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Tech Lead Manager - Product Engineering (Identity Security)

Location
Hybrid - San Francisco, CA, USA
Compensation
$179.8k–$258.5k/yr
Level
senior
Type
full time · Hybrid

Posted by employer 4 months ago

First seen on Joblaze 4 months ago

Last verified on the company career page 8 hours ago

Requirements

Experience
5+ years

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options

Joblaze summary

In this role, the Senior Software Engineer will work closely with a small team to develop and refine a platform aimed at securing identities across cloud and AI environments. Proficiency in Python or Go, along with experience in fast-paced product development, is essential for success. This position is ideal for someone with a strong background in software engineering who thrives in ambiguous settings and enjoys a high level of ownership. The team is focused on building a scalable product that addresses the complexities of modern identity management.

Joblaze insights

  • Listed about 4 months ago — first seen on Joblaze May 14, 2026. Last confirmed on Abnormal Security's careers page October 10, 2026.
  • Salary band is in line with the typical range for Security roles (median ~$170,000).
  • Starts above 54% of 102 comparable senior security roles in United States that list Python we track (median $172,200 across 43 companies). See Python salary trends
  • Python appears in 40.2% of 331 comparable senior security roles in United States; Microservices appears in 0.3% of 331 comparable senior security roles in United States.

Quick facts

Is the Tech Lead Manager - Product Engineering (Identity Security) role remote?
It's hybrid — Abnormal Security expects some on-site time in Hybrid - San Francisco, CA, USA.
What's the salary range?
Abnormal Security lists $179,800–$258,500 for this role.
How much experience is required?
At least 5 years of relevant experience for this Tech Lead Manager - Product Engineering (Identity Security) role.
Where is the role based?
Abnormal Security is hiring for this position in Hybrid - San Francisco, CA, USA.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Go, Kafka, Microservices, Python.
What seniority level is this role?
Abnormal Security targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Tech Lead Manager - Product Engineering (Identity Security) role at Abnormal Security.

From the original posting

Tech Lead Manager - Identity Security

Enterprises are undergoing two simultaneous transformations: moving critical infrastructure to the cloud and adopting AI agents at scale. Both create an identity explosion—humans, service accounts, and AI agents now outnumber traditional users 10-to-1, each with permissions that legacy tools can't govern. Abnormal's Identity Security team is building the platform to secure this new reality: unified visibility across all identity types, behavioral intelligence that understands what's normal, and AI-native automation that operates at cloud speed. We're extending the same behavioral approach that made Abnormal the leader in email security to protect identities across cloud infrastructure and AI systems.

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.

Standard company text repeated across Abnormal Security's postings is omitted here.

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