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Security Innovation Jobs in Seattle, WA (NOW HIRING)

DataRobot

Staff Product Security Engineer

Seattle, WA · On-site

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 ...

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Security Innovation information

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$15

$29

$59

How much do security innovation jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for security innovation in Seattle, WA is $29.56, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $33.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Security Innovation, and why are they important?

To excel in Security Innovation, you need a strong background in cybersecurity principles, risk assessment, and creative problem-solving, often supported by a degree in computer science or information security. Familiarity with tools like penetration testing suites (e.g., Metasploit), security frameworks (e.g., NIST, ISO 27001), and certifications such as CISSP or CEH is highly valuable. Standout professionals demonstrate adaptability, critical thinking, and effective communication to drive innovative solutions and collaborate with cross-functional teams. These competencies are vital for staying ahead of evolving cyber threats and ensuring robust protection of organizational assets.

What types of projects do professionals in Security Innovation typically work on, and how do these projects contribute to organizational security?

Professionals in Security Innovation often work on projects such as developing new cybersecurity tools, conducting penetration testing, and creating strategies to anticipate emerging threats. These projects may involve collaborating with software development, IT, and compliance teams to ensure security is integrated into every stage of product development. By staying ahead of evolving cyber risks, Security Innovation teams help organizations proactively protect sensitive data and maintain regulatory compliance. This dynamic work environment fosters continuous learning and offers opportunities to influence security protocols across the organization.

What is Security Innovation?

Security Innovation refers to the development and implementation of new technologies, strategies, and practices aimed at improving the security of information systems, networks, and data. Professionals in this field work to anticipate and address emerging security threats by designing innovative solutions such as advanced encryption methods, secure software development practices, and novel risk management approaches. Their goal is to stay ahead of cybercriminals and ensure the ongoing protection of digital assets. Security Innovation often involves research, collaboration, and continuous learning to adapt to the rapidly evolving cybersecurity landscape.

What is the difference between Security Innovation vs Security Analyst?

AspectSecurity InnovationSecurity Analyst
Required CredentialsCertifications like CISSP, CISA, security-related degreesCertifications like CompTIA Security+, CISSP, often similar
Work EnvironmentResearch and development, product security, innovation teamsMonitoring, analyzing security threats, incident response
Employer & Industry UsageTech companies, cybersecurity firms, product developersOrganizations across industries, IT departments, security firms

Security Innovation focuses on developing new security solutions and products, while Security Analysts primarily monitor and respond to security threats. Both roles require similar certifications and often work within the same industry environments, but their core responsibilities differ—one innovates, the other defends.

Security Innovation jobs near you
Infographic showing various Security Innovation job openings in Seattle, WA as of July 2026, with employment types broken down into 83% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $61,495 per year, or $29.6 per hour.
Staff Product Security Engineer

Staff Product Security Engineer

DataRobot

Seattle, WA • On-site

Full-time

Medical, Dental, Vision

Posted 20 days ago

Job description

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).

  • Technical Proficiency:

    • Fluent in writing code using Python or Go to build security automation.

    • Must have a deep understanding of Linux containers (internals, security isolation).

    • Familiarity with Kubernetes orchestration is strongly preferred.

    • Hands-on experience with common security tools such as Semgrep, Trivy, and Burp Suite.

  • Strategic Mindset: Experience determining not just how to fix a bug, but why it happened and how to prevent it systemically.

  • Soft Skills: Strong leadership skills for guiding teams and liaising with various stakeholders.

Requisite Education and Experience:

  • Citizenship: Must be a United States Citizen residing in the United States.

  • 8+ years of experience working in Information Security, with significant time spent in Product Security or AppSec roles.

  • Bachelor's or Master's degree in Computer Science, Cybersecurity, Information Systems, or a related field (or equivalent experience).

The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

  • Wow Our Customers
  • Set High Standards
  • Be Better Than Yesterday
  • Be Rigorous
  • Assume Positive Intent
  • Have the Tough Conversations
  • Be Better Together
  • Debate, Decide, Commit
  • Deliver Results
  • Overcommunicate


Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit.

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.


Use of Artificial Intelligence in Our Hiring Process


DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

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