Manager of AI Product Operations

Reposted 2 Days Ago
Hiring Remotely in USA
Remote
172K-203K Annually
Senior level
Security • Cybersecurity
The Role
Lead the product operations for AI-native security products by managing development processes, defining KPIs, and coordinating between teams for optimal product performance.
Summary Generated by Built In
About the Role

Abnormal AI is where you'll do the most exciting work of your career—because it's where the future of cybersecurity is being built. We're AI-native by design, not by retrofit. And we're looking for someone who wants to lead from that foundation.

This role is for someone who thrives at the intersection of product development, data, and go-to-market execution. You'll help scale how we build, release, and operate AI-native security products that protect thousands of companies and millions of people from evolving attacks. The work is fast, high-trust, and impact-driven.

What you will do

Streamline How AI-Native Products Are Built and Launched

  • Own the end-to-end product development process for all market initiatives
  • Set and manage product release standards and execution rhythms
  • Lead high-leverage rituals including product reviews and launch meetings

Make Product Decisions Smarter and Faster

  • Define product performance KPIs across key areas
  • Build dashboards that surface usage, customer feedback, and operational signals
  • Provide clear visibility into progress, blockers, and technical risk

Operate with Velocity and Precision

  • Codify AI-native product operations practices into a living playbook
  • Own the Request for Enhancement process—from triage to follow-through
  • Accelerate support automation efforts using AI to reduce manual effort

Align Product, Support, and GTM Around What Matters

  • Act as the connective tissue between customer-facing teams and product
  • Own internal enablement on product changes—clarity is your default
  • Drive adoption by making sure the right teams understand the right features at the right time
Must Haves
  • 5+ years in product operations or technical program management
  • Experience working with AI-native product teams—or building them
  • 1–2 years leading high-leverage ops or analytics teams
  • Data fluency and structured thinking across metrics, dashboards, and reporting
  • Deep comfort collaborating across product, engineering, support, and GTM
  • Proficiency with tools like Jira, Confluence, Salesforce, Gainsight, and product analytics platforms
  • A mindset for learning, simplifying, and owning outcomes
Nice to Have
  • Experience in cybersecurity or enterprise email security
  • Familiarity with behavioral AI systems, or AI-powered customer support models

#LI-PP1

At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. 

Base salary range:
$172,100$202,500 USD

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

Top Skills

Confluence
Gainsight
JIRA
Product Analytics Platforms
Salesforce
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The Company
San Francisco, CA
175 Employees
Year Founded: 2018

What We Do

The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.

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