Security Researcher

Pi Security • San Francisco, CA

3d • Onsite

About The Position

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 !

About the Role
You will lead security research at Pi. This 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.

Requirements

• 8+ years in security research, vulnerability analysis, or applied security engineering.
• Startup DNA: experience in an early stage or 0 to 1 environment, comfortable with ambiguity, shipping without a big org, and changing direction based on data.
• Research to product track record: experience turning research into shipped features, tools, or detections in production.
• Deep expertise in modern application stacks (microservices, containers, cloud platforms).
• Strong programming ability in at least one modern language (Python, Go, TypeScript).
• Experience designing experiments, building datasets or benchmarks, and measuring quality quantitatively.
• Hands-on experience applying LLMs to real problems (evaluation, prompting, fine tuning, agentic systems) or a demonstrated ability to get there fast.
• History of discovering serious vulnerabilities (CVEs welcome) and responsible disclosure.
• Ability to clearly explain complex attacks and their real impact to engineers, executives, and customers.
• Permanent authorization to work in the US.
• Willingness to work onsite in San Francisco five days a week.

Nice To Haves

• Research that went public and mattered (publications, disclosures, or talks that changed how people think about a problem).
• A product built at a startup that shipped and real users depended on.
• Novel ways of putting LLMs or agents to work inside real engineering or security workflows, beyond demos and prompt wrappers.
• A healthy disrespect for "that's how we've always done it," and a track record of building the better way.

Responsibilities

• 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.
• 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.
• Design the datasets, benchmarks, and evaluation pipelines that measure precision, coverage, and false positive rates.
• Deep research into modern attack vectors across cloud (AWS/GCP), containers, microservices, APIs, AI generated code, and LLM applications.
• Develop the internal corpus of vulnerabilities, exploit patterns, and remediation strategies the platform learns from.
• Contribute to company publications, speaking engagements, and building credibility in the security community.

Benefits

• Meaningful equity in Pi.Security
• Medical, dental, and vision coverage for you and your family, starting the 1st of the month after you join.
• Flexible Spending Accounts (FSAs) for health and dependent care
• Commuter benefits
• Unlimited PTO
• 401(k)
• Health and wellness stipend
• Lunch allowance on in-office days

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed