O

Owkin

AI-powered diagnostics and drug development

Customer Support Specialist

Customer SupportConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Proven technical or customer support experience for B2B software, ideally SaaS, with enterprise clients.
  • Experience handling SLA-bound support for demanding customers and remaining calm under pressure.
  • Technical curiosity and comfort with APIs, logs, data, and configurations; basic SQL or scripting is a plus.
  • Hands-on experience with AI tooling and building or improving agentic support workflows, including AI-assisted triage, automated routing, or LLM-powered drafting, plus sound judgment about when automation is appropriate.
  • Ability to explain technical issues clearly to scientists and engineers, verbally and in writing.
  • Experience with support tooling such as Zendesk, Linear, and PagerDuty, or equivalent tools.
  • Ability to follow runbooks and escalation paths and know when to deviate from them.
  • Habit of turning fixes into documentation and patterns into insights.

Responsibilities

  • Own incoming tickets during business hours as the first line of support for all K-Pro clients.
  • Triage every ticket by setting its priority from P1 to P4 and identifying the impacted service, then route it to the appropriate team.
  • Keep SLAs on track by following up on open tickets and escalating early when a deadline is at risk.
  • Communicate clear, timely updates to users and customer success managers throughout the ticket lifecycle.
  • Diagnose issues directly with users by reproducing bugs, checking data and configurations, and providing engineers with a clear, actionable report.
  • Learn K-Pro's features, client datasets, login, API access, exports, permissions, and users' research questions to resolve most issues without escalation.
  • Recognize when a result appears scientifically wrong and distinguish that from a usage question.
  • Flag critical tickets, recurring issues, and signs of client dissatisfaction to customer success managers so they can act early.
  • Identify patterns across tickets and turn them into product feedback, documentation updates, or process fixes.
  • Track and report support metrics, including response time, SLA compliance, first-contact resolution, and ticket volume, and provide actionable insights to the team.
  • Own the K-Pro help center by writing, updating, and removing articles as issues are resolved.
  • Turn one-off fixes into reusable answers for clients and the support team.
  • Identify opportunities for automation and AI tools in triage, routing, response drafting, and knowledge retrieval to save time or improve quality.
  • Work with R&Tech Operations to build, test, and improve support workflows.

Desired Qualifications

  • Experience in life sciences, biopharma, or another regulated industry.

About the Company

Owkin

AI-powered diagnostics and drug development

Owkin uses AI to support diagnostics and speed up drug development in oncology and other diseases. It builds AI models that analyze multimodal patient data—including digital pathology images, genomics, and clinical records—to identify which patients are most likely to respond to treatments and to optimize the design of clinical trials. The company collaborates with biopharma and academic centers to train models on diverse datasets while safeguarding data privacy. Its goal is to advance precision medicine by making drug discovery faster and more targeted, improving outcomes for patients.

Company size
201-500
Company stage
Series B
Total funding
$335M
Headquarters
Paris, France
Founded
2016

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