Tech Lead Manager - Security

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

We're seeking a Tech Lead Manager to establish a Security team for our fast growing Data as a Service Product. We are leveraging human expertise to build novel datasets for LLM providers but with that comes bad actors. As we are scaling out our product, this is an increasing problem that we need to get ahead of. 

You will be responsible for identifying and building systems and automations to eliminate Fraud within our systems and adapt with our ever changing product needs and as our bad actors become more sophisticated. You will also be responsible for evolving the security posture, owning the roadmap and working against it as priorities of security vectors evolve.

In order to do so you will also recruit, mentor and lead a team to help achieve this. You will work cross functionally with operations, recruiting, and other engineering teams to deeply understand our pipeline and unique constraints to remove internal and external threats to our system.

Primary responsibilities

• Identify, prevent and operationalize removal of fraud from our expert community’s contributions
• Define and execute against a security roadmap for the product including ensuring that product teams develop using security best practices 
• Build out a team to work against roadmap to make sure our systems are secure and minimize amount of bad actors in our system
• Design, develop and refine scalable fraud detection systems and algorithms

Preferred qualifications

• 5+ years of professional experience in security related domains
• 2+ years of professional experience in fraud 
• Willing to roll up your sleeves and dive deep into the problem
• Experience leading  individual contributors
• Knowledge of machine learning techniques and applications in fraud detection
• Understanding of security principles and data privacy best practices

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