Eudia Logo

Eudia

Security GRC Engineer

Posted 26 Days Ago
Be an Early Applicant
In-Office
Palo Alto, CA, USA
Mid level
In-Office
Palo Alto, CA, USA
Mid level
Build and scale a technical security and compliance program across SOC 2, ISO 27001, HIPAA, AI governance, and customer assurance. Translate requirements into technical controls, automate evidence collection and testing, support audits, manage risks and remediation, and partner with Engineering, Infrastructure, IT, and Product. Maintain access, change, logging, vendor-risk, vulnerability, and incident-response controls while supporting FedRAMP and NIST 800-53 initiatives.
The summary above was generated by AI
About Eudia:
 
Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver. 
 
At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. 
 
We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you.

The Role
We are hiring a Security GRC Engineer to build and scale the technical backbone of our security and compliance program. This is not a traditional compliance seat. You will take a control requirement, trace it into the system that implements it, work with Engineering to get it right, and automate the evidence that proves it works.

You will operate across SOC 2, ISO 27001, HIPAA, and AI governance, and you will partner with our ISSM on public-sector and FedRAMP-related work rather than owning it. You will own real systems and processes, not just documents, and you will have real room to decide how the program gets built.

We are small and lean, so we value a bias to action. A working control that ships beats a perfect policy that does not.
What You’ll Do
  • Translate requirements from SOC 2, ISO 27001, HIPAA, and customer security assessments into concrete technical and operational controls, then validate that those controls actually work.
  • Automate evidence collection and control testing wherever it is practical, so audit readiness is a continuous state rather than an annual scramble.
  • Drive audit readiness and work directly with auditors and assessors to produce evidence, resolve questions, and remediate findings.
  • Own control mappings, risks, findings, exceptions, and remediation tracking as one coherent system across frameworks.
  • Partner directly with Engineering, Infrastructure, IT, and Product to design controls that fit how Eudia actually builds and ships software.
  • Support security reviews, due diligence, and the customer trust program for large enterprise customers, including security questionnaires and control documentation.
  • Work with vulnerability management to prioritize findings by severity, exploitability, reachability, and business impact, and drive them to closure.
  • Support AI governance for our legal-AI products: model inventory, data-handling requirements, and emerging assurance frameworks such as ISO 42001.
  • Keep the operational controls healthy: access reviews, change management, logging and monitoring, vendor and third-party risk, and incident response evidence.
  • Partner with our ISSM on NIST 800-53 and FedRAMP-related control work as our public-sector footprint grows.
  • Turn repeatable compliance work into automation, infrastructure, or product capability wherever you can.
What We Are Looking For
  • 4+ years in security, GRC, security engineering, cloud security, or compliance engineering.
  • A hands-on understanding of how modern SaaS and cloud environments actually work: identity, cloud infrastructure, networking, logging, CI/CD, application security, data flows.
  • Ability to read and reason about Terraform, Kubernetes manifests, CI/CD configuration, IAM policies, and other infrastructure-as-code artifacts.
  • Direct experience with at least two of SOC 2, ISO 27001, HIPAA, or NIST CSF / 800-53.
  • Able to go from a framework requirement to the technical implementation: inspect relevant configuration, logs, architecture, or code paths; determine whether the control is effective; and work with Engineering to fix it when it is not.
  • Experience working shoulder to shoulder with engineers, rather than running GRC as a separate function.
  • Hands-on experience using APIs, scripting, SQL, or similar tools to automate evidence collection, control testing, or other security workflows.
  • Clear writing. You can explain a control to an engineer, an auditor, a customer, and an executive, and have each of them understand it.
  • Strong judgment for separating real security risk from compliance noise.
  • Comfort in an early-stage startup where the right move is often to build the process rather than inherit one.
Nice to Have
  • Azure or AWS security and cloud-native infrastructure, including Kubernetes and container security.
  • Identity platforms such as Okta or Auth0.
  • SIEM, vulnerability management, SAST/SCA, endpoint, and cloud security tooling.
  • Compliance-as-code or automated continuous control monitoring.
  • Familiarity with AI/ML systems, LLM applications, or AI governance such as ISO 42001.
  • Exposure to FedRAMP or NIST 800-53 environments. Our ISSM leads this work, so depth here is a plus, not a requirement.
  • Experience supporting security diligence for Fortune 500 customers.
How We Think About GRC
We do not treat compliance as paperwork. A control should exist because it reduces risk, builds customer trust, or lets the business operate in a market that matters. Wherever we can, controls should be:
Engineered rather than manual.
Continuous rather than point-in-time.
Evidence-based rather than assertion-based.
Risk-driven rather than checkbox-driven.
You will help us build that kind of program.
What Success Looks Like in Your First Year
  • Engineering teams understand what controls require, and why.
  • Audit evidence is increasingly generated automatically.
  • Controls, risks, and exceptions have clear owners and remediation paths.
  • SOC 2, ISO 27001, HIPAA, and customer assurance run as one control system, not separate exercises.
  • Eudia adds new frameworks and customer requirements without a proportional increase in manual GRC work.
  • Auditors and customers receive clear, technically credible answers.
  • Compliance becomes an accelerator for enterprise and public-sector growth, not a bottleneck.

Similar Jobs

12 Days Ago
In-Office
Mountain View, CA, USA
164K-282K Annually
Expert/Leader
164K-282K Annually
Expert/Leader
eCommerce
Design and maintain enterprise AI security and risk frameworks aligned with global regulations and standards. Translate requirements into policy-as-code, security baselines, technical controls, and continuous monitoring logic. Assess AI-specific threats such as prompt injection, data leakage, model extraction, shadow AI, and supply-chain vulnerabilities. Partner with AI/ML, infrastructure, security, Legal, Privacy, and assurance teams to embed governance into architectures, CI/CD workflows, and runtime environments. Own AI policy lifecycle, privacy safeguards, model adoption decisions, and cross-border data requirements.
Top Skills: Ai/MlAWSCi/CdData TokenizationIso 42001LlmsNist Ai RmfNist CsfPipaPolicy-As-Code
One Month Ago
In-Office
2 Locations
Entry level
Entry level
Artificial Intelligence • Generative AI
Design and scale the security governance, risk, and compliance program. Automate evidence gathering and control testing, manage audit and customer relationships, conduct product and vendor compliance reviews, support security and AI governance contract terms, assist with incident communications, build self-service customer security tools, and maintain corporate security policies.
Top Skills: Aiuc-1Iso 27001Iso 42001Soc 2
41 Minutes Ago
In-Office
Santa Clara, CA, USA
156K-204K Annually
Senior level
156K-204K Annually
Senior level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Design, train, and evaluate deep neural networks, foundation models, vision-language models, and AI agents for telecom use cases. Reproduce research-paper methods, run scalable experiments on cloud platforms or GPU clusters, and collaborate with researchers and engineers to move proofs of concept into production-ready solutions for cellular networks.
Top Skills: Ai AgentsAWSAzureDeep Neural NetworksFoundation ModelsGCPGpu ClustersJaxLarge Language ModelsMultimodal LlmsPythonPyTorchRosVision-Language Models

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account