Customer Success Manager, Postgres & Developer Tools

Tiger Data

United States

On-site

USD 90,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Flexible PTO
Fridays off in August
Fully remote opportunities globally
Stock options for long-term growth
Monthly WiFi stipend
Professional development resources
Premium insurance options (US)

Job summary

Tiger Data is hiring a Customer Success Manager to own a portfolio of high-impact accounts, driving retention, expansion, and advocacy. You will lead onboarding, adoption, and strategic engagements with both technical and executive stakeholders across a remote-first, globally distributed team.

You will partner with Sales, Product, Support, and Engineering, leveraging AI-powered tools to optimize workflows, mitigate risk, and elevate customer outcomes at scale.

Qualifications

  • 2+ years as Customer Success Manager in scaling B2B SaaS.
  • Experience with CS motions: success planning, adoption frameworks, risk mitigation, QBRs.
  • Hands-on technical experience with databases and infrastructure (e.g., Postgres, AWS, Azure).
  • Ability to translate business goals to technical complexity; interact with execs.

Responsibilities

  • Own health, success, and growth of your customer portfolio (onboarding, adoption, retention, expansion, advocacy).
  • Analyze account health, identify risk, and create data-informed success plans tied to ROI.
  • Build multithreaded relationships with technical and business stakeholders, including execs.

Skills

CSM experience
Risk management
Executive communication
Onboarding & QBRs
Time management

Tools

PostgreSQL
AWS
Azure
Go
Docker
Kubernetes

Job description

Tiger Data is hiring a Customer Success Manager to own a portfolio of high-impact accounts, driving retention, expansion, and advocacy. You will lead onboarding, adoption, and strategic engagements with both technical and executive stakeholders across a remote-first, globally distributed team.

You will partner with Sales, Product, Support, and Engineering, leveraging AI-powered tools to optimize workflows, mitigate risk, and elevate customer outcomes at scale.

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