Used Tools & Technologies
Not specified
Required Skills & Competences ?
Software Development @ 6 Go @ 5 Grafana @ 3 Kafka @ 3 Kubernetes @ 3 Prometheus @ 3 Terraform @ 3 Machine Learning @ 3 Leadership @ 3 Fraud @ 3Details
Groq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. Headquartered in Silicon Valley, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
Responsibilities
- Build Fraud and Abuse Mitigation for GroqCloud: Build appropriate measurement tools to characterize the amount of abuse on our platform. Assist in developing a roadmap and executing that roadmap to drive down abuse utilization.
- Design and Develop Detection Mechanisms: Design, provision, and deploy monitoring solutions to track fraud and abuse patterns in real-time. Build systems to detect anomalies and flag potential abuse automatically. Leverage machine learning where appropriate.
- Mitigation Tools and Automation: Build tools that cross-functional team members can use to stem detected abuse that has slipped through our automation.
- Observability and Analytics: Develop and maintain dashboards and metrics to monitor fraud and abuse trends.
- Balance Friction with User Experience: Recommend and build appropriate places for adding friction to account creation, etc. in order to stem abuse. Ensure we have appropriate measurements in place to understand the impact of these techniques.
- Communicate Effectively to Leadership: Build and maintain dashboards reviewed by leadership to provide visibility into fraud and abuse trends. Deliver actionable insights to drive informed decision-making regarding our free tier strategy and business tradeoffs.
- Continuous Improvement of Fraud Prevention Strategies: Stay ahead of emerging fraud and abuse tactics. Regularly evaluate and enhance tools, techniques, and processes to ensure robust fraud prevention and detection.
Requirements
- 6+ years of software development experience
- 3+ years building fraud and abuse detection systems, including real-time detection, anomaly detection, or abuse prevention systems.
- 3+ years writing software in Go
- Experience with Kubernetes, Terraform, PubSub/Kafka/Pulsar, and Stytch.
- Experience with Bigquery, Honeycomb, Prometheus + Grafana
- Experience with mitigating abuse across multiple regional deployments
- Knowledge of machine learning techniques and their application to fraud and abuse detection is a plus.
- Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders, ensuring alignment and buy-in for fraud mitigation strategies.
- Bias to Action: Make decisions and ship code. You shouldn’t like meetings.
- Self-Driven: See projects through end-to-end independently. You should have the desire to take a project from design all the way from idea to getting customer feedback.
- Attention to Detail: Focus on the nitpicks. Building with a high degree of craftsmanship and shipping great products is the way to have the most fun at work.
Benefits
At Groq, a competitive base salary is part of our comprehensive compensation package, which includes equity and benefits. For this role, the base salary range is $205,530 to $278,000, determined by your skills, qualifications, experience and internal benchmarks.
Groq is a geo-agnostic company, meaning you work where you are. Exceptional candidates will thrive in asynchronous partnerships and remote collaboration methods.