Manager, Security Engineering

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

You may be a good fit if:

• You have 8+ years of previous experience in Application Security / Security Engineering with a strong focus on vulnerability management, SDLC and bug bounty programs.
• Proven experience with SAST, DAST, and penetration testing methodologies and tools
• Proficiency with programming languages (Python, GoLang, etc.) and web technologies
• Experience with cloud platforms (AWS, GCP, Azure) and container security
• Excellent communication and interpersonal skills with ability to influence technical and non-technical stakeholders
• Experience building and managing high-performing security teams
• You are comfortable with ambiguity and are able to make informed decisions with little data.
• You employ a flexible and constructive approach when solving problems.
• You are able to make trade-offs between build vs. buy decisions—help build solutions and be able to review what tools are available.
• You understand secure engineering best practices, can articulate problem statements, and propose solutions to both technically savvy and non-technical audiences.
• You have a deep technical understanding of common security vulnerabilities and risks, as well as countermeasures and compensating controls.

Apply:

If you are passionate about solving complex revenue challenges in a dynamic AI environment and want to join a team that values technical excellence and innovation, we encourage you to apply.

Working Location:

Remote US or Canada