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Customer Success Engineer

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San Francisco$140k - $185k + equityFull-timePosted 3mo ago

About the role

Tasklet is hiring a Customer Success Engineer to own inbound support, engage with users live, proactively assist high-value customers, and automate and improve the system to reduce workload while increasing customer success. 1–5 years of experience preferred in a tech-enabled, AI-focused startup.

Responsibilities

  • Own inbound customer support via email and calls — diagnose and resolve complex issues across a product that touches dozens of external services, runs code, browses the web, and manages files
  • Make every customer interaction excellent — clearly explain technical concepts, show empathy, and build confidence that issues are being handled well
  • Own existing customer relationships — high-touch onboarding, training, and demos; help customers maximize value
  • Feed insights back to product and engineering — capture issues and gaps, work with engineers to fix them (drive some fixes yourself)
  • Build AI-augmented support workflows — automate handling of common support requests using Tasklet and other tools
  • Improve internal tooling and processes — build dashboards, admin panels, and automations for efficiency
  • Create and improve self-serve resources — write help docs, guides, examples, and internal playbooks

Qualifications

  • 1–5 years of experience (ideal)
  • Technology power user with strong customer-facing skills
  • Excellent communication, empathy, and ability to build trust with users
  • Passion for AI and automation; proactive in applying AI tools to reduce repetitive work

Skills

Required:Customer supportCommunicationOnboarding & trainingProblem solving
Nice to have:Automation & AI tooling

Benefits

  • Competitive benefits (medical, dental, vision, 401k)
  • 4 weeks PTO
  • free lunch
Last updated Oct 25, 2026. Interested? Apply on the company site.
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About Tasklet

The cloud agent operating system for knowledge work

AI chatbots can answer questions, but they can't do your work — they aren't connected to your tools, can't take actions, and stop running when you close the tab. Meanwhile, knowledge workers are still spending most of their day switching between dozens of SaaS apps, manually stitching together workflows that should be automated. Tasklet is the AI agent that actually does the work. It connects to every tool you use — via thousands of built-in integrations, any HTTP API, or MCP servers — and takes real actions on your behalf: pulling reports, updating CRMs, triaging emails, processing data, and more. When it needs a UI, it generates one on the fly. When it needs to crunch numbers or do bulk operations, it writes and runs code in a cloud sandbox. When it needs to interact with a website that doesn't have an API, it uses a real browser. And because it runs in the cloud 24/7, you can set up triggers to have it take ongoing responsibility for workflows — not just do something once, but handle it going forward. The product is deliberately simple: a chat interface where you talk to an extremely capable agent. But underneath that simplicity is a cloud-native agent runtime, best-in-class context engineering, a universal connections layer, and multi-model support that keeps us on the frontier as AI improves. We think legacy SaaS is being unbundled by agents, and Tasklet is the operating system that ties it all together.

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