At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work. We strive to make a positive mark on the world through the infrastructure we build and give leading teams a service they can truly depend on. Headquartered in Helsinki, we operate globally with offices in London and San Francisco. Join Verda while it's still being built - not once it's finished. Why Verda Cash and equity compensation along with local benefits. 40+ nationalities, with 6 different ones on the management team. A real chance to make an impact and work alongside world class engineers, researchers, and partners across the global AI ecosystem.

Practicalities Work mode:

Hybrid, based in our San Francisco office

Level:

Junior Employment type:

Full Time Salary:

$57,000 - $67,000 - Final compensation within the role's salary range will be determined by your performance during the interview process and the depth of your relevant experience. Your responsibilities Act as first point of contact for inbound prospects, understanding what they're trying to achieve and where Verda might fit. Approach each conversation as a challenge to solve rather than a product to push Navigate over our platform and explain our products for different customers and their cases Prepare simple quotes, cost comparisons, and usage estimates, doing the everyday number-juggling that helps a customer understand what they'll pay and why. Discuss, understand, and review ramp-up plans Keep the CRM pipeline and inboxes tidy, tracking conversations and follow-ups accurately. Filter and route requests - bringing in a Solution Architect when a conversation gets technical, or forwarding a deal to Strategic Sales if it is becoming complex Your key competencies A solution-focused, problem-solving mindset A working understanding of core computing concepts: what a server is and, at a high level, what makes a cloud a cloud. Ability to build a straightforward cost estimate or comparison and sanity-check the calculations. Clear, confident communication in written and spoken English, with the ability to explain simple technical ideas to technical and non-technical people. Genuine curiosity about AI, cloud infrastructure, and how customers might use them. Comfortable working in a fast-moving, trusting environment, with a willingness to take ownership, learn quickly, and move autonomously. Ability to listen and map customer needs to solutions - or disqualify if not fitting Know what a server is, what makes a cloud a cloud, and how GPU compute helps customers train and run AI workloads. Familiarity with cloud platforms (AWS, GCP, Azure) and an interest in GPUs and AI workloads (CUDA, PyTorch, vLLM, …). Proficiency in English Nice to have Some exposure to sales, customer-facing, or support work (internships, part-time roles, or study projects). Any hands-on tinkering with servers, home labs, clouds, or self-hosted software in general. Ability to recreate deployments similar to our customers, e.g.: an open-weight LLM served by vLLM running on Docker with a Web UI chat interface. Curiosity to dive deeper into topics matters more than depth on day one. Additional languages skills What's next We're building fast and this role needs the right person behind it. There's no artificial deadline, but when we find who we're looking for, we move. If this sounds like your next move, apply now. Please submit your application through our Careers page. We don't accept applications sent by email.