Director, Enterprise Security & IT
- Compensation
- CA$155K–CA$200K / yr
- Location
- Vancouver, British Columbia
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Not specified
- Posted
Skills
Must have
- You've run security and compliance at a B2B SaaS company handling sensitive customer data. You're comfortable owning DLP, data retention, and privacy frameworks, and you can work through a security qu
- You've led IT operations for a whole company, covering equipment, access, and tooling.
- You know security frameworks (SOC 2, ISO 27001, NIST) and global privacy regulations (GDPR, CCPA) in depth.
- You're comfortable with ambiguity and building without a playbook.
- You communicate clearly with both technical peers and non-technical leaders, and can explain a risk to an engineer and to a CEO.
- You've negotiated data protection agreements and security exhibits in vendor and customer contracts.
- You understand AI security and governance: data retention commitments, access and permissioning for AI agents and integrations, and risk acceptance for AI tooling.
- You've worked closely with product and engineering teams to turn security and compliance goals into reality.
Nice to have
- You've owned a DevOps and/or security engineering function inside a larger engineering org.
- You've brought previously siloed security, compliance, and IT teams together under one roof.
- You know privacy and data residency frameworks for an international customer base.
- You've managed distributed or hybrid teams.
Full description
At Klue, We’re Building the Future of Competitive Intelligence
We’re looking for a Security, Compliance & IT Leader 👋
As our Director, Enterprise Security & IT, you'll sit at the intersection of security, compliance, and IT operations. You'll be accountable for how Klue protects customer data and how every Kluebee gets equipped to do their best work. Today, these three areas sit under different teams. You'll turn them into one team with one roadmap, working alongside an Engineering org that already builds and runs our product infrastructure.
Your Mission? To own the security and compliance posture that our customers, our sales team, and our own people rely on. That covers everything we do: from building the product, to the internal automations, to the tools we use, and how we use AI. You'll set the standard, build the systems and set the rhythm to meet it. And in the process, make the secure way, the easy way.
What's In It for You?
**You won't inherit a playbook. You'll write it. You'll define the operating model, the culture, and the technical direction for a brand-new function, and shape a small, sharp team of 2 from day one. You'll report directly to the CTO and work closely with the Senior Leadership Team, as well as the Engineering, Product, Sales, and People teams. You'll tackle big questions like how to govern AI agents connected to company systems, and your answers will set policy at Klue. As Klue grows, so do the team and your scope. You have the power to shape what that looks like.
What You'll Do
- Own security posture and incident readiness. Mature how Klue prevents, detects, and responds to security issues. Design the incident response process and governance, and make sure everyone knows their role before something goes wrong.
- Run the compliance engine. Own the annual audit cycle against SOC 2 Type II, NIST CSF, and BSIMM, plus penetration testing, from evidence collection to a successful finish. Build audit methodology and documentation that make reviews faster and less painful for the whole company.
- Be the security answer for go-to-market. Keep customer questionnaires, external assessments, and audits moving on time. Review and negotiate data protection agreements and security exhibits with customers and vendors so what we sign matches what we do.
- Govern vendors, data, and privacy. Run full-spectrum vendor reviews, including sub-processor qualification. Own DLP, data retention, and the privacy framework for an international customer base, including data subject access requests.
- Set the rules for AI and high-risk access. Own AI security governance: policies, risk acceptance, data handling, and permissioning for AI tools, agents, and integrations connected to company systems. Define and enforce access governance for high-risk systems, including admin access reviews, service accounts vs. individual credentials, and controls on sensitive logs and data.