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Transformation Strategy Manager

Abnormal

LocationUnited States
SeniorityOpen seniority
CompanyAbnormal
Verified recentlyChecked today
Compensation

$149k-$215k

Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.

Requirements and working style

Decision details from the source listing

Education

Master degree

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Role lane

Data, DevOps, Finance and investments, HR and recruiting, Legal, Marketing, Operations, Sales, Security, Software, Customer support

Where you can work

United States

Working hours

Timezone overlap is not stated.

Arrangement

full_time

Confirm before applying
  • Required timezone overlap is not stated
  • Seniority is not stated
Market context

Data hiring on WFH.team

5,877active related roles
3,263new in the latest period
255.5jobs per 100 candidates
$178kmedian of comparable listed ranges

This role's listed pay is near the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.

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Skills and signals
ContentDataGoInfrastructureMarketingSaasSecuritySupportRemote - USA
Job description

Transformation Strategy Manager at Abnormal

About the role

The AI Transformation Office 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 office. 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.

#LI-MC2

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

$149,200 — $214,500 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 .

Company context

Working remotely at Abnormal

Abnormal is hiring for 2 active remote roles, with remote-friendly openings, application links, and job details refreshed from the public remote job inventory.

Headquarters
United States
Team size
501-1000
Founded
2018
Remote policy

Remote hiring signal is inferred from active confirmed-remote job listings.

Application process

Review current openings on Abnormal Security's official careers page before applying.

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