Tech Lead Manager - Product Engineering (Identity Security)

Abnormal AI

$187K — $269K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software engineering experience
  • Proven track record of shipping products in fast-moving environments
  • High-level coding proficiency in Python/Go
  • Experience in hiring and developing engineering talent
  • Must be located in the Bay Area due to in-office presence requirements

Responsibilities

  • Write and review code daily in a team of 8-10 engineers
  • Collaborate on technical direction to build a scalable product foundation
  • Gather feedback from internal and external customers for rapid iteration
  • Expand team and product scope as traction grows
  • Establish engineering standards that will support team growth

Benefits

  • Opportunity to work with a veteran team experienced in building machine learning platforms
  • Engagement with Fortune 500 clients
  • Potential for equity and incentive compensation
  • Comprehensive benefits package
  • Involvement in a critical product line for the company's future
Full Job Description
Tech Lead Manager - Identity Security

The Identity Security team is looking for a Tech Lead Manager to build and lead this critical product area. You'll start hands-on with a small team, shipping code while growing the product toward market fit.
What You'll Do
  • 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
This Role Is a Fit If You
  • 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
This Role Is Not a Fit If You
  • 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
Requirements
  • 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
Preferred
  • Experience building enterprise/B2B security products
  • Familiarity with machine learning systems or ML-adjacent infrastructure
  • Exposure to AWS, Kafka, containerized services, microservices
Growth Paths
  • Expand scope as Identity Security grows, taking on additional product lines
  • Build out a larger team as we scale beyond initial product-market fit
  • Position yourself for senior leadership as the org matures
What We Offer

The opportunity to join a veteran team that has built enduring ML platforms at Google, Twitter, Pinterest, Amazon, Microsoft, and Expanse. Our customer base includes multiple Fortune 500 companies, and Identity Security is a critical bet for Abnormal's future.

#LI-NT1

Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

Base salary range:

$187,400-$269,500 USD

A note on AI in our process:Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.

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