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# Tech Lead Manager - Product Engineering (Identity Security)

- **Company:** Abnormal AI, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Code Review, Identity and Access Management, Python (Programming Language), Software Engineering, Apache Kafka, Machine Learning Operations, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_5ac25f89b3260ccddee80fd0ce6ac16e

## About the Role

* Want to be deeply technical while building leadership skills-you're excited to code, not just manage
 * Thrive in ambiguity and can guide a small team through uncertainty toward product-market fit
 * Have strong instincts for what customers need and how to translate that into product decisions
 * Enjoy the founding-team dynamic: small group, high ownership, fast iteration, * Prefer managing established teams with well-defined roadmaps
 * Want to step back from hands-on technical work
 * Are uncomfortable with the ambiguity of an early-stage product still finding its footing, * 5+ years of software engineering experience with 1+ year in a tech lead or engineering management role
 * Track record of shipping products in fast-moving environments
 * Ability to read, write, and review code at a high level (Python/Go preferred)
 * Experience hiring and developing engineers
 * Bay Area location required- we operate with 25% in-office presence, * Experience building enterprise/B2B security products
 * Familiarity with machine learning systems or ML-adjacent infrastructure
 * Exposure to AWS, Kafka, containerized services, microservices

## Description

* Lead a team of 6-8 engineers, writing and reviewing code daily alongside them
 * Collaborate closely on technical direction while building the foundations for a scalable product
 * Partner directly with internal and external customers to gather feedback and iterate quickly
 * Grow the team and product as we find traction and expand scope
 * Set engineering standards and practices that will scale as the team grows