Abnormal Security Logo

Abnormal Security

AI Transformation Product Manager

Reposted 22 Hours 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

2 Minutes Ago
Remote or Hybrid
2 Locations
131K-219K Annually
Junior
131K-219K Annually
Junior
eCommerce • Information Technology • Retail • Industrial
Lead project management and community activities for technical governance. Facilitate events and initiatives to enhance engineering collaboration.
Top Skills: ConfluenceJIRAMS OfficeSlack
4 Minutes Ago
Remote or Hybrid
United States
125K-231K Annually
Senior level
125K-231K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Senior Solution Architects lead customer projects, educate stakeholders on SailPoint products, and deliver technical solutions while managing client and partner communications.
Top Skills: AdAngularAWSAzureBeanshellCassandraCSSGCPHTMLJavaJavaScriptLdapMongoDBMssqlMySQLNode.jsOraclePeoplesoftReactRedisSAPServicenowSpml/SoapSybaseUnixVueWindowsXML
9 Minutes Ago
Remote
2 Locations
Mid level
Mid level
Artificial Intelligence • Productivity • Software • Automation
The Sr. Revenue Enablement Specialist will design and lead onboarding programs, create scalable learning systems, and support enablement for GTM teams using automation and AI tools.
Top Skills: CodaGongHubspotSlackZapier

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account