Staff Software Engineer - Data Infrastructure (AI Cybersecurity) - Greylock

Greylock is currently exploring a genAI concept in cybersecurity. The founders have been deep in this space for years, most recently coming off of being early employees at one of the fastest growing cybersecurity companies today.

The company is seeking a staff level engineer that will be responsible for building the underlying systems that ingest data from their customers, transform it and make it available for their core system.

Please note

• this is an early stage startup, located in downtown San Francisco. Please only apply if you're able to be in person, in SF and are interested in a very young company, sub 15 people total.

Qualifications

• 8+ years of hands on experience building massive data systems (huge plus if you have experience with risk, fraud or ad targeting systems).
• Familiarity with Python, Spark, ETL pipelines, dbt, airflow and DAG's.
• Excellent software development skills with a can-do, fast-shipping attitude.
• Bachelor's degree or equivalent in a relevant field.
• Strong problem-solving and communication skills.

Responsibilities

• Design, implement, and maintain the core data pipelines and processing platform for our AI-native cloud platform.
• Build world-class, robust, scalable, and elegant solutions for complex cybersecurity use-cases.
• Choose and implement appropriate technologies and architectures.
• Ensure the scalability, reliability, and performance of all data systems.

About Greylock:

Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: https://greylock.com/

About the Greylock Recruiting team and me:

As full-time, salaried employees of Greylock, our team provides free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Our recruiting team, combined, has over 125 years of in-house recruiting experience at successful startups through FAANG’s and over 30 years of VC Talent.

How We Work:

I will contact anyone who looks like a potential match--requesting to schedule a call with you immediately. Once contacted, I'll explain our VC Recruiting model, spend some time getting to know you better, and will discuss various startup opportunities within our portfolio with you as well.