Director, Security Engineering
Instructure is hiring a Director, Security Engineering for a remote role open to applicants in United States. It pays $200k-$225k a year and Level rates it ; you can apply on Instructure.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions AWS, Wiz and RAG among its tools and skills.
- Instructure has 58 other open roles on Level.
- Posted within the past week.
AI in this role
Lead product, cloud, and AI security engineering functions as the Director of Security Engineering at Instructure.
At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.
We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:
Job Description
The Director, Security Engineering owns how Instructure builds and runs securely. The role leads three core functions: product security, embedded in R&D teams, cloud and infrastructure security across AWS, and AI security. It also owns security architecture standards, vulnerability management, and edge security. Reports to the CISO.
Responsibilities:
Product security
Lead product security: threat modeling, design review, and the release gate. The team works inside R&D teams on a dotted line.
Approve standard product launches and own pen test and bug bounty intake.
Cloud and infrastructure security
Lead cloud and infrastructure security: IAM, AWS guardrails, infrastructure as code, patch policy, secrets rotation, and privileged and non-human access.
Own the WAF standard and approve WAF rule changes and patch window changes
AI security
Lead AI security: set security standards for AI features, agents, and AI services that Instructure builds or integrates.
Define controls for prompt injection, excessive agent permissions and tool abuse, data leakage, and unauthorized access through RAG and connectors.
Set intake and risk review for third-party AI services, and manage shadow AI risk with GRC.
Include AI-specific risks in threat modeling, design review, and the release gate.
Work with the Security Architect on AI reference patterns, and with GRC on AI governance and risk.
Architecture, vulnerability management, and delivery
Set security architecture and design standards, working through the Security Architect.
Own vulnerability management: Wiz across code and cloud, SLAs by team, exceptions, and disputes.
Set secure SDLC standards and release criteria, including code scanning gates, with the Security Platform and Vulnerability Management Lead.Support customer security reviews as the technical expert, working with GRC.
Deliver the Security Engineering commitments in the plan, and track Engineering commitments with the VP of Engineering.
Hire, lead, and grow the team, and write job descriptions for the team's roles.
Success measures
New in-scope features, including AI features, get a security design review before release.
Vulnerability SLA performance reported to Engineering leaders monthly, with overdue items escalated to the owning VP.
Security Engineering commitments delivered on the committed date.
Open Security Engineering roles filled on planned dates.
Security Engineering spend managed to budget.
Product security coverage, remediation speed, and escaped defects reported quarterly.
Every team member has a written development plan, reviewed quarterly.
Qualifications
10+ years in security engineering, including 5+ years leading security teams.
Has led product security and cloud security teams, with hands-on depth in cloud environments.
Practical knowledge of AI and LLM security risks, such as prompt injection, agent abuse, and data leakage, and of frameworks such as OWASP Top 10 for LLM Applications and NIST AI RMF.
Has influenced senior Engineering leaders on design and risk trade-offs.
Experience in SaaS, ideally handling regulated data such as education records (FERPA, COPPA).
Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:
Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
Comprehensive wellness programs and mental health support
Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
The technology and tools you need to do your best work
Motivosity employee recognition program
A culture rooted in inclusivity, support, and meaningful connection
We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.
Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.
All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.
Any attempt to misrepresent personal or professional information will result in disqualification.
How we rate this
Director, Security Engineering at Instructure rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where security engineering was part of your work. What did you do?
- Tell me about a project where threat modeling was part of your work. What did you do?
- Tell me about a project where vulnerability management was part of your work. What did you do?
- Tell me about a project where cloud security was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, Security Engineering, Threat Modeling, Vulnerability Management, and Cloud Security. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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