of management and/or Tech Lead leadership experience preferred
  • Exposure to tools & technologies like: AWS, Kafka, search indexing, microservices, key value stores, batch data platforms (e.g Spark) preferred
  • Can read Python or Go (Golang) preferred


At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our benefits and perks page.
Base salary range:
$167,100$192,200 USD