Lead Security Researcher: AI-Driven Vulnerability Remediation

PI Security LLC; San Francisco (CA); On-site; USD 150,000 - 260,000; Full time

Job summary

PI Security LLC is seeking a Lead Security Researcher to head security research in San Francisco or Israel. This is a full-time onsite role focused on inventing novel, production-ready approaches to detect, triage, and remediate vulnerabilities using LLMs and program analysis.

You will own the research agenda, establish proofs of concept, and drive them through to production with engineering. You’ll define benchmarks, ensure quality, and help the company translate research into a scalable

Qualifications

• 8+ years in security research or related field.
• Startup environments, 0→1 mindset and ambiguity handling.
• Track record turning research into shipped features or tools.
• Deep knowledge of modern stacks (microservices, containers, cloud).
• Proficiency in Python, Go or TypeScript across production code.
• Ability to design experiments, datasets, and benchmarks.
• Hands-on experience applying LLMs to real problems.
• Proven vulnerabilities research with responsible disclosure.
• Strong communication to engineers, executives, and customers.
• US or Israel work authorization.

Responsibilities

• Lead security research and invent novel approaches that become product capabilities.
• Own the path from idea to shipped capability: hypothesis, POC, measurement, and production handoff.
• Define datasets, benchmarks, and evaluation pipelines to ensure quality to customers.
• Set and evolve the research agenda as the team grows.

Skills

Security research

Startup experience

Research-to-product

System design

Python

Go

TypeScript

Data analysis

LLM technology

Communication

US/Israel work authorization

Job description

PI Security LLC is seeking a Lead Security Researcher to head security research in San Francisco or Israel. This is a full-time onsite role focused on inventing novel, production-ready approaches to detect, triage, and remediate vulnerabilities using LLMs and program analysis.

You will own the research agenda, establish proofs of concept, and drive them through to production with engineering. You’ll define benchmarks, ensure quality, and help the company translate research into a scalable