Abnormal Security is hiring an IT Project Manager to support our AI Platform team. You’ll help drive delivery of impactful AI capabilities by managing multiple concurrent projects in an agile framework. This role offers a unique opportunity to orchestrate collaboration across ML, infrastructure, and product teams. Your leadership will enable fast, reliable feature development at scale, directly impacting the protection we deliver to our customers.
Who you areYou are confident in leading Agile and Scrum ceremonies, and excel at facilitating collaboration across technical teams. Highly organized and driven by curiosity, you consistently improve project visibility and accountability. You’re comfortable working in deeply technical environments and have a solid knowledge of machine learning, data engineering, or AI concepts. As an excellent communicator, you keep stakeholders informed and aligned across both technical and business units. You thrive in ambiguity, you take ownership, and you deliver impactful results quickly. You’re passionate about process excellence, continuous improvement, and creating clarity and structure where it doesn’t yet exist. You value inclusivity, clear communication, and bring a customer-obsessed, intellectually honest mindset to everything you do.
What you will do- Drive AI Platform projects from conception to delivery in an Agile environment.
- Maintain sprint plans, coordinate team ceremonies, and ensure accurate story estimation and backlog hygiene.
- Define and track KPIs to measure project delivery performance and stakeholder satisfaction.
- Build and maintain relationships with Engineering, Data Science, and Product partners.
- Implement tooling for project tracking, communication, and reporting.
- Facilitate retrospectives and continuous improvement loops.
- Report regularly to leadership with progress, blockers, and mitigation strategies.
- Support roadmap planning and team resource forecasting.
- 4–6 years of project management experience in technology environments, primarily utilizing Agile delivery.
- Proven experience working with or supporting AI/ML or Data Engineering teams.
- Solid command of ServiceNow, Jira and/or similar Agile project management tools.
- Track record of delivering high-impact software or platform features.
- Effective communicator and facilitator across highly technical and non-technical audiences.
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Demonstrated ability to drive change and process improvements in ambiguous environments.
- Experience working with distributed or remote-first teams.
- PMP, CSM, or SAFe certification.
- Experience with MLOps workflows or AI/ML deployment practices.
- Experience at a high-growth startup or SaaS company.
- Exposure to cloud platforms like AWS, GCP, or Azure.
- Background in data product or AI feature lifecycle management.
- Experience managing processes/projects in ServiceNow SPM / PPM
#LI-MA1
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 Benefits & Perks page.
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
Similar Jobs
What you need to know about the Colorado Tech Scene
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
