New opportunity

Customer Success Manager, Enterprise, APAC

Harvey · Singapore

About this role

The Enterprise Customer Success Manager will serve as a strategic partner for enterprise clients across the Asia-Pacific region, focusing on the Singapore market. The role is responsible for driving deep product adoption, delivering measurable business outcomes, and managing the end-to-end post-sales experience for high-value accounts. Responsibilities include leading onboarding and implementation, executing success plans based on product usage data and customer health scores, and acting as a trusted advisor on Harvey's AI capabilities. The CSM will collaborate cross-functionally with Sales, Product, and Legal Engineering to influence the product roadmap and develop scalable regional playbooks. Required qualifications include 5+ years of experience in customer success, account management, or strategic consulting within enterprise SaaS or technology environments, along with demonstrated ability to manage complex accounts and senior stakeholders. Strong analytical skills and excellent executive presence are essential. Experience with legal industry clients, professional services, or AI/LLM products is highly preferred. The candidate must be based in or willing to relocate to Singapore, with the ability to travel within the APAC region as needed.

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

Skills for this role

Customer SuccessAccount ManagementStrategic ConsultingEnterprise SaaSStakeholder ManagementData AnalysisProduct AdoptionLegal TechnologyAI/LLM Products

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Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Strategic Account Management and Expansion

    The role requires owning the end-to-end post-sales lifecycle for high-value enterprise accounts in the APAC region. Success is measured by driving deep product adoption, ensuring retention, and identifying expansion opportunities within existing client portfolios.

  • Complex Implementation and Stakeholder Management

    You must lead onboarding and implementation for enterprise deployments, which involves coordinating multiple stakeholders, including C-suite and senior legal leadership. This requires managing complex initiatives from initial scoping through to go-live.

  • Data-Driven Success Planning

    You are expected to build and execute success plans based on quantitative metrics, including product usage data and customer health scores. This requires strong analytical skills to proactively mitigate churn and align customer objectives with Harvey's AI capabilities.

  • Cross-Functional Product Influence

    As a partner to Sales, Product, and Legal Engineering, you must translate customer feedback into actionable product insights. This priority involves influencing the product roadmap to ensure Harvey's AI platform meets the specific needs of the APAC market.

  • Regional Playbook Development

    You will contribute to the growth of Harvey's regional operations by developing scalable playbooks and processes for the APAC customer success motion, ensuring consistent service delivery as the company scales.

Likely challenges to think through

  • Navigating High-Stakes Legal Environments

    Working with legal and professional services clients often involves high expectations for accuracy and security. Prepare by demonstrating how you have managed risk and built trust with senior legal stakeholders who may be skeptical of AI adoption.

  • Balancing Rapid Scaling with Process Maturity

    Harvey is in a growth phase, meaning you will need to build processes from scratch while managing active accounts. Prepare to discuss how you balance the need for 'moving fast' with the requirement to create scalable, repeatable playbooks.

  • Translating Technical AI Capabilities for Non-Technical Users

    You must act as a trusted advisor on complex AI/LLM products. The challenge lies in simplifying technical concepts for legal professionals. Prepare by practicing how you explain the business value of AI without relying on overly technical jargon.

03

Practice your answers

Technical practice

Managing Enterprise Onboarding for AI Solutions

What to coverDescribe your methodology for leading complex, multi-stakeholder implementations from initial scoping to go-live. Focus on how you manage expectations, align technical requirements with business goals, and ensure user adoption in professional service environments.

Data-Driven Account Health Management

What to coverExplain how you utilize product usage metrics and customer health scores to proactively identify churn risks or expansion opportunities. Discuss how you translate these quantitative insights into actionable success plans for high-value enterprise clients.

Influencing Product Roadmaps via Customer Feedback

What to coverDetail your process for gathering and synthesizing customer feedback to influence product and engineering teams. Provide an example of how you have successfully advocated for a feature or workflow improvement based on specific client needs.

Strategic Consulting in Legal Technology

What to coverDiscuss how you would position yourself as a trusted advisor to senior legal leadership regarding AI and LLM capabilities. Address how you balance technical product knowledge with the specific operational constraints and requirements of the legal industry.

Developing Scalable Customer Success Playbooks

What to coverDescribe your approach to creating scalable processes for a growing regional market. Focus on how you standardize onboarding, training, and business reviews while maintaining the flexibility required for high-touch enterprise accounts.

Executive Business Review (EBR) Strategy

What to coverExplain how you structure an EBR for C-suite stakeholders to demonstrate measurable business outcomes. Focus on how you align the value of AI adoption with the client's broader strategic objectives.

Behavioural practice

Managing Conflicting Stakeholder Priorities

What to coverDescribe a situation where you had to manage competing interests among multiple senior stakeholders during an enterprise implementation. Explain the actions you took to reach a consensus and the final result for the project.

Navigating High-Stakes Client Challenges

What to coverProvide an example of a time you faced a significant hurdle or churn risk with a high-value account. Detail the steps you took to mitigate the issue, how you communicated with the client, and the long-term outcome.

Cross-Functional Collaboration and Influence

What to coverShare an experience where you had to collaborate with technical teams (such as Product or Engineering) to solve a customer issue. Explain how you communicated the urgency and business impact to ensure the team prioritized the request.

Adapting to Rapidly Changing Environments

What to coverDescribe a time you had to operate with limited information or in a fast-paced, evolving environment. Explain how you exercised judgment to make a decision and what the impact was on your client's success.

02

Sharpen your knowledge

Topics to prepare

  • Enterprise Customer Success Lifecycle

    Review the end-to-end management of high-value accounts, specifically focusing on onboarding, retention, and expansion strategies. Exercise: Draft a sample 90-day onboarding plan for a new enterprise legal client, identifying key milestones from scoping to go-live.

  • AI and LLM Integration in Legal Workflows

    Understand how agentic AI platforms provide value to professional services. Exercise: Research common pain points in legal document review or contract analysis and map how AI capabilities can specifically address these to drive measurable business outcomes.

  • Data-Driven Account Management

    Focus on using product usage metrics and health scores to inform strategy. Exercise: Create a mock 'Customer Health Dashboard' template that tracks usage frequency, feature adoption, and sentiment, and explain how you would use this data to trigger a proactive intervention.

Skills to revise

  • Executive Stakeholder Management

    Develop the ability to communicate complex technical value to C-suite and senior legal leadership. Exercise: Prepare a 10-minute executive business review (EBR) presentation outline that highlights ROI and strategic alignment for a hypothetical enterprise client.

  • Cross-Functional Collaboration

    Practice aligning customer feedback with internal product and engineering roadmaps. Exercise: Write a mock internal proposal for a new product feature based on a recurring customer request, detailing the business impact and the specific feedback loop used to validate the need.

  • Playbook Development

    Create scalable processes for regional operations. Exercise: Draft a standardized 'Success Playbook' for managing churn risk in the APAC market, outlining the specific triggers, communication cadence, and internal stakeholders involved.

04

Your preparation checklist

  • Analyze your experience with complex enterprise SaaS deployments

    Prepare a summary of your past experience managing multi-stakeholder implementations, specifically highlighting how you navigated C-suite expectations and complex technical requirements in a professional services or legal environment.

  • Develop a framework for data-driven success planning

    Create a mock success plan template that demonstrates how you would use product usage metrics and customer health scores to identify churn risks and expansion opportunities for a high-value enterprise account.

  • Prepare a narrative on influencing product roadmaps

    Draft a concrete example of a time you collaborated with cross-functional teams like Product or Engineering to translate specific customer feedback into a tangible product improvement or feature.

  • Formulate strategic questions for the interviewers

    Prepare thoughtful questions regarding Harvey's current APAC growth strategy, how the team balances standardized playbooks with the unique needs of regional legal firms, and how the CSM role interacts with Legal Engineering.

  • Refine your executive presence and communication style

    Practice articulating complex AI or technical concepts to non-technical stakeholders, ensuring you can demonstrate how to act as a trusted advisor to senior legal leadership.

AI-generated from the job information · Prepared Oct 27, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability has not yet been verified. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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