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Design Ops

Alan - Paris, France - Hybrid - posted 2026-10-16

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Alan is a prevention-focused health insurance company serving 1M+ members across Europe, with €800M+ ARR. The Design & Research (D&R) community is the group of designers and researchers behind Alan's member-facing experiences. As the company scales rapidly and AI transforms what's possible, Alan is hiring a Design Operations professional to help the D&R community move faster without compromising quality. This is a builder role at the intersection of design operations, tooling, and AI. You will not be a designer or researcher yourself, but rather an enabler who helps the community perform better as the member base grows. You'll work closely with the D&R lead, community members, and cross-functional partners in engineering, Product Ops, and platform teams. Key responsibilities include: - Explore and test new AI tools and automations to identify those that genuinely save time or improve quality; collaborate with internal AI tooling teams to bring cutting-edge capabilities to design and research workflows. - Build skills, agents, and automated checks that make design and research work more efficient, reliable, and higher quality. - Maintain and upgrade the tools the community relies on; serve as the point of contact with Alan's platform and agentic teams. - Improve how the team works by introducing better practices and rituals, elevating existing processes, and sharing learnings internally and externally. - Own your roadmap: identify opportunities, prioritize solutions, set clear goals, track adoption and quality metrics, and iterate based on feedback. You will help D&R maintain high quality standards while scaling, working in close collaboration with the community and leadership. Requirements: - Approximately 4 years of experience in ops, enablement, design ops, tooling, automation, analytics, program management, or similar roles. - Hands-on experience automating work: you have replaced repetitive tasks with automations, internal tools, or AI workflows (no-code, low-code, or AI-based), either at work or in personal projects, and can articulate what you built and who benefited. - Familiarity with AI tools: you have built or tested skills, agents, or automations, and care about reliability, not just demo-ready results. - Comfort working with engineers: you can build things yourself, know when to escalate for production-grade work, and speak their language. - Experience supporting a team or community through onboarding, rituals, events, or internal communications. - Strong English communication for collaboration with an international team; French is a plus. Nice to have: - Experience in or alongside a design or research team. - Familiarity with Figma and design systems. Desired qualities: - Builder and strategic mindset: you make progress with incomplete information, choose the simplest approach that works, and ship. - Rigor: you set baselines and targets, improving with each iteration. - Systems thinking: you see how people, processes, tools, and data fit together. - Sound judgment: you frame ambiguous problems, prioritize effectively, and know what to drop. - Clear communication: you keep people updated and explain your choices.

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