Senior Security Researcher

Posted 5 Hours Ago
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Hiring Remotely in Portugal
Remote or Hybrid
Senior level
Artificial Intelligence • Cloud • Information Technology • Security • Software • Cybersecurity • Data Privacy
Snyk helps organizations build fast and stay secure in the age of AI.
The Role
Research and exploit vulnerabilities in LLM applications and autonomous agents. Build attack tooling, agent harnesses, evaluations, benchmarks, and reproducible proofs of concept to improve AI security products. Conduct AI red teaming, offensive security testing, failure analysis, experimental validation, and exploit reporting. Collaborate with research teams and communicate technical findings, risks, tradeoffs, and remediation recommendations to technical and non-technical stakeholders.
Summary Generated by Built In
Unleash AI Innovators, Securely

Software is being rewritten in real time. AI agents are starting to write more code than humans do, at a speed no security team has ever had to match, and that single shift is opening up the biggest opportunity our industry has seen in a decade. We're not bracing for it, we're building the company that owns it.

Snyk is building the next generation security platform where security isn't a set of tools people operate. It's a team of security agents working alongside your engineers, finding, fixing, and governing risk at the speed software is now built. These agents work alongside both the company build and the agents they adopt. Security stops being a queue of work waiting for people, and becomes a coordinated workforce companies direct and trust.

Research and exploit weaknesses in LLM applications and autonomous agents. Build attack tooling, agent harnesses, and reproducible evaluations that turn offensive research into measurable improvements in AI security and improve on Snyk’s offensive security product offering.

Looking for candidates with experience in the following areas:

  • AI red teaming: Prompt injection, jailbreaks, data leakage, tool abuse, and multi-step adversarial attacks.

  • Offensive security: Web/API penetration testing, authentication and authorization flaws, business logic attacks, and exploit chaining.

  • LLM fundamentals: Model behavior and limitations, inference, context management, retrieval, and tool calling.

  • Harness engineering: Agent orchestration, tool integrations, state management, sandboxed execution, and reproducible runs.

  • Agent security: Trust boundaries, permissions, memory poisoning, scope enforcement, and guardrail bypass testing.

  • Evals and benchmarks: Realistic attack scenarios, ground truth, reliable graders, dataset quality, and regression suites.

  • Experimental design: Controlled comparisons, repeated trials, attack success rates, precision/recall, and cost/performance measurement.

  • Research engineering: Strong Python, APIs, containers, browser automation, and building maintainable research tools.

  • Failure analysis: Inspecting prompts, traces, and tool outputs to distinguish model, harness, and environment failures.

  • Exploit validation and reporting: Reproducible proofs of concept, demonstrated impact, false-positive analysis, and actionable remediation.

Collaboration and communication:

  • Collaborative research: Experience delivering research in a team and translating findings into actionable recommendations that shape priorities and strategy.

  • Written and verbal communication: Clearly communicate complex research findings, risks, and tradeoffs to technical and non-technical stakeholders.

About Snyk

Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk.

Equal Employment Opportunity

Snyk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Skills Required

  • Experience with AI red teaming, including prompt injection, jailbreaks, data leakage, tool abuse, and multi-step adversarial attacks.
  • Experience with offensive security, including web and API penetration testing, authentication and authorization flaws, business logic attacks, and exploit chaining.
  • Understanding of LLM fundamentals, including model behavior, inference, context management, retrieval, and tool calling.
  • Experience with harness engineering, including agent orchestration, tool integrations, state management, sandboxed execution, and reproducible runs.
  • Experience with agent security, including trust boundaries, permissions, memory poisoning, scope enforcement, and guardrail bypass testing.
  • Experience creating evaluations and benchmarks, including realistic attack scenarios, ground truth, reliable graders, dataset quality, and regression suites.
  • Experience with experimental design, including controlled comparisons, repeated trials, attack success rates, precision and recall, and cost-performance measurement.
  • Strong Python skills and experience building maintainable research tools using APIs, containers, and browser automation.
  • Experience conducting failure analysis by inspecting prompts, traces, and tool outputs.
  • Experience with exploit validation and reporting, including reproducible proofs of concept, demonstrated impact, false-positive analysis, and actionable remediation.
  • Experience delivering collaborative research and translating findings into actionable recommendations for priorities and strategy.
  • Strong written and verbal communication skills for explaining complex research findings, risks, and tradeoffs to technical and non-technical stakeholders.

What the Team is Saying

Ciana
Carissa
Brian
Erica
Ashok Narayanan
Rodrigo Santos
Lulu Weisz
Lulu Weisz
Ashok Narayanan
Ken MacAskill
Rodrigo Santos
Lulu Weisz
Rodrigo Santos
Lulu Weisz
Ashok Narayanan
Rodrigo Santos
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The Company
HQ: Boston, MA
1,000 Employees
Year Founded: 2015

What We Do

Snyk, the leader in secure AI software development, empowers organizations to build fast and stay secure by unleashing developer productivity and reducing business risk. The company’s AI Trust Platform seamlessly integrates into developer and security workflows to accelerate secure software delivery in the AI Era. Snyk delivers trusted, actionable insights and automated remediation, enabling modern organizations to innovate without limits. Snyk is redefining secure AI-driven software delivery for over 4,500 customers worldwide today.

Why Work With Us

Every team member at Snyk contributes to our vision for a more secure digital world. No matter where we are in the world, we operate as one team and work together to shape the future of application security. We take immense pride in the diversity of our people, cultures, and experiences.

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Employees engage in a combination of remote and on-site work.

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