Security Engineering Manager

About This Opportunity

Our talent team is representing a confidential SaaS organization seeking a Security Engineering Manager to build and lead their first dedicated security engineering function. This is a true greenfield leadership opportunity—you will design the security program from the ground up, choose the tooling, hire and grow the team, and stay hands-on throughout. This is a player-coach role with direct executive sponsorship and the autonomy to define standards and priorities from first principles.

The organization is aggressively pro-AI in their engineering culture, treating AI as a force multiplier for security review, triage, and detection engineering. If you want to build a modern security program with AI in your toolbox and genuine executive support, this role offers that rare combination of greenfield opportunity and organizational commitment.

This position is remote within the USA.

Responsibilities

• Design and execute the organization's security engineering program across identity and credential standards, least-privilege authorization, secrets management, managed-device standards, attack-surface governance, secure SDLC, centralized logging and detection, vulnerability disclosure, and AI governance
• Own the security roadmap, sequencing and prioritizing work to target the highest risk reduction per unit of engineering effort
• Maintain a visible, prioritized security-debt register as an engineering backlog rather than an audit artifact
• Lead security tooling and vendor decisions, including evaluation, selection, and build-vs-buy judgment
• Provide clear, honest executive reporting on program status, risk posture, and progress
• Lead and participate directly in architecture and design reviews for security-relevant work
• Contribute hands-on to proofs of concept, detection logic, automation, and reviews where it matters most
• Hire security engineers across levels and build an effective, collaborative team (2-4 direct reports initially)
• Coach and mentor each direct report, including growing early-career engineers into strong contributors
• Partner with DevOps, IT, and product engineering teams to embed security standards into existing workflows
• Apply AI tooling to security review, triage, and detection engineering, and define the guardrails under which it operates

What We're Looking For

• Strong senior or staff-level individual contributor background in security engineering, infrastructure engineering, or platform engineering—you have personally built the kinds of systems you will now lead
• Demonstrated ability to design and drive a security program or comparable cross-cutting technical initiative from ambiguity to delivery
• Working depth in modern cloud security practice: cloud IAM, credential federation, secrets management, secure SDLC, and detection/logging (multi-cloud environment: primarily AWS, growing GCP footprint, small amount of Azure; depth in one cloud and fluency across the rest is fine)
• Strong coaching and mentoring skills with a track record of growing engineers, including those early in their careers
• Sound judgment on tooling and vendor decisions, including knowing when to build and when to buy
• Clear, direct communication skills with executives and engineers, in writing and in person
• Enthusiasm for using AI as a working tool in security engineering—we want practitioners who are energized by this
• Pragmatism: bias toward risk reduction that ships over frameworks that impress

Our client cares about demonstrated ability, not certifications or credentials. If you have built and led this kind of work, we want to talk to you.

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and confirm alignment with the role. Qualified candidates are then submitted to our client for consideration. Please do not attempt to contact the client directly, as all communication is managed through our talent team to ensure a professional and coordinated process.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to equal employment opportunity. All qualified applicants receive consideration without regard to race, color, religion, sex, age, disability, veteran status, national origin, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.