Description
We are seeking a commercially sharp and technically curious Digital Natives Account Executive to join our Swiss Sales Team, focused on the German-speaking market.
In this high-energy, hunter role, your primary mission is new logo acquisition , finding, engaging, and closing net-new digital-native companies across the region who are not yet working with Cloudflare.
Your target universe includes fintechs, SaaS platforms, AI-native startups, developer-led scale-ups, and cloud-first businesses: companies that move fast, make infrastructure decisions at the engineering level, and expect their vendors to keep up.
As a Digital Natives Account Executive, you will build pipeline through outbound prospecting, community engagement, and ecosystem presence, convert developer-led adoption into commercial new logo wins, and position Cloudflare as the infrastructure partner of choice for the next generation of technology companies.
Critically, you will use AI tools as an active and integral part of how you sell , both because your buyers, who are often building AI products themselves, will notice and respect it, and because winning new logos at pace in this segment requires it.
Responsibilities
- New Logo Acquisition: Drive the identification, pursuit, and closure of net-new digital-native accounts as the primary focus of this role.
- Outbound & Ecosystem-Led Pipeline Generation: Take full ownership of pipeline creation , through direct outreach, active participation in the startup and tech ecosystem, and engagement with founder and developer communities across DACH.
- Developer & Technical Buyer Engagement: Build credible, trusted relationships with technically sophisticated buyers , CTOs, VPs of Engineering, platform leads, and technical founders.
- Product-Led Growth Conversion: Identify accounts where individual or team-level usage of Cloudflare's platform signals a commercial opportunity.
- AI Platform Positioning: Position Cloudflare's AI infrastructure capabilities , AI Gateway, Workers AI, Vectorize, and Zero Trust for AI workloads , to prospects building AI-powered products and services.
- AI-Powered Sales Execution: Leverage AI tools as a deliberate and consistent part of how you prospect and sell , applying them to target account research, personalised outreach at scale, technical meeting preparation, pipeline management, and follow-up drafting.
- Full-Cycle Sales Management: Run efficient, full-cycle sales processes across a diverse prospect portfolio with varying deal sizes and cycle lengths.
- Compelling Value Creation: Articulate clear, outcome-linked value propositions for Cloudflare's platform, tailored to the specific context and priorities of each prospect.
- Post-Close Positioning: Ensure newly closed customers are set up for success on the Cloudflare platform and positioned for long-term growth.
- Pipeline Management & Forecasting: Maintain a healthy, accurate new logo pipeline and deliver reliable, insight-driven forecast calls to sales leadership.
- Market Insight & Team Contribution: Share field intelligence from the digital-native ecosystem openly with the wider team.
Desirable Skills, Knowledge, and Experience
- 3–5 years of experience in B2B technology sales, with a consistent track record of meeting or exceeding new logo and quota targets, ideally selling to digital-native, developer-led, startup, or scale-up companies.
- Proven hunter mentality in a digital-native or startup context , you know how to find the right companies, get in front of the right people, and close before the window closes.
- Strong understanding of how digital-native companies buy , product-led growth, bottom-up adoption, engineering influence, founder decision-making, and fast-moving procurement cycles.
- Comfort engaging with technical buyers , CTOs, VPs of Engineering, platform leads, and founders , on infrastructure, APIs, developer tooling, cloud architecture, and security.
- Demonstrated use of AI tools in a sales context , outreach drafting, account research, meeting preparation, pipeline management.
- Familiarity with AI infrastructure concepts , inference APIs, vector databases, LLM cost management, AI security , and the ability to engage credibly with customers who are building AI-powered products and services.