[Hiring] Customer Success Manager @Level Data LLC

Role Description

As a Customer Success Manager, you'll own the post-sale relationship for a portfolio of K-12 district and state-agency accounts — driving retention, expansion, and measurable data outcomes that make educators' jobs easier.

• Own value delivery, renewals, and expansion.
• Manage account success plans, forecast and close renewals end-to-end (pricing, terms, redlines, on-time signature) and run upsell/cross-sell from discovery to close solo or in partnership with Sales.
• Accountable for GRR and NRR targets across your book.
• Drive measurable value by translating product usage into strategic outcomes that superintendents, CIOs, and CFOs care about.
• Manage risk and prevent churn by monitoring health signals, building remediation plans, and orchestrating cross-functional rescues before issues become churn.
• Build durable, multi-threaded relationships by mapping and engaging stakeholders across IT, instructional, finance, and exec sponsors.
• Lead complex SaaS implementations by partnering with product and engineering onboarding, integrations, and configuration.
• Use AI and automation to scale your impact with modern CS tooling, health-score automation, and AI-assisted account research.

Qualifications

• 3-5+ years of experience in Customer Success managing enterprise customers and senior stakeholders in a SaaS environment.
• Proven track record of achieving GRR and NRR targets.
• Strong verbal and written communication skills, including presentation ability for executive audiences through EBRs and board level communication.
• Strong understanding of customer success motions including value focused account planning, expansion motions, multi-threading, mutual action plans, QBRs/EBRs, onboarding in data, analytics, or education technology.
• Highly organized and data driven, with strong attention to detail, the ability to manage multiple accounts and priorities simultaneously, and a bias toward using metrics and dashboards to inform decisions and track progress.
• Bachelor's degree in a relevant field (Education, Data Science, Business, etc.) or equivalent professional experience.
• Technical background or fluency is a strong plus; experience with APIs, data integrations, product configuration, or similar technical concepts will be increasingly valuable.
• Comfort with AI-powered tools (e.g., LLM-based research assistants, automated meeting summaries, predictive health scoring) and a bias toward using them to scale your impact.

Benefits

• Unlimited PTO
• 401(k) with company match
• Competitive medical, dental, and vision coverage
• Paid parental leave
• Mental health and wellness support
• Annual learning & development budget