Level

Luma AI

Senior Customer Success Manager

Luma AI is hiring a Senior Customer Success Manager for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Luma AI.

Level's read on this job

  • On Level's scale, this customer service role is Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include CRM, Saas Dashboards and account management.
  • Level classifies it as a senior role.
  • Level lists 29 other open roles at Luma AI.

AI in this role

Own strategic enterprise accounts and drive expansion in a high-growth AI and developer tools company.

crmsaas-dashboards
account-managementcustomer-successenterprise-salessaasexpansion-strategy

You'll own a portfolio of Luma's high-value enterprise accounts and be responsible for growing how much they use the platform and how far it spreads inside their organizations. The role blends commercial ownership, product usage, and customer strategy.

Luma's post-sales organisation is early, so you'll help set how account growth is driven across EMEA rather than inheriting a mature motion. It fits someone commercial who's fluent with usage data and comfortable in fast-moving, ambiguous environments. If you want a defined playbook and steady accounts to maintain, this isn't that.

What You'll Own

  • Own a portfolio of strategic enterprise accounts, responsible for expansion and long-term growth.

  • Find and execute opportunities to grow usage across teams, geographies, and use cases.

  • Build multi-threaded relationships across technical, operational, and executive stakeholders.

  • Own and interpret usage data, spotting trends, spikes, and drop-offs across accounts.

  • Turn usage insight into proactive growth strategies.

  • Partner with product and engineering to unlock new use cases and clear adoption blockers.

  • Lead account planning, expansion strategy, and commercial conversations, and contribute to renewals.

First 90 Days

One way the first 90 could unfold.

  • Days 1–30 — Immerse & Diagnose: Learn your accounts, their usage patterns, and where adoption is stuck.

  • Days 30–60 — Ship & Validate: Land an expansion or new-use-case win in a priority account, driven by usage data.

  • Days 60–90 — Scale & Systemize: Turn the approach into a repeatable account-growth motion for EMEA.

What You Bring

  • 5–10+ years in Strategic Account Management, Enterprise Sales, or commercial Customer Success in SaaS, AI, or enterprise tech.

  • A track record of driving expansion and growth in large, complex accounts.

  • Strong commercial mindset and comfort working with data, dashboards, and usage metrics.

  • Ability to navigate and influence stakeholders across large organisations.

  • Proactive ownership and comfort in fast-moving, ambiguous environments.

Nice to Have

  • Experience with usage-based or API-driven products.

  • Background in AI, data platforms, developer tools, or creative technology.

  • Experience working with technical stakeholders such as engineering or product teams.

  • Experience scaling accounts in high-growth startups.

Note: this body covers the three Customer Success roles — EMEA (London), EMEA German-speaking (London), and Germany (Munich). The two German roles add: native or fluent German required.

About Luma: Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe multimodality is critical for intelligence — the next step beyond language models comes from vision. Luma is an equal opportunity employer.

How we rate this

Senior Customer Success Manager at Luma AI rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Account ManagementCustomer SuccessEnterprise SalesSaasExpansion StrategyCRMSaas Dashboards

Also common in customer service jobs at this level

Pay

Typical customer service job
$100k

This posting doesn't list pay. Use the typical customer service figure when pay comes up. See customer service jobs

Questions you could be asked

  1. Tell me about a project where account management was part of your work. What did you do?
  2. Tell me about a project where customer success was part of your work. What did you do?
  3. Tell me about a project where enterprise sales was part of your work. What did you do?
  4. Tell me about a project where saas was part of your work. What did you do?
  5. Tell me about a project where expansion strategy was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Account Management, Customer Success, Enterprise Sales, Saas, and Expansion Strategy. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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