Engineering Manager, AI Workflows — Lead & Build with AI

Semgrep; United States; Hybrid; USD 197,000 - 288,000; Full time

Job summary

Semgrep is seeking an engineering manager to lead a 3–5 person team within the Workflows initiative, blending traditional code security tooling with AI-enabled approaches. The role focuses on coaching, architectural leadership, and delivering impactful features.

You will guide strategic roadmaps, mentor engineers, and contribute technically on challenging problems like SDK design, data workflows, and applying AI to cybersecurity.

Qualifications

• 3+ years of experience leading software engineering teams.
• Familiarity with agile development principles and iterative milestone development.
• A strong desire to help engineers and other leaders grow through coaching and mentorship.
• Ideally, expertise in two of: Public SDK or API design and support; Data workflow orchestration; Applying AI to cybersecurity problems.

Responsibilities

• Working with your team, product management, and engineering leadership to craft your team’s strategic direction and a strong quarter over quarter roadmap to execute on it.
• Defining goals within a team meeting to ensure your team is executing on their short term goals week over week while providing them the vision for the future of the product.
• Coaching a senior engineer, helping them gain the skills needed to lead and mentor other engineers through increasingly difficult projects.
• Making direct technical contributions to help deliver new features and gain a strong understanding of the work your team is doing.

Skills

Leadership

Agile

Mentorship

Coaching engineers

SDK design

Data workflow orchestration

AI in cybersecurity

Job description

Semgrep is seeking an engineering manager to lead a 3–5 person team within the Workflows initiative, blending traditional code security tooling with AI-enabled approaches. The role focuses on coaching, architectural leadership, and delivering impactful features.

You will guide strategic roadmaps, mentor engineers, and contribute technically on challenging problems like SDK design, data workflows, and applying AI to cybersecurity.