Manager of AI Product Operations

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  • Company Abnormal
  • Employment Full-time
  • Location 🇺🇸 United States nationwide
  • Submitted Posted 3 months ago - Updated 19 hours ago
<h2><span style="font-family: helvetica, arial, sans-serif;"><strong>About the Role</strong></span></h2><p data-start="534" data-end="779">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.</p><p data-start="781" data-end="1107">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.</p><h2><span style="font-family: helvetica, arial, sans-serif;"><strong>What you will do</strong></span></h2><p data-start="1134" data-end="1194"><strong data-start="1134" data-end="1194">Streamline How AI-Native Products Are Built and Launched</strong></p><ul><li data-start="1197" data-end="1270">Own the end-to-end product development process for all market initiatives</li><li data-start="1273" data-end="1335">Set and manage product release standards and execution rhythms</li><li data-start="1338" data-end="1410">Lead high-leverage rituals including product reviews and launch meetings</li></ul><p data-start="1412" data-end="1457"><strong data-start="1412" data-end="1457">Make Product Decisions Smarter and Faster</strong></p><ul><li data-start="1460" data-end="1508">Define product performance KPIs across key areas</li><li data-start="1511" data-end="1590">Build dashboards that surface usage, customer feedback, and operational signals</li><li data-start="1593" data-end="1661">Provide clear visibility into progress, blockers, and technical risk</li></ul><p data-start="1663" data-end="1702"><strong data-start="1663" data-end="1702">Operate with Velocity and Precision</strong></p><ul><li data-start="1705" data-end="1773">Codify AI-native product operations practices into a living playbook</li><li data-start="1776" data-end="1845">Own the Request for Enhancement process—from triage to follow-through</li><li data-start="1848" data-end="1918">Accelerate support automation efforts using AI to reduce manual effort</li></ul><p data-start="1920" data-end="1975"><strong data-start="1920" data-end="1975">Align Product, Support, and GTM Around What Matters</strong></p><ul><li data-start="1978" data-end="2048">Act as the connective tissue between customer-facing teams and product</li><li data-start="2051" data-end="2117">Own internal enablement on product changes—clarity is your default</li><li data-start="2120" data-end="2213">Drive adoption by making sure the right teams understand the right features at the right time</li></ul><h2><span style="font-family: helvetica, arial, sans-serif;"><strong>Must Haves</strong></span></h2><ul><li data-start="2258" data-end="2322">5+ years in product operations or technical program management</li><li data-start="2325" data-end="2391">Experience working with AI-native product teams—or building them</li><li data-start="2394" data-end="2450">1–2 years leading high-leverage ops or analytics teams</li><li data-start="2453" data-end="2533">Data fluency and structured thinking across metrics, dashboards, and reporting</li><li data-start="2536" data-end="2610">Deep comfort collaborating across product, engineering, support, and GTM</li><li data-start="2613" data-end="2715">Proficiency with tools like Jira, Confluence, Salesforce, Gainsight, and product analytics platforms</li><li data-start="2718" data-end="2776">A mindset for learning, simplifying, and owning outcomes</li></ul><h2><span style="font-family: helvetica, arial, sans-serif;"><strong>Nice to Have</strong></span></h2><ul><li data-start="2803" data-end="2861">Experience in cybersecurity or enterprise email security</li><li data-start="2864" data-end="2943">Familiarity with behavioral AI systems, or AI-powered customer support models</li></ul><p>&nbsp;</p><p>#LI-PP1</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><hr><p><br>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. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our <span style="text-decoration: underline; font-size: 16px;"><a href="https://careers.abnormalsecurity.com/benefits-perks">Benefits &amp; Perks</a></span> page.</p></div><div class="title">Base pay range:</div><div class="pay-range"><span>$172,100</span><span class="divider">&mdash;</span><span>$202,500 USD</span></div></div><div class="pay-input"><div class="title">San Francisco/New York Base pay range:</div><div class="pay-range"><span>$191,300</span><span class="divider">&mdash;</span><span>$225,000 USD</span></div></div></div><div class="content-conclusion"><p><br>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&nbsp;<a href="https://abnormal.ai/aap-eeoc-statement" target="_blank"><span style="text-decoration: underline;"><em>click here</em></span></a>. If you would like more information on your EEO rights under the law, please&nbsp;<em><span style="text-decoration: underline;"><a href="https://abnormal.ai/eeoc-poster" target="_blank">click here</a></span></em>.</p></div>

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