6 дней назад
Technical Success Engineer
80 000 - 100 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Success Engineer (AI/Data Privacy): Providing tier 1 technical support, investigating bugs, assisting customer implementations, and maintaining public documentation for an agentic data privacy platform with an accent on AI-first workflows, customer issue analysis, and technical communication. Focus on reproducing and diagnosing issues, coordinating fixes with Engineering, identifying recurring support patterns, and improving tools, documentation, and resolution times.
Location: Remote - United States
Salary: $80,000–$100,000 USD annually
Company
provides an agentic data privacy platform that helps enterprises automate privacy operations and manage risk through AI, secure integrations, and human-governed workflows.
What you will do
- Provide tier 1 technical support and resolve customer requests through the support queue.
- Investigate, reproduce, and document bugs before escalating them to Engineering.
- Coordinate communication between customers and Engineering until fixes or workarounds are delivered.
- Partner with Customer Success on technical customer implementations.
- Maintain public documentation and identify recurring ticket patterns to improve self-service and reduce resolution times.
- Contribute to AI-first workflows, shared tools, prompts, and product feedback for Product and Engineering.
Requirements
- Strong technical background in engineering, technical support, or implementation.
- Familiarity with at least one programming language; Ruby on Rails is preferred.
- Ability to write diagnostic scripts, reproduce issues, review logs, and provide clear technical context.
- Strong written communication skills when working with customers and engineers through email or Zoom.
- Ability to multitask, work through ambiguity, and manage competing high-priority issues.
- Daily use of AI tools such as Claude and Claude Code, with an interest in improving shared AI workflows.
Nice to have
- Experience with REST APIs, SAML, or SSO authentication.
- Experience with Datadog, Sentry, or other logging and observability tools.
- Familiarity with AWS, cloud infrastructure, SQL, or analytics.
Culture & Benefits
- Remote-first working environment.
- Equity eligibility for full-time regular employees.
- Health, dental, and vision insurance.
- 401(k) savings plan, parental leave, wellness benefits, flexible time off, and paid holidays.
- Work-from-home stipend and an AI-first approach to improving team workflows.
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