New opportunity

Applied AI Transformation Manager - APAC

Cognition · Singapore

About this role

Cognition is hiring an Applied AI Transformation Manager to help strategic enterprise customers realize measurable value from its AI software-agent platform, including Devin. The role combines technical strategy, customer advisory work and program delivery across several strategic accounts. It is a full-time, on-site position in Singapore.

Responsibilities

Work with customer leaders to identify, quantify and report targets for productivity gains and financial impact from agentic AI.
Design operating and delivery models for enterprise-wide AI-agent programs, from upfront strategy through implementation and value tracking.
Manage program operations with the Cognition account team, giving customers and internal stakeholders visibility into playbook implementation, platform consumption and value metrics.
Build trusted relationships with senior and functional leaders, oversee onboarding and rollout to thousands of engineers, and establish centers of excellence supported by tailored enablement programs.

Requirements

Undergraduate education in computer science or electrical engineering, plus software-engineering internship or full-time work experience.
3–5 years at a Big Three strategy consulting firm, with experience in value targeting and realization, technology strategy, and building and expanding client relationships.
Strong analytical and technical program-management abilities, adaptability in fast-changing environments, and the ability to learn quickly.

Preferred background:

Ideally, 2+ years in a customer-facing startup role. Experience on complex enterprise teams, particularly sourcing and managing account growth, is advantageous. Previous work as a software engineer, solutions engineer, technical account manager or in another technical role, as well as founding a startup or joining a high-growth startup early, may also be beneficial.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

AI agentsAgentic AITechnology strategyStrategy consultingValue realizationTechnical program managementEnterprise transformationCustomer relationship managementSoftware engineeringAnalytical skillsCustomer enablement

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Quantify and report customer value
Work with customer leaders to set and report targets for productivity gains and financial impact, then track whether value is realized.
Design enterprise AI-agent programs
Build operating and delivery models that carry strategic opportunities through implementation and value tracking.
Run delivery across strategic accounts
Coordinate program operations with Cognition account teams and give customers and internal stakeholders visibility into playbook implementation, platform consumption and value metrics.
Earn trust through execution
Advise senior and functional leaders while maintaining customer relationships through reliable delivery; the role also calls for experience building and expanding client relationships.
Enable rollout at engineering scale
Oversee onboarding and deployment to thousands of engineers, and build centers of excellence supported by tailored enablement programs.

Likely challenges to think through

Distinguishing usage from financial impact
Preparation hypothesis: Platform consumption and productivity gains may not translate neatly into attributable financial value. Prepare a way to define baselines, distinguish adoption from outcomes and explain assumptions when reporting results.
Scaling without losing local relevance
Preparation hypothesis: A rollout to thousands of engineers may need a repeatable playbook while different teams need tailored support. Prepare to explain how an operating model, centers of excellence and enablement could balance consistency with adaptation.
Balancing strategy with delivery across accounts
Preparation hypothesis: Upfront advisory work and hands-on delivery across several accounts can compete for attention, especially in a fast-changing environment. Prepare a prioritization approach that keeps customer leaders and Cognition account teams informed without losing sight of value targets.

Practice your answers

Technical practice

How would you identify and prioritize AI-agent opportunities across a strategic customer’s engineering organization?

What to coverThe role identifies opportunities for customers to realize value from Cognition’s platform. Preparation suggestion: explain how you would compare candidate workflows by expected impact, feasibility, adoption effort and the evidence needed before committing to a program.

How would you set credible productivity and financial-impact targets with customer leadership?

What to coverThe posting calls for identifying, quantifying and reporting value targets. Preparation suggestion: describe a baseline, assumptions and a calculation that distinguishes time saved from financial impact, including how you would handle uncertainty.

How would you determine whether an AI-agent program actually realized its targeted value?

What to coverValue capture and tracking are explicit responsibilities. Preparation suggestion: distinguish targets from observed outcomes, explain what evidence you would collect over time and discuss other factors that could affect the results.

What operating and delivery model would you design for an enterprise-wide AI-agent program?

What to coverThe role explicitly designs operating and delivery models from upfront strategy through implementation. Preparation suggestion: outline decision ownership, coordination between customer teams and the account team, rollout stages and how value tracking informs changes to the model.

How would you run delivery across several strategic accounts without losing visibility into risks?

What to coverThe manager supports delivery across multiple accounts in close partnership with Cognition’s account team. Preparation suggestion: describe how you would track milestones, dependencies, owners and escalations while adapting to each customer’s priorities.

How would you report playbook implementation, platform consumption and value metrics to different stakeholders?

What to coverThe posting names all three types of visibility for customers and internal stakeholders. Preparation suggestion: explain what each measure can and cannot establish, and how you would tailor concise reporting for executives versus delivery teams.

How would you approach onboarding and rollout to thousands of engineers?

What to coverOverseeing onboarding and rollout at that scale is an explicit duty. Preparation suggestion: discuss phased deployment, ways to assess adoption, feedback channels and how you would respond if usage grew but useful outcomes did not.

How would you establish a center of excellence and tailor enablement to an account?

What to coverThe role builds centers of excellence and supports them with tailored enablement programs. Preparation suggestion: describe how you would identify customer owners, surface recurring needs and evaluate whether enablement helps teams use the program effectively.

How would you assess a proposed engineering task for use with a software agent when its fit is uncertain?

What to coverCognition describes its platform as end-to-end software agents, and the role calls for technical orientation and software-engineering experience. Preparation suggestion: discuss task boundaries, how an engineer would check the resulting work, and when to narrow or defer the use case rather than promise a result.

Behavioural practice

Tell me about a time you aligned senior and functional leaders around a measurable transformation goal.

What to coverThe role advises both groups and designs value targets. Preparation suggestion: use situation, action and result to show how you resolved different priorities, agreed on a measure and communicated the outcome.

Describe a time delivery fell short of a client’s expectations and you had to preserve trust.

What to coverCustomer trust through delivery is an explicit responsibility. Preparation suggestion: use situation, action and result to explain how you surfaced the issue, set realistic next steps and followed through.

Give an example of coordinating customer and internal teams through a complex program.

What to coverThe posting emphasizes customer-program operations in partnership with Cognition’s account team. Preparation suggestion: use situation, action and result to show how you clarified ownership, addressed a dependency and kept stakeholders informed.

Tell me about a time you changed your plan in a fast-moving, ambiguous environment.

What to coverThe requirements explicitly call for adaptability under ambiguity and change. Preparation suggestion: use situation, action and result to describe what changed, how you made a decision with incomplete information and what happened afterward.

Describe a time you learned a technical topic quickly enough to advise or support others.

What to coverThe posting calls for fast learning and a technically oriented advisory role. Preparation suggestion: use situation, action and result to explain how you checked your understanding, applied it to a real decision and recognized any limits to your expertise.

Sharpen your knowledge

Topics to prepare

Value targeting and realization
The role calls for productivity and financial-impact targets, value capture, and reporting. Revise the distinction between a target, measured usage, and realized value; sketch how each would be assessed for an enterprise AI-agent program.
Technology strategy for software agents
Cognition describes its platform as end-to-end software agents, including Devin, and requires technology-strategy experience. Practice explaining how to prioritize candidate software-engineering work for an agent program without assuming undocumented product capabilities.
Enterprise operating and delivery models
The posting explicitly calls for designing both models from upfront strategy through implementation. Revise decision ownership, account-team coordination, rollout stages, and value-tracking responsibilities by mapping them into a hypothetical program structure.
Adoption at engineering scale
The role oversees rollout to thousands of engineers and establishes centers of excellence with tailored enablement. Outline how a center of excellence could support onboarding and gather feedback; treat the outline as preparation, not Cognition’s prescribed model.
Strategic account relationships
The requirements emphasize building and expanding client relationships, while the role advises senior and functional leaders. Compare what each stakeholder would need to see to trust a program’s delivery and value claims.

Skills to revise

Build a value case
Using hypothetical inputs, calculate a productivity baseline, target improvement, and potential financial impact; state assumptions and what evidence would confirm realized value. This practices the posting’s quantification and reporting duties.
Present an executive recommendation
Rehearse a short briefing that recommends an initial AI-agent opportunity, explains its value target, and addresses uncertainty. This mirrors the role’s technology-strategy and senior-advisory work.
Run a program review
Draft a one-page hypothetical review covering playbook implementation, platform consumption, value metrics, decisions, and owners. The posting requires visibility for customers and the Cognition account team.
Plan rollout and enablement
Create a phased onboarding plan for a large engineering population, including audience-specific enablement and a way to identify deployment issues. This prepares for the stated rollout and center-of-excellence responsibilities.
Explain an engineering workflow
Walk through a software-development task from requirements to review, identifying where an AI agent might help and what an engineer would still need to verify. This is a suggested exercise for the technical advisory role and stated software-engineering experience requirement, not a claim about Devin’s specific features.

Your preparation checklist

Map your evidence to the role
Prepare a one-page evidence sheet covering the stated CS or EE undergraduate background, software-engineering experience, 3–5 years at a Big Three strategy consulting firm, value realization, technology strategy, and client relationship growth. Label startup experience separately as preferred.
Rehearse a transformation project walkthrough
Select a real, shareable example and explain the customer objective, your decisions, delivery responsibilities, measured results, and what you would change. Keep your own contribution distinct from the team's.
Practice quantifying AI-agent value
As a preparation exercise, draft a sample value model with a baseline, productivity target, financial-impact assumptions, measurement method, and reporting cadence. Mark illustrative figures as hypothetical.
Sketch an enterprise delivery model
Practice designing an operating model for an AI-agent program across several accounts: map decision owners, the Cognition account team's role, implementation milestones, risks, and visibility into consumption and value metrics.
Plan a large-scale enablement approach
Outline a hypothetical phased onboarding plan for thousands of engineers, including a center of excellence, tailored enablement, feedback channels, and measures of rollout progress. The posting names these responsibilities, not a prescribed method.
Prepare a senior-stakeholder conversation
Rehearse how you would align executive value targets with functional leaders' delivery needs, handle a changing priority, and maintain trust when results lag. Use a real example where available without inventing outcomes.
Bring focused questions for Cognition
Write questions about how strategic accounts set value baselines, divide delivery ownership with the account team, track platform consumption and financial impact, and support centers of excellence.

Availability last checked: 4 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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