채용
Benefits & Perks
•Learning and development stipend
•Remote work flexibility
•Health, dental, and vision coverage
•Flexible PTO policy
Required Skills
SQL
PyTorch
Python
About the Role
Abnormal AI is revolutionizing both cybersecurity and internal operations through advanced AI solutions. As we scale, we're establishing AI Transformation Pods to drive operational efficiency across our organization. These pods are critical to the company's overall AI strategy, offering unique visibility with the CEO and executive leadership
The AI-Native PM leads the development of internal AI solutions, identifying opportunities for automation and efficiency across Abnormal Security. This role requires a blend of product thinking, technical understanding of AI capabilities, and entrepreneurial drive. You'll work closely with functional executives to identify high-value opportunities and build AI solutions that drive meaningful operational change.
What you will do
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Own a dedicated “AI transformation pod”, partnering with a specific go-to-market function
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Identify high-impact opportunities for AI transformation
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Collaborate with go-to-market stakeholders and business leaders to validate AI Transformation ideas
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Define product requirements and roadmaps for AI-native solutions
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Leverage AI-enabled developer tools (Cursor, Claude Code, etc) to rapidly develop and iterate on solutions for users across Abnormal.
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Manage the full product lifecycle from conception to deployment
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Measure and report on impact of deployed solutions
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Present pod updates to executive leadership and evangelize new initiatives directly to potential users
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Identify and scope high leverage opportunities for the AI Platform Engineering team to build reusable infrastructure that can benefit the AI Transformation pods.
Must Haves
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Technical degree (Computer Science, Engineering, Mathematics, Physics, etc.)
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Coursework in AI/ML, product development, or entrepreneurship
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Product management experience with demonstrable AI product expertise
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Prior work experience in Software Engineering
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Strong understanding of LLMs, agents, and modern AI capabilities
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Experience leading cross-functional teams
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Exceptional stakeholder management skills at the executive level
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Ability to translate complex operational problems into AI-powered solutions
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Track record of measuring and communicating business impact to stakeholders
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Comfort presenting to and engaging with C-suite executives and board members
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Proficient in at least one programming language (Python preferred)
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Experience with AI tools (Cursor, v0, Claude Code, etc.)
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GitHub profile or portfolio showing self-initiated projects
Nice to Have
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Prior work experience at an enterprise software company is nice to have
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Internships at tech companies (especially startups)
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Research assistant positions in AI/ML labs
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Hackathon participation and awards
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Product-focused roles or projects
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Open source contributions
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:
$127,500—$150,000 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.
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About Abnormal Security

Abnormal Security
Series BSoftware company.
201-500
Employees
Miami
Headquarters
$4B
Valuation
Reviews
4.2
16 reviews
Work Life Balance
4.0
Compensation
4.5
Culture
4.3
Career
4.5
Management
3.7
87%
Recommend to a Friend
Pros
Competitive compensation packages with equity
Strong engineering culture with focus on code quality
Flexible remote work options and good work-life balance
Cons
Some legacy systems that need modernization
Internal politics in some teams
Organizational changes and restructuring can be disruptive
Salary Ranges
64 data points
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Associate Product Manager
3 reports
$84,486
total / year
Base
$73,466
Stock
-
Bonus
-
$84,486
$90,250
Interview Experience
1 interviews
Difficulty
1.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience