Senior Engineering Manager, AI Workflows

Semgrep•San Francisco, CA

7d•$197,000 - $288,000•Hybrid

About The Position

Semgrep is building a system called Workflows that combines traditional code security scanning tools with LLMs in innovative ways to detect, validate, and even remediate security issues better than traditional tools or LLMs on their own. This system is fundamental to how Semgrep is going to succeed in an AI-native world. The workflows system consists of an SDK for composing operations (typically CLI tool calls and agent invocations) into workflows, an environment for periodically executing these workflows, and a set of pre-defined workflows that work out of the box. The workflows team owns all three of these areas (with assistance from our platform, infrastructure, and security research teams). We are looking for an engineering manager to lead a team of 3-5 engineers and make their own contributions as well.

Requirements

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

Nice To Haves

Expertise in Public SDK or API design and support
Expertise in Data workflow orchestration (e.g. Metaflow or Argo workflows)
Expertise in Applying AI to cybersecurity problems

Responsibilities

Lead a team of 3-5 engineers.
Make direct technical contributions to help deliver new features and gain a strong understanding of the work your team is doing.
Work 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.
Define 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.
Coach a senior engineer, helping them gain the skills needed to lead and mentor other engineers through increasingly difficult projects.