Abnormal Security Logo

Abnormal Security

AI Transformation Product Manager

Reposted 19 Days Ago
Remote
Hiring Remotely in USA
128K-150K Annually
Mid level
Remote
Hiring Remotely in USA
128K-150K Annually
Mid level
You will lead the AI transformation pod, identify AI opportunities, collaborate with stakeholders, and manage product development from conception to deployment.
The summary above was generated by AI
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 
  • Own a dedicated “AI transformation pod”, partnering with a specific go-to-market function
  • Identify high-impact opportunities for AI transformation
  • Collaborate with go-to-market stakeholders and business leaders to validate AI Transformation ideas
  • Define product requirements and roadmaps for AI-native solutions
  • Leverage AI-enabled developer tools (Cursor, Claude Code, etc) to rapidly develop and iterate on solutions for users across Abnormal.
  • Manage the full product lifecycle from conception to deployment
  • Measure and report on impact of deployed solutions
  • Present pod updates to executive leadership and evangelize new initiatives directly to potential users
  • 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 
  • Technical degree (Computer Science, Engineering, Mathematics, Physics, etc.) 
  • Coursework in AI/ML, product development, or entrepreneurship
  • Product management experience with demonstrable AI product expertise
  • Prior work experience in Software Engineering
  • Strong understanding of LLMs, agents, and modern AI capabilities
  • Experience leading cross-functional teams
  • Exceptional stakeholder management skills at the executive level
  • Ability to translate complex operational problems into AI-powered solutions
  • Track record of measuring and communicating business impact to stakeholders
  • Comfort presenting to and engaging with C-suite executives and board members
  • Proficient in at least one programming language (Python preferred)
  • Experience with AI tools (Cursor, v0, Claude Code, etc.)
  • GitHub profile or portfolio showing self-initiated projects
Nice to Have 
  • Prior work experience at an enterprise software company is nice to have
  • Internships at tech companies (especially startups)
  • Research assistant positions in AI/ML labs
  • Hackathon participation and awards
  • Product-focused roles or projects
  • Open source contributions

#LI-ML1

#LI-ML1

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.

Top Skills

AI
Claude Code
Cursor
Git
Ml
Python

Similar Jobs

An Hour Ago
Remote
USA
Senior level
Senior level
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.
Top Skills: AWSAzureBigQueryDataflowDockerGCPGkeKubeflowKubernetesPythonPyTorchScikit-LearnTensorFlowVertex Ai
An Hour Ago
In-Office or Remote
Seattle, WA, USA
184K-295K Annually
Senior level
184K-295K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Responsible for driving strategic programs, managing scope and resources, fostering communication among teams, and executing complex transformations.
Top Skills: CloudProgram ManagementSoftware EngineeringTechnical Programs
3 Hours Ago
Easy Apply
Remote
2 Locations
Easy Apply
100K-138K Annually
Senior level
100K-138K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
As a Senior Dealer Success Manager, you'll drive growth for dealership partners in auto finance, delivering exceptional service and onboarding while providing strategic consultation and market insights.
Top Skills: Data DashboardsSalesforce

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account