Proofpoint and Normalyze, a leader in DSPM, have joined forces to discover, classify and protect data across SaaS, PaaS, multi-cloud, on-premises and hybrid environments. Backed by Battery and Lightspeed.
About the role
AI is moving faster than any single product team can keep up with. For a security company, the hard question isn’t “can a model do this?” It’s which approach actually works, what it costs, how fast and reliable it is, and whether it’s worth building at all. That’s what this team answers. We’re an Applied AI Research team , and research is our product. We take important questions the company can’t yet answer and turn them into evidence people can act on.
What they're looking for
- Bachelors, Masters or PhD in Computer Science or related field or equivalent experience
- 5+ years building software and ML systems, with recent hands-on work on LLM systems that went past the prototype stage, 7+ years preferred
- 3+ years of research experience (understanding customer problems and deriving/brainstorming solutions)
- Experience with Claude Code, Cursor or similar, used daily, without lowering your standard for correctness and tests
- Experience in building and deeply evaluating agentic systems in production
- Experience with third-party model APIs and open-weight models (we run on our own GPU fleet)
More about this role
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.
At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:
Bold in how we dream and innovate
Responsive to feedback, challenges and opportunities
Accountable for results and best in class outcomes
Visionary in future focused problem-solving
Exceptional in execution and impact
AI is moving faster than any single product team can keep up with. For a security company, the hard question isn’t “can a model do this?” It’s which approach actually works, what it costs, how fast and reliable it is, and whether it’s worth building at all. That’s what this team answers. We’re an Applied AI Research...
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