Product Manager - Machine Learning Data Platform

The Opportunity

We are a fast-growing cybersecurity startup that is using Machine Learning at scale to prevent fraud and cyber crimes. As an APM working on the ML Data Platform, you will be building foundational infrastructure and tooling for human-in-the-loop systems that support our machine learning-based threat detection system. You will work closely with Machine Learning Engineers and Leadership on strategy and requirements for key projects, while also staying close to Operations and Security Analysts to ensure we are building high quality systems for these stakeholders. You will own the full product lifecycle for core product features, and collaborate with your EM/TL on the strategic roadmap and vision for the team.

Who you are:

• Comfortable with the fast pace of a rapidly-growing startup
• Goal-oriented and able to operate autonomously to drive successful outcomes for your areas of ownership
• Strong analytical skills and capable of tackling large, ambiguous, and multifaceted problems across multiple teams and functions
• Exceptional communicator, with the ability to effectively collaborate with other stakeholders in both written and verbal form
• Committed to personal and professional growth, with a constant desire to improve, create value, and make your team better

What you’ll do: 

• Build internal products to allow us to produce training data for ML models at scale, taking into account needs of detection engineers and operational requirements for HCOMP
• Contribute to strategic initiatives for the company by building tooling to support additional machine learning-driven product surface areas and meet requirements for new market expansion
• Work closely with Engineering, Design, Operations, and other product teams to ensure tight execution on tactical projects, as well as development of the longer term roadmap and vision for your team
• Collaborate with ML leadership and executives on longer term plans for our detection system, while bringing in feedback from customers, threat analysts, data scientists, and engineers

Experience you’ll need:

• BS or MS in Computer Science
• Prior work experience at an enterprise software company 
• Direct experience with Product Management
• Prior work experience in software engineering is strongly preferred

More About Abnormal Security:

Abnormal Security is defining the next generation of email security defense. Our platform uses machine learning and artificial intelligence to baseline communication content, user identity, and behavioral signals in real-time and at-scale in order to detect the abnormalities of email attacks.  Customers love us because we consistently detect and stop what everyone else in the market can’t -- advanced attacks that have never been seen before -- and we do so with beautiful user interfaces and best-in-industry customer support.

Our veteran team has built some of the most enduring machine learning platforms at leading companies including Google, Twitter, Pinterest, Amazon, Microsoft, and Expanse. We are located in San Francisco,CA, New York, NY and Lehi, UT.

Our company is growing - we’re on the Forbes AI 50, selected as a Gartner 2020 Cool Vendor, and our customer base includes multiple Fortune 500 companies.

Abnormal Security is committed to creating a diverse work environment. All qualified applicants will receive consideration without regard to race, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.