DataGrail logo
DataGrail
Posted 23 days agoVerified live 1d ago

Technical Success Engineer

Brief overview

Remote
UndergradOr in progress
$80k–$100k/yrStated range
3+ yrsMinimum
Technical SupportBug Investigation and ReproductionProgramming/ScriptingREST APIsSAML and SSODatadog or SentryAWSSQL

About the company

DataGrail logo
DataGraildatagrail.io

Privacy tech company providing privacy automation and compliance solutions.

Job description

Summary

DataGrail is an Agentic Data Privacy Platform that helps leading brands automate privacy and control risk with secure, human-governed AI. The Technical Success Engineer will provide tier 1 technical support, investigate and escalate bugs, support customer implementations, maintain documentation, and collaborate with Product and Engineering to improve the product and support experience.

Responsibilities

  • Serve as DataGrail's tier 1 technical support, resolving requests directly and flagging what needs deeper expertise
  • Investigate and reproduce reported bugs, then escalate to Engineering with clear repro steps and context
  • Facilitate the back-and-forth between Engineering and the customer, and close the loop once a fix or workaround ships
  • Partner with Customer Success to ensure successful technical implementation for customers
  • Keep DataGrail's public documentation up to date
  • Identify recurring patterns in support tickets to help improve processes and documentation, enabling customers to self-serve enablement and troubleshooting as much as possible, and helping drive down resolution time and key SLAs
  • Contribute to DataGrail's AI-first workflows, helping build and improve the shared tools, prompts, and processes that help the team move faster
  • Partner closely with Product and Engineering, surfacing what's blocking customers in the product and feeding that insight into upcoming features

Skills

  • Strong technical background from an engineering, technical support, or implementation role
  • Familiarity with at least one programming language, ideally Ruby on Rails, with the ability to write scripts to diagnose issues
  • Ability to reproduce an issue, gather technical context from a non-technical customer, and dig through logs to paint a complete picture for Engineering
  • Strong written communicator, comfortable working directly with customers via email or Zoom, able to translate technical issues into clear guidance for both customers and engineers
  • Comfortable being pulled in multiple directions at once, able to multitask and shift between competing high-priority issues throughout the day
  • Comfortable operating in ambiguity, asking good questions, and experimenting with new approaches as the support function matures
  • An AI-first mindset: you use tools like Claude and Claude Code daily and contribute to the shared AI workflows and processes that help the whole team move faster
  • A habit of flagging process or tooling improvements when you spot a recurring problem
  • Experience with REST APIs and authentication protocols such as SAML and SSO
  • Experience with logging and observability tools such as Datadog or Sentry
  • Familiarity with AWS or cloud infrastructure basics
  • Familiarity with SQL and analytics

Qualifications

Must Haves

  • Strong technical background from an engineering, technical support, or implementation role
  • Familiarity with at least one programming language, ideally Ruby on Rails, with the ability to write scripts to diagnose issues
  • Ability to reproduce an issue, gather technical context from a non-technical customer, and dig through logs to paint a complete picture for Engineering
  • Strong written communicator, comfortable working directly with customers via email or Zoom, able to translate technical issues into clear guidance for both customers and engineers
  • Comfortable being pulled in multiple directions at once, able to multitask and shift between competing high-priority issues throughout the day
  • Comfortable operating in ambiguity, asking good questions, and experimenting with new approaches as the support function matures
  • An AI-first mindset: you use tools like Claude and Claude Code daily and contribute to the shared AI workflows and processes that help the whole team move faster
  • A habit of flagging process or tooling improvements when you spot a recurring problem

Nice to Haves

  • Experience with REST APIs and authentication protocols such as SAML and SSO
  • Experience with logging and observability tools such as Datadog or Sentry
  • Familiarity with AWS or cloud infrastructure basics
  • Familiarity with SQL and analytics

Benefits

  • Equity
  • Health, dental & vision insurance plans
  • Remote-first working environment
  • 401k savings plan
  • Parental leave
  • Wellness benefits
  • Flexible time off
  • Paid holidays
  • Work from home stipend

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