Solutions Architect

🚀 Presales Solution Architect – US

AI Infrastructure Scale-Up Vendor

📍 Location: United States (Remote)

💰 Salary: Circa $220k–$300k OTE (70/30) \+ stock/benefits

The Role

As a Presales Solution Architect, you’ll operate at the intersection of infrastructure, networking, and AI — helping enterprise organizations modernize their compute stack to support next-generation AI workloads. You'll work hand-in-hand with Enterprise AEs and prospects to identify technical challenges, architect scalable infrastructure solutions, and guide customers through high-impact technical evaluations that lead directly to revenue.

This role is perfect for someone who’s energized by designing complex, high-performance systems, loves working with customers, and can clearly articulate how technical capabilities translate to business outcomes. If you’re excited by rapid growth, cutting-edge distributed compute, and helping the world adopt AI at scale, you’ll thrive here.

What You’ll Do \& Achieve

🔹 Lead technical discovery conversations to understand customer environments, data flows, security requirements, and AI workload demands

🔹 Architect scalable AI infrastructure designs (GPU clusters, networking fabrics, storage, orchestration layers) tailored to customer needs

🔹 Deliver compelling demos, workshops, and POCs that showcase performance, scalability, and TCO advantages

🔹 Partner closely with AEs throughout the sales cycle — from qualification to competitive positioning to closing

🔹 Build trusted relationships with decision-makers ranging from infrastructure engineers to CIOs/CTOs

🔹 Translate technical requirements into solution proposals, deployment plans, and ROI narratives

🔹 Support RFPs, compliance reviews, and solution documentation

🔹 Provide structured product feedback to engineering and product teams to improve roadmap priorities

🔹 Represent the company at conferences, webinars, and industry events as a technical thought leader

Who You Are

✔️ 5–7\+ years in Presales / Solution Architecture / Sales Engineering for enterprise infrastructure

✔️ Hands-on experience across compute, networking, and storage architectures — ideally with large-scale AI training/inference workloads

✔️ Deep technical fluency with topics such as GPU orchestration, high-speed networking (InfiniBand/RDMA), distributed storage, Kubernetes, and on-prem/cloud hybrid designs

✔️ Ability to run live demos, architecture deep dives, and performance benchmarking discussions with confidence

✔️ Comfortable scripting / light automation (Python, Bash, Terraform, or similar) to support POCs or reference deployments

✔️ Proven success supporting fast-growth GTM teams in a scaling start-up environment

✔️ Exceptional communicator capable of influencing both technical and executive stakeholders

✔️ Passionate about AI infrastructure, performance engineering, and pushing what is possible with large-scale compute

✔️ Based in the United States (remote-friendly; occasional travel to customer sites and industry events)

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