Technical Program Manager - AI & Data Systems

3-4 years of program or project management experience leading complex, cross-functional technical initiatives — ideally in a high-growth SaaS or enterprise tech environment.

Demonstrated ability to take an early-stage idea — where the goal is clear but the path isn't — and build it into structured delivery with measurable outcomes.

Proven ability to move fast and drive velocity — keeping programs progressing through ambiguity and unknowns.

Track record of managing executive-level stakeholder relationships, including C-level communication, with poise and precision.

Strong experience working alongside technical team leads in AI, engineering, data, or platform contexts — you can follow the technical conversation, ask the right questions, and push back when sequencing or assumptions need challenging.

Familiarity with AI tools and an automation instinct — you naturally ask "how can I use AI to do this?" and have applied it to improve how you work, whether personally or professionally.

Excellent command of project tracking and program management tools (Linear, Jira, ServiceNow, Asana, or equivalent).

Exceptional communicator across technical and non-technical audiences — written updates, verbal alignment, and executive readouts are all in your wheelhouse.

Demonstrated ability to drive accountability and alignment across teams without formal authority.

Bachelor's degree in Computer Engineering, Information Technology, Business Administration, Information Security or a related field

Hands-on experience using agentic AI tools (Claude Code, Codex, Cowork, or similar) to build skills, automations, or multi-step workflows — not just to use AI passively.

Familiarity with AI/ML platform delivery, data engineering workflows, data warehousing, or MLOps practices.

PMP, CSM, or SAFe certification.

Experience at a high-growth cybersecurity or SaaS company.

Experience in a remote-first, distributed team environment.

Exposure to cloud infrastructure (AWS, GCP, or Azure) and how it intersects with data and AI platform programs.

Experience with Agile/Scrum ceremonies and sprint-level delivery in addition to program-level ownership.

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Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.

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.