Director of Engineering (AI Security)

Jobot; New York (NY); À distance; USD 250 000 - 350 000; Plein temps

Avantages offerts par ce poste

Fully remote

Competitive compensation

Résumé du poste

Jobot is seeking a Director of Engineering for a highly visible leadership role overseeing multiple engineering teams. The position emphasizes AI-native development, reliability, and scalable SaaS platforms.

You will partner with executive leadership to shape technical direction and accelerate velocity with quality. The role requires a strong software engineering foundation and experience leading managers, with a focus on cloud architectures, DevOps, and production reliability.

Qualifications

• 10+ years of progressive software engineering experience

Responsabilités

• Lead multiple engineering teams, mentoring Engineering Managers and senior engineers

Connaissances

Cloud-native architecture

AWS or public clouds

Distributed systems

Kubernetes

DevOps & SRE

CI/CD

Observability

High-availability SaaS

AI-assisted software engineering

Description du poste

Job details

Salary: $250,000 - $350,000 per year

Want to work for one of the world fastest growing AI security companies? Fully remote & excellent compensation package!

This Jobot Job is hosted by: Craig Rosecrans

A bit about us

We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of artificial intelligence, cybersecurity, and enterprise software to hire a Director of Engineering.

This is a highly visible leadership role responsible for multiple engineering teams and major technical initiatives across the organization. The Director will work closely with the VP of Engineering and executive leadership to help shape the company's technical direction while guiding engineering teams through an increasingly AI-native and agentic development model.

The right person will bring a strong software engineering foundation, experience leading managers and senior engineers, and enough technical depth across modern software architecture, cloud infrastructure, reliability, and DevOps to effectively challenge and guide technical teams.

This is not a purely administrative engineering leadership position. The company wants someone who understands how modern software is designed, built, deployed, operated, and scaled and who can help engineering teams move faster without sacrificing reliability or technical quality.

Why join us?

This company recently completed a significant new funding round and is entering its next stage of growth. Engineering will be central to that expansion, making this an opportunity to influence not only individual products but how the broader engineering organization operates.

The company is fully remote within the United States and offers competitive executive-level compensation, equity, comprehensive benefits, flexible PTO, and meaningful investment in professional development.

Job Details

What You'll Do

• Lead multiple engineering teams and provide leadership and mentorship to Engineering Managers, Staff/Principal Engineers, and other senior technical talent.
• Partner directly with the VP of Engineering on engineering strategy, organizational structure, technical priorities, and long-term architecture.
• Help evolve the engineering organization toward AI-assisted and agentic software development, identifying where AI can meaningfully improve engineering velocity and effectiveness.
• Oversee complex, business-critical software initiatives from planning through production.
• Drive technical excellence across software architecture, cloud infrastructure, reliability, CI/CD, deployment, observability, and engineering operations.
• Work closely with Product, Operations, Security, and executive leadership to translate business priorities into executable technical initiatives.
• Establish clear engineering metrics around delivery, reliability, quality, and team performance.
• Improve engineering workflows and eliminate unnecessary friction across development and deployment.
• Build and develop engineering leadership while creating an environment where senior technical talent can operate with significant ownership.
• Identify technical and operational risks before they become customer-impacting issues.
• Help ensure the availability, scalability, and reliability of a growing enterprise SaaS platform.

What We're Looking For

The ideal candidate will have 10+ years of progressive software engineering experience, including at least 5 years leading engineering teams, with recent experience at the Director or Senior Engineering Manager level.

You should have experience leading multiple teams or engineering managers, rather than managing a single development team.

A strong technical foundation in software engineering and distributed systems is important, along with meaningful exposure to areas such as:

• Cloud-native architecture
• AWS or comparable public cloud environments
• Distributed systems and microservices
• Kubernetes and containerized environments
• DevOps and Site Reliability Engineering
• CI/CD and modern software delivery
• Observability and production reliability
• High-availability SaaS platforms
• AI-assisted software engineering and/or agentic development

Experience within cybersecurity, AI/ML infrastructure, developer tools, cloud infrastructure, data platforms, or another technically sophisticated B2B SaaS environment would be particularly relevant.

Most importantly, we're looking for an engineering leader who can operate comfortably in a high-growth environment where priorities move quickly. You should be capable of moving between organizational leadership, architecture discussions, customer-impacting technical issues, and executive-level strategy without losing sight of execution.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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