Cloudflare's solutions engineering (SE) function is responsible for collaborating with clients from early-stage ideation through to planning for production. Being much more than an expert solely in Cloudflare’s services, our Solutions Engineers are expected to sit alongside our peers in our clients, and to contribute their energy, ideas and opinion on solving the hard problems we face in our industry today. Often this means deep work on the art-of-the possible (and sometimes being willing to put aside preconceptions on the impossible!). As a Solutions Engineering Manager, you set the cadence of the team’s communication, collaboration and culture. Supporting the personalised individual development plan for each team member, you will coach our Iberia & Italy SE Team to excel across the sales and technical disciplines necessary to support a successful team. You will also work closely with our Enterprise prospects and customers by shadowing and improving your team’s technical expertise to help develop good practice and ensure a high standard of customer success. Responsible for the hiring, on-boarding, enablement and technical pre-sales performance of the Iberia & Italy Solutions Engineering team, you will be the focal point for coordinating the team’s resources to have the greatest customer impact and to help provide guidance when specific assistance is required or to escalate early and to engage the correct resources at the right time. To aid your team, you will work closely with cross-functional teams at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organisation as you seek out and advise your team on how to create scalable solutions for your customer’s needs. As Cloudflare expands its AI infrastructure and developer platform offerings, Solutions Engineers and SE Managers are increasingly expected to support customers evaluating AI-first architectures — from AI Gateway traffic management and rate limiting, to deploying LLMs via Workers AI, to building RAG stacks with Vectorize and R2. Candidates with experience in AI/ML infrastructure, model serving, or security for AI pipelines are strongly encouraged to apply.
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Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed