Sr Engineering Manager - Machine Learning

Abnormal Security’s Behavioral Security Products team is defining the next generation of security for Software as a Service and cloud offerings. Enterprises of all sizes have begun to adopt cloud offerings from Google Docs to Box to Slack: work that once took place in a single office building or behind a firewall is now happening out on the open internet, and criminals are very aware of the opportunities to steal data, hijack important financial information, and otherwise compromise companies that use these cloud services. Come help us build a new layer of protection that will give enterprises the same level of security for their cloud offerings as Abnormal Security’s industry-leading products do in the email security space. 

The Behavioral Security Products team is looking to add a Senior Engineering Manager, who will report to our Senior Director of Engineering, David Hagar, and collaborate with our world-class team. The Account Takeover team is developing a product that’s a critical bet for Abnormal’s future success. The individual in this role will have the opportunity to lead and grow a team of engineers while launching an enterprise-grade product.

As a Senior Engineering Manager in the Behavioral Security Products org you will be expected to: 

• Manage a team of ~5 machine learning engineers in New York (who work across Eastern time zones) to build world class detection systems 
• Manage a team of ~5 full stack engineers who are ensuring happy customers by building the product facing features to explain and remediate attacks
• 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

Someone who might thrive: 

• An Engineering Manager who wants to challenge themselves to manage a team with aggressive deliverables for a scaling enterprise/B2B product. 
• Someone who has always taken on and enjoyed mentoring and growing peers in a fast-paced, iterative environment. We take employee growth seriously and want someone who has thoughtful frameworks to deliver upon the expectations listed above. 
• An aspiring entrepreneur who wants to hone their already-strong soft skills and delight customers.

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 is a growing team that is navigating unknowns 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. 
• Cares only about technical challenges - expectations are that this person is building a product and helping guide it to product market fit. 

Requirements: 

• The ability to showcase how you’ve successfully evaluated and hired elite engineers 
• Frameworks to describe your coaching/management style, particularly for backend engineers across various time zones, 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
• 5+ years of software engineering experience, 1+ year of management leadership

Preferred: 

• Experience working in a high-velocity environment
• Experience building enterprise/B2B products
• Experience partnering with Machine Learning partners
• Experience working/leading across time zones
• 1+ years of software engineering management experience
• Exposure to AWS, Kalfka, containerized services, microservices, key value stores
• Can read python/go 

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: 

• Taking on additional product lines after guiding general ATO to product market fit. 
• Positioning yourself to be a Founder or early-stage executive

We offer you: 

• The opportunity to be part of a truly special team. Our veteran team has built some of the most enduring machine learning platforms at leading companies including Google, Twitter, Pinterest, Amazon, Microsoft, and Expanse. Our customer base includes multiple Fortune 500 companies. 

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