About the Role

The AI Transformation team at Abnormal owns how the company redesigns work around AI: mapping every business function for AI opportunity, running structured workstreams across Sales, CS, Support, Marketing, Finance, HR, Legal, and Engineering, and standing up the operating model that ties stakeholders, prioritization, and delivery together.

The Transformation Strategy Manager is the day-to-day operator inside that team. You are the connective tissue between the vision for AI-redesigned processes and the AI PMs, AI engineers, and business leaders who build and adopt them. You will translate ambiguous transformation bets into concrete requirements, run the cross-functional cadence to ship them, and own the analytics that prove whether they worked.

This role sits inside the People and Transformation org reporting to the Director of AI Transformation in the Chief Transformation Officer’s organization (with a dotted line into the People team). The lens is both functional (what gets built) and future-of-work (how Abnormal operates differently as a result).

What You Will Do

• Be the day-to-day lead translating transformation vision into shippable requirements for AI PMs and engineers, then driving cross-functional execution to ship
• Build and maintain the enterprise capability map: the system of record for who owns what, how it's done today, and where AI fits
• Run the transformation intake, prioritization, and operating cadence that keeps the highest-value initiatives sequenced, resourced, and moving across functions
• Define solution paths for each prioritized transformation, including what humans do, what AI does, what systems do, and the rationale behind the call
• Own the measurement layer for transformation: ROI analysis, business value assessment, metric trees, instrumentation, and the analytics surface the executive team uses to assess progress
• Drive role redesign, change management, and adoption with People COEs and functional leaders so transformations actually land in how people work
• Lead company-wide AI initiatives end-to-end, from problem framing through rollout, that drive step-change improvements crossing three or more functions

AI Forward Hiring

This role only exists because AI is changing how work gets done at Abnormal. You should be a daily power user of frontier AI tools, comfortable building your own light-weight prototypes (Cowork skills, agents, scripts, or no-code stacks) to solve your own workflow problems, and able to talk concretely about projects where you have already redesigned how something works using AI. The case study and the presentation are explicitly designed to test this. Show us what you have built, not what you have read about.

Must Haves

• Five or more years in investment banking or top-tier management consulting, with a track record of moving fast on ambiguous, high-stakes problems.
• Demonstrated first-principles thinking: you can take a vague brief, reframe it, and build the case for what to do in a way that holds up to scrutiny from sharp executives.
• Strong quantitative and analytical chops, including comfort building a metric tree from scratch, pulling and structuring data, modeling scenarios, and presenting the result without a layer of analyst help between you and the spreadsheet.
• Hands-on AI fluency: you use frontier AI tools every day for real work, you have built or rebuilt at least one process around AI yourself, and you can speak credibly about where current AI is genuinely useful versus where it falls over.
• Cross-functional operator instincts: you have run multi-stakeholder initiatives where you had no formal authority over any of the people whose work you needed, and you can describe specifically how you got alignment, made tradeoffs, and shipped.
• Exceptional written and verbal communication: you can write the one-pager, build the deck, and stand in front of a leadership team to defend the recommendation.
• Bias for action and high tolerance for ambiguity, with comfort starting on a whiteboard and ending with a shipped change three weeks later.

Nice to Have

• Technical degree in CS, engineering, math, physics, or another quantitative field.
• Direct experience redesigning a workflow around AI, even at the individual or team level rather than the company level. We care about the building, not the scale.
• Prior exposure to a fast-growing technology company, ideally in security, infrastructure, or enterprise SaaS.
• Experience with the operating mechanics of a transformation, change management, or strategy office, including governance, prioritization frameworks, and executive reporting.
• MBA is not required and is not weighted positively or negatively.

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