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Customer Success Engineer

CompraTica Empleos

EMP:Customer Service
USA
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Tailscale  Tailscale is building the new Internet by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are

From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more.

We're building a future for the Internet that's easy, sensible, and safe, like it used to be.

Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.

Job DescriptionAs Customer Success Engineer (CSE) at Tailscale, you’ll be the bridge between our technical capabilities and the needs of our most strategic customers.

You will work directly with customers to ensure their success with Tailscale’s products, helping them get onboarded, driving their long-term adoption, and providing expert technical guidance throughout their journey.

This role requires a combination of technical proficiency, problem-solving.

Habilidades

, and an empathetic customer-centric approach to ensure customers are fully empowered to leverage the power of Tailscale

The role will report directly to Zach Buchheit, Team Lead, Customer Success Engineers.

Responsabilidades

Lead and manage the onboarding process for new strategic customers, ensuring they quickly understand and adopt Tailscale

Provide training and resources that set customers up for long-term success.

  • Offer technical support for customers, diagnosing and resolving issues across Tailscale's platform.

Assist with configuration, integration, and troubleshooting to ensure smooth implementation.

Conduct QBRs with customers to review usage, success metrics, and future goals.

Use these touchpoints to identify opportunities for deeper engagement and horizontal expansion.

Build strong relationships with customers, acting as a trusted advisor.

Help customers optimize their use of Tailscale by identifying best practices, and by providing recommendations based on their specif.

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