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rust python cloud security go llmsπ Description
- Lead research to identify vulnerabilities and threats in Generative AI and LLMs
- Develop PoC attacks and adversarial techniques for educational and defensive purposes
- Translate findings into detection content, product improvements, and backlogs
- Collaborate with product managers and engineering to integrate research into Datadog's platform
- Share research via blogs, talks, and open-source contributions
- Engage with cloud providers and open-source communities for responsible disclosure
π― Requirements
- Experienced in Generative AI systems with vulnerabilities like prompt injection or model poisoning
- Familiar with OWASP Top 10 for LLMs and security principles in AI environments
- Background in offensive security, penetration testing, or vulnerability research in cloud or SaaS
- Able to independently plan and execute research with stakeholder alignment
- Skilled in communicating findings clearly through docs, internal sharing, or public forums
- Proficient in Go, Python, or Rust for building research tools
π Benefits
- New hire stock equity (RSUs) and ESPP
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for networking
- Inclusive culture and Datadog employee resource groups
- Access to Inclusion Talks and internal panel discussions
- Free global mental health benefits for employees and dependents age 6+
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