Scaled Customer Success Manager

Posted 50ds ago

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Job Description

Scaled Customer Success Manager at Tiger Data improving database adoption for 1,500 customers. Collaborating with teams to re-engage users and drive product retention.

Responsibilities:

  • Owning the health and outcomes of our scaled portfolio — including onboarding acceleration, adoption growth, retention risk mitigation, and expansion signal qualification across ~1,500 customers
  • Designing and executing segmented 1:many engagement campaigns using tools like HubSpot, Salesforce, and Outreach
  • Building personalized monthly adoption email campaigns that improve engagement, clarify customer use cases, and increase adoption of sticky features
  • Launching and running a repeatable monthly webinar cadence (product roadmap sessions, customer roundtables, and best-practice sharing)
  • Designing and running structured, time-bound plays focused on re-engaging dormant accounts, mitigating churn risk, and identifying and qualifying expansion opportunities
  • Analyzing product usage data and telemetry to identify leading indicators of retention risk and growth opportunity
  • Generating and qualifying expansion leads (CSQLs) through usage insights and structured discovery — maintaining a strong close rate in partnership with Sales
  • Collaborating cross-functionally with RevOps and Marketing to refine segmentation, health scoring, and lifecycle campaign infrastructure
  • Leveraging AI tools like Claude, ChatGPT, and Gemini to draft campaigns, surface risk patterns, summarize usage insights, and improve CS leverage
  • Providing structured feedback to Product and Engineering based on scaled customer insights

Requirements:

  • 2+ years of experience as a Customer Success Manager (or similar post-sales role) in a scaling B2B SaaS organization
  • Have experience working with technical products — familiarity with databases (Postgres/SQL), AWS, or infrastructure concepts is strongly preferred
  • Can confidently engage technical stakeholders (DevOps engineers, data engineers, engineering leaders) and translate between technical complexity and business value
  • Have experience running segmented or scaled customer engagement programs (1:many campaigns, webinars, digital outreach)
  • Are comfortable analyzing product usage data to identify churn risk and expansion opportunities
  • Have partnered closely with RevOps and Marketing on lifecycle campaigns or segmentation efforts
  • Have a working opinion on how AI is reshaping Customer Success and actively use tools like ChatGPT, Claude, or Gemini to improve efficiency and quality
  • Are curious, decisive, and proactive — you think in systems and solve for scale
  • Have strong written and verbal communication skills and can drive clarity in async environments
  • Thrive in fast-paced environments where autonomy and collaboration go hand in hand

Benefits:

  • Flexible PTO and comprehensive family leave
  • Fridays off in August 😎
  • Fully remote opportunities globally
  • Stock options for long-term growth
  • Monthly WiFi stipend
  • Professional development and educational resources 📚
  • Premium insurance options for you and your family (US-based employees)