技术项目经理 AI与数据系统
Technical Program Manager - AI & Data Systems
职位描述
Abnormal AI 正在招聘一名技术项目经理，负责领导我们 AI 平台和数据系统团队的高影响力项目交付。你将从 CIO 高层领导处接手战略举措——涵盖 AI 治理、AI 代理的数据基础、AI 结果分析以及新的代理和平台发布——并将其转化为结构化、可跟踪的项目。你将定义现有流程中缺失的部分，推动有价值的结果，并保持高管利益相关者的同步与前瞻性。该职位位于工程执行与领导层可见性之间，需要一位能在模糊环境中茁壮成长、通过执行力建立可信度，并本能地利用 AI 解决实际交付挑战的人。
你是什么样的人
- 有经验的项目经理，能够在目标明确但路径不清晰的情况下主动作为，并围绕它建立结构：里程碑、负责人、风险以及清晰的交付路线。
- 被高风险、高可见度的工作所激励——你希望你的项目有意义，并且当它们没有达到预期时，你会自我问责。
- 行动导向且注重进展——你不会等待完美的清晰度才开始构建结构或推动结果。
- 在与 C 级高管的会议室和与工程团队负责人深入讨论时同样自如——你能调整沟通方式而不失精准。
- 积极主动的问题解决者，在问题升级之前就识别出障碍和风险。
- 在高度技术环境中领导过项目和项目集的经验——你能够从工程深度分析中提取交付信号，将技术决策与项目风险联系起来，并在关键时刻对排期提出异议。
- 对可见性有纪律要求：利益相关者始终了解事情的进展，你的项目不会出现意外。
- 可信赖的合作伙伴，通过执行力建立信任——你建立的关系让跨职能协作变得轻松。
- 在模糊环境中冷静而有效——你在没有结构的地方创造结构，并在优先级变化时适应。
- 能够使用 AI 解决问题并优化工作流程——对自己和团队都如此，并积极寻找新的方法来应用 AI。
你将做什么
- 负责高影响力 AI 平台和数据系统项目的交付，从启动到完成——包括范围定义、里程碑规划、依赖关系和升级管理，以及利益相关者对齐。
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About the Role
Abnormal AI is hiring a Technical Program Manager to lead delivery of high-impact programs across our AI Platform and Data Systems teams. You'll own strategic initiatives from CIO leadership — spanning AI governance, the data foundation for AI agents, AI outcomes analytics, and new agent and platform rollouts — and turn them into structured, well-tracked programs. You'll define processes where none exists, drive valuable outcomes, and keep executive stakeholders aligned and ahead of surprises. This role sits at the intersection of engineering execution and leadership visibility, requiring someone who thrives in ambiguity, earns credibility through follow-through, and instinctively reaches for AI to solve real delivery challenges.
Who you are
- An experienced Program Manager who takes initiative where the goal is set but the path isn't — and builds the structure around it: milestones, owners, risks, and a clear route to delivery.
- Energized by high-stakes, high-visibility work — you want your programs to matter, and you hold yourself accountable when they don't.
- Action-biased and momentum-driven — you don't wait for perfect clarity to begin building structure or driving toward an outcome.
- Equally comfortable in a room with a C-level executive and in the weeds with an engineering team lead — you adjust your communication without losing precision.
- A proactive problem-solver who surfaces blockers and risks before they become escalations.
- Experienced leading projects and programs in highly technical environments — you extract delivery signal from engineering deep-dives, connect technical decisions to program risk, and push back on sequencing when it matters.
- Disciplined about visibility: stakeholders always know where things stand, and surprises don't happen on your programs.
- A trusted partner who earns credibility through follow-through — you build relationships that make cross-functional coordination feel easy.
- Calm and effective in ambiguity — you create structure where none exists and adapt when priorities shift.
- Comfortable using AI to solve problems and streamline workflows — for yourself and your team — and actively looking for new ways to put it to work.
What you will do
- Own program delivery for high-impact AI Platform and Data Systems initiatives, from initiation through completion — including scope definition, milestone planning, dependency and escalation management, and stakeholder alignment.
- Translate ambiguous mandates from IT leadership into structured, trackable programs with clear owners and success criteria.
- Serve as the coordination layer for high-impact, cross-functional programs — working in lockstep with engineering leaders and teams, ensuring dependencies are visible and delivery stays on track.
- Maintain executive-ready status reporting for AI Data Systems leadership and C-level stakeholders, ensuring no surprises and consistent confidence in program and portfolio health.
- Identify, escalate, and mitigate risks across programs before they impact delivery timelines or stakeholder trust.
- Partner with technical team-leads to understand delivery capacity, technical dependencies, and sequencing trade-offs.
- Use AI tools in your own program execution — and build lightweight workflows, skills, or automations that make status reporting, risk tracking, and stakeholder updates faster and more reliable.
- Support roadmap planning and resource forecasting at the program and portfolio level.
- Drive retrospectives and continuous improvement practices, and contribute to building a high-performing, AI-native program management function within the CIO organization.
Must Haves
- 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
Nice to Haves
- 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.
Base salary range:
$110,900—$159,500 USD
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.