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Customer Support Specialist

Owkin - Paris, Île-de-France, France - Hybrid - posted 2026-10-02

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Owkin is an agentic AI company building K Pro, an AI scientist for pharmaceutical research and strategic decision-making used by major biopharma clients including AstraZeneca, Sanofi, Servier, and Boehringer Ingelheim. K Pro orchestrates AI skills and tools to decode complex biology and accelerate research. You will be the first-level support specialist for K Pro, owning the customer support flow during business hours. Your responsibilities include: **Support Operations:** - Own incoming support tickets as the first point of contact for all K Pro clients - Triage every ticket by priority (P1-P4) and impacted service, routing to the appropriate team - Maintain SLA compliance by tracking open tickets, escalating early when deadlines are at risk - Provide clear, timely updates to users and customer success managers throughout the ticket lifecycle **Product Expertise:** - Diagnose issues directly with users by reproducing bugs, checking data and configurations, and providing engineers with actionable reports - Develop deep knowledge of K Pro's features, client datasets, login/API access, exports, permissions, and research use cases - Resolve most issues without escalation by understanding both technical and scientific dimensions - Recognize when results appear scientifically incorrect versus when they reflect usage questions **Insight & Improvement:** - Act as the Customer Success team's eyes on support by flagging critical tickets, recurring issues, and signs of client dissatisfaction - Identify patterns across tickets and convert them into product feedback, documentation updates, or process improvements - Track and report support metrics (response time, SLA compliance, first-contact resolution, volume) with actionable insights - Own and maintain 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 **AI & Automation:** - Identify opportunities where automation and AI tools (triage, routing, response drafting, knowledge retrieval) would save time or improve quality - Collaborate with R&Tech Operations to build, test, and improve these workflows **Requirements:** - Proven technical or customer support experience for B2B software, ideally SaaS with enterprise clients - Track record handling SLA-bound support with demanding customers; ability to stay calm under pressure - Strong technical curiosity: comfortable 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 (AI-assisted triage, automated routing, LLM-powered drafting) with good judgment about when automation fits - Excellent written and verbal communication; ability to explain technical issues to both scientists and engineers - Experience with support tools such as Zendesk, Linear, PagerDuty, or equivalent - Ability to follow runbooks and escalation paths while knowing when to deviate - Habit of turning fixes into documentation and patterns into insights **Preferred:** - Experience in life sciences, biopharma, or other regulated industries

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