Tiger Data is a company that empowers developers and businesses with a PostgreSQL platform designed for various workloads. The Customer Success Manager will own a portfolio of high-impact accounts, focusing on revenue retention, expansion, and customer advocacy while helping customers adopt and succeed with the platform.
Responsibilities:
- Owning the health, success, and growth of your customer portfolio — including onboarding, adoption, retention, expansion, and advocacy
- Analyzing account health, identifying risk, and creating data-informed success plans that align with customer ROI
- Building strong, multithreaded relationships with technical and business stakeholders, including execs
- Leading customer engagements like onboarding calls, QBRs, roadmap discussions, and escalation resolution
- Collaborating with Sales, Product, Support, and Engineering to advocate for customer needs and influence the roadmap
- Generating and qualifying expansion leads (CSQLs) through discovery, usage insights, and strategic conversations
- Driving internal improvements to our CS playbooks, tooling, and automation as we scale
- Leveraging AI to optimize workflows, surface risk, generate content, and improve customer touchpoints
- Helping us convert customers into active champions — case studies, testimonials, reference calls, and more
Requirements:
- 2+ years of experience as a Customer Success Manager in a scaling B2B SaaS org, ideally in the $50M–$100M ARR range
- Fluent in customer success motions (success planning, adoption frameworks, risk mitigation, QBRs, value mapping, CSQL generation)
- Hands-on technical experience with databases (e.g., Postgres, SQL, AWS, Azure) or have been in developer relations, data engineering, or similar
- Can translate fluently between business goals and technical complexity — you're as comfortable with a VP Eng as a DevOps IC
- Know what great looks like and have built or iterated on CS playbooks, customer journeys, and internal tooling
- Curious, decisive, and proactive — you think ahead and solve for scale
- Excellent time management, organization, and prioritization skills — you know how to stay focused in fast-moving, ambiguous environments
- A working opinion on how AI is reshaping CS, and are actively experimenting with tools like GPT, Claude, or Zapier AI
- Strong communication skills (written, verbal, async) and know how to build trust quickly with customers
- Thrive in fast-paced environments where ambiguity is a feature, not a bug