Security Researcher

Pi.Security
· San Francisco, CA
· Full-time
· Onsite, 5 days a week

Pi is building an agentic product security platform for teams that need to secure software at the speed they build it.

Modern development is accelerating, but security knowledge is still scattered across code, tickets, documents, incidents, reviews, and the people who remember why decisions were made. Pi turns that context into institutional security memory, helping teams triage faster, remediate in context, prevent repeat vulnerability classes, and embed security guardrails where engineering work already happens. We are building for a future where security is not a blocker at the end of the development process.

It is part of how software gets designed, reviewed, shipped, and improved.

Pi was recognized on Fast Company's 2026 Next Big Things in Tech list and covered by Forbes!

You will lead security research s is not a bug hunting role. Your job is to invent the approaches that become product capabilities: new ways to detect, triage, and remediate vulnerabilities using LLMs and program analysis, proven on real data before a customer ever sees them.

You own the path from idea to shipped capability. You form the hypothesis, build the proof of concept, measure whether it actually works, and partner with engineering until it is in the product. You also own the quality bar: the benchmarks and evaluations that decide whether what we ship is good enough to put in front of customers.

You will set the research agenda, not just execute one. As the team grows, you will shape how research works here.

This role is based in our San Francisco office, five days a week. We build in person, alongside the founding team, and that is a deliberate choice.

• The research agenda
  - Identify where new approaches can meaningfully beat the state of the art in vulnerability detection, triage, and remediation, then decide what we pursue and what we kill. No one hands you a backlog.

• Approaches that ship
  - Build proofs of concept for new detection and remediation techniques, validate them against real world code and data, and carry the winners through to production with engineering. You are accountable for ideas becoming product, not staying research.

• The quality bar
  - Design the datasets, benchmarks, and evaluation pipelines that measure precision, coverage, and false positive rates. Nothing reaches customers past a bar you have not signed off on, and if quality slips, you catch it first.

• Vulnerability depth
  - Deep research into modern attack vectors across cloud (AWS/GCP), containers, microservices, APIs, AI generated code, and LLM applications. Not just how vulnerabilities are found, but how they are born, how they are fixed, and how a whole class gets eliminated.

• The data foundation
  - The internal corpus of vulnerabilities, exploit patterns, and remediation strategies the platform learns from. Its depth and correctness are yours.

• Our research voice
  - What we publish, where we speak, and the credibility the company earns in the security community. Your work should be visible.

• Experience. 8+ years in security research, vulnerability analysis, or applied security engineering.

• Startup DNA. You have worked in an early stage or 0 to 1 environment. Comfortable with ambiguity, shipping without a big org behind you, and changing direction when the data says so. This is a requirement, not a bonus.

• Research to product track record. You have turned research into things that shipped: features, tools, detections in production. Not just papers or reports.

• Technical depth. Deep expertise in modern application stacks (microservices, containers, cloud platforms). You understand how these…