Customer Support Specialist

About us Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed. Owkin builds K Pro - an AI scientist for pharmaceutical research and strategic decision-making. K Pro orchestrates a suite of AI skills and tools to decode complex biology, accelerate research, and dramatically increase productivity. K Pro is built on Owkin’s unrivalled multimodal patient data network, state-of-the-art AI for biology and a decade of experience working with pharmaceutical partners. Position is based in our Paris office or remotely in France, UK or Germany. Please submit your CV in English About the role:  Owkin is looking for a Customer Support Specialist to own first-level support for K-Pro, Owkin's AI research platform for biopharma R&D, used by AstraZeneca, Sanofi, Servier and Boehringer Ingelheim. Our clients have made major investments to access K-Pro, and their contracts come with strict response and resolution SLAs. You will be their first point of contact during business hours: the person who understands their problem quickly, keeps them informed, and gets the right engineering, product or customer success people moving. You will also help shape how support works at Owkin, including where AI and agentisation make it better.   In particular, you will: Own the support flow Own incoming tickets during business hours as the first line of support for all K-Pro clients Triage every ticket: set priority (P1 to P4) and the impacted service, and route it to the right team Keep SLAs on track: follow up on open tickets, escalate early when a deadline is at risk Communicate clear, timely updates to users and CSMs throughout the ticket lifecycled   Go deep on the product Diagnose issues directly with users: reproduce bugs, check data and configurations, and give engineers a clean, actionable report Learn K-Pro in depth (its features, the datasets clients use, how login, API access, exports and permissions work, and the research questions clients bring to it) so you can resolve most issues without escalating Recognise when a result looks scientifically wrong and when it's a usage question Turn support into insight Act as the Customer Success team's eyes on support: flag critical tickets, recurring issues, and signs that a client is becoming dissatisfied, so CSMs can act early Spot patterns across tickets and turn them into product feedback, doc updates or process fixes Track and report on support metrics (response time, SLA compliance, first contact resolution, volume) and give actionable insights to the team. Own the knowledge base Own the K-Pro help center: write, update and remove articles as new issues are resolved Turn one-off fixes into reusable answers for clients and for the support team Improve support with AI Identify where automation and AI tools (triage, routing, response drafting, knowledge retrieval) would save time or improve quality Work with R&Tech Operations to build, test and improve these workflows   About you Required qualifications / experience: Proven technical support or customer support for B2B software, ideally SaaS, with enterprise clients A track record handling SLA-bound support with demanding customers, and staying 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), and the judgment to know when automation fits Excellent written and verbal communication, able to explain technical issues to scientists and to engineers alike Experience with support tooling such as Zendesk, Linear and PagerDuty, or equivalent Able to follow runbooks and escalation paths, and to know when to deviate from them A habit of turning fixes into documentation an