Staff Product Security Engineer
Seattle; Boston; San Francisco
Full Time
13 hours ago
Senior LevelEngineering
Over $120K

USD per year

Job Description

Staff Product Security Engineer

DataRobot R&D is a hard-working, fast-moving, fun-loving team of developers who put products before pride. Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. DataRobot is seeking an experienced Staff Product Security Engineer to drive security innovation while ensuring our platform meets the rigorous demands of our Federal and Commercial customers. This is a highly technical, high-impact role where you will operate at the intersection of engineering, automation, and federal compliance (FedRAMP High / DoD IL5). You will serve as a subject matter expert for our Federal group, handle high-stakes customer security inquiries, and build automation using Python and Go. This role requires a unique blend of technical expertise, regulatory fluency, and diplomatic communication skills to navigate complex customer conversations.

Key Responsibilities:

Federal Compliance & Strategy:

  • Lead Federal Security: Serve as a primary technical lead for the DataRobot Federal Group, driving the acquisition and maintenance of Authority to Operate (ATO) at FedRAMP High and DoD IL5 levels.
  • Compliance Engineering: Translate complex federal controls (NIST 800-53) into actionable engineering requirements for commercial developers.
  • Audit & Policy Management: Write and maintain security policies (SSPs) and procedures. Develop, track, and remediate Plans of Action and Milestones (POA&Ms) and provide technical evidence during third-party audits.

Security Engineering & Automation:

  • Automate Everything: Develop custom automation to manage security tooling and implement "Secure-by-Design" processes in the CI/CD pipeline using Python or Go.
  • Container Security: Identify, design, and implement controls to safeguard our containerized production environments.
  • Tooling Management: Deploy and manage security testing tools for SAST, DAST, and SCA analysis (e.g., Semgrep, Trivy, Burp Suite).
  • Threat Modeling: Review technical designs for new features, performing threat models to prioritize risks and educate developer teams on secure coding practices.

Customer Trust & Vulnerability Management:

  • Customer Engagement: Act as the external face of DataRobot Security. Work directly with customers' security teams to resolve concerns regarding CVE exposure and architecture.
  • Customer-Centric Communication: Balance business needs with security rigor. You must be able to stand firm on security policies while maintaining strong professional relationships through clear, diplomatic, and solutions-oriented communication.

Knowledge, Skills, and Abilities:

  • Federal Fluency: Deep understanding of the FedRAMP authorization process,

NIST 800-53, and DoD Cloud Computing Security Requirements Guide (SRG).

Location:

Seattle, Washington, US | Boston, Massachusetts, US | San Francisco, California, US

Engineering:

Our Engineering department consists of distributed cross-functional teams that own various parts of DataRobot’s machine-learning platform ...

Our Core Values:

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How to Apply
About DataRobot

DataRobot offers an agent workforce platform built for outcomes, enabling enterprises to unify complex environments with foundational, business, and purpose-built agents. Their platform supports building, operating, and governing AI agents at scale across various industries and departments. They provide integrations with SAP and NVIDIA and focus on delivering secure, scalable, production-grade AI agents that replace multiple AI tools and launch quickly. DataRobot is recognized by industry leaders such as Gartner, IDC, Forbes, and Fortune for AI innovation and governance.

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