Technical Account Manager

Technical Account Manager Imagine joining a company where many of the customer relationships, operational processes, and scaling practices that will define the future are still being built. At Verda, we're building next-generation cloud infrastructure for AI workloads. From GPU cloud computing and large-scale data centers to platform tooling and AI services, we are scaling rapidly across multiple dimensions at once. As our customer base continues to grow, we are looking for a Technical Account Manager to become the trusted technical partner for our customers, helping them successfully deploy, scale, and operate large GPU and HPC workloads on our platform. We're ambitious, curious, and pragmatic builders. We operate with low hierarchy, high ownership, and a strong bias for action. We've already achieved a lot, but we're only getting started. Now it's your chance to join the ride. Join Verda while it's still being built, not once it's finished! Your responsibilities As a Technical Account Manager, you own the technical relationship with a portfolio of customers running demanding GPU and HPC workloads on Verda. The role works in two directions: outward, as the customer's trusted technical advisor, and inward, as their advocate inside Verda's engineering, infrastructure, and operations teams. Outward (customer-facing): Serve as the primary technical point of contact for assigned customers, building trusted relationships with their ML, research, and engineering teams. Develop a deep understanding of each customer's technical environment, GPU/HPC workloads, and roadmap. Partner with customers on compute and storage capacity planning, anticipating workload growth across training and inference. Advise on cluster architecture, job scheduling, networking, and storage so customers get the most from their infrastructure. Own customer health for your portfolio, proactively identifying churn risks and expansion opportunities. Keep customers informed and confident through onboarding, change, and incidents. Inward (internal-facing): Coordinate cluster onboarding and deployments across engineering, infrastructure, and operations teams, delivering against agreed timelines. Lead incident response and escalation management for customer-impacting issues, driving cross-functional teams to resolution. Feed customer pain points, usage patterns, and feature signals back to product and engineering to shape the roadmap. Document each customer's environment and workloads so the knowledge is shared and actionable internally. Define the staffing plan for a 24/7 customer operations function and lead hiring, including role definition, interviewing, onboarding, and team growth. Your key competencies Hands-on experience with HPC and/or large-scale GPU clusters, gained in a customer-facing role such as pre-sales solutions architecture, post-sales technical account management, solution architecture, or customer-oriented site reliability engineering (SRE). Practical understanding of the HPC/AI stack: GPU compute, job schedulers (e.g., Slurm, Kubernetes), high-performance networking (InfiniBand/RDMA), and parallel or distributed file systems (e.g., Lustre, GPFS, BeeGFS, Ceph). A strong technical foundation in cloud infrastructure and distributed systems, with the ability to communicate confidently with engineering and research teams. Experience managing enterprise customer relationships and coordinating complex technical projects across multiple stakeholders. Experience leading customer onboarding, technical deployments, or infrastructure rollouts. Strong incident management and escalation handling skills. Excellent communication, stakeholder management, and problem-solving abilities. Comfortable working in fast-moving, ambiguous environments with a high degree of ownership. Experience hiring, building, or mentoring technical teams is an advantage. Nice to have Experience supporting AI/ML training and inference workloads at scale (e.g., PyTorch, distributed training, MPI). Familiarity with MLOps tooling and workflow orchestration. Experience with hybrid or cloud-bursting HPC architectures. Experience supporting enterprise customers in cloud, infrastructure, or HPC businesses. Experience building or scaling customer operations or technical support teams. Experience working in a rapidly growing technology company. Experience using AI-powered tools to improve customer support, operations, or internal workflows. Why Verda Cash + equity compensation along with various fringe benefits (e.g., healthcare, lunch, wellbeing, etc.) Profitable operations with rapid, sustained growth. 31 nationalities, with 6 different ones on the management team. Opportunity to work directly with some of the most innovative AI companies and workloads in the industry. A chance to help shape how customer operations evolve as Verda continues to scale globally. Practicalities Location: Helsinki/ London Hybrid mode: Working 3 days a week from our Helsinki/ London office. Employment type: Full-time and permanent. 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. Department Research & Development Locations London, Helsinki Remote status Hybrid About Verda Verda (formerly DataCrunch) is a technology company building the next generation of cloud infrastructure for AI – compute that's instant, on-demand and at scale. Headquartered in Helsinki, the company operates globally across Europe, the US and Asia. Verda employs over 100 people from nearly 30 nationalities and has raised over $200M in total funding from investors including Lifeline Ventures, byFounders, J12 Ventures, Skaala, Varma and Tesi, alongside leading financial institutions.