Director of Solutions Architecture

Omniva is hiring a Director of Solutions Architecture to build and lead the technical field team that turns AI infrastructure customers into long-term, production-scale accounts. You will own pre-sales architecture, post-sales technical success, and support escalation as one connected customer experience.

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The role

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This is a player-coach leadership role reporting to the VP/Head of GTM. You will manage a growing team of Solutions Architects, Technical Account Managers, and Support Engineers, and you will stay hands-on in the largest and most complex customer engagements. You will shape how Omniva wins deals, onboards workloads, and keeps customers growing as capacity scales.

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What you'll do

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Lead and grow the team

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• Hire, coach, and retain a high-performing team of Solutions Architects, TAMs, and Support Engineers; set clear expectations, career paths, and performance standards.
• Define the operating model between pre-sales, post-sales, and support so customers experience one technical team from first call through steady-state production.
• Design coverage models and SA-to-rep alignment as the team grows across segments, regions, or verticals.

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Win in pre-sales

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• Own pre-sales technical strategy: how the team scopes, designs, demos, and proves solutions, including POCs, benchmarks, and RFP responses.
• Partner with Sales leadership on pipeline and deal strategy for AI labs, model builders, AI-native startups, and enterprises moving workloads off hyperscalers.
• Lead technical discovery and architecture design for large GPU clusters across training, fine-tuning, and inference.
• Act as a senior technical advisor to customer CTOs, CIOs, and architects on strategy, architecture, and value.

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Set architecture standards

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• Establish reference architectures, solution patterns, and best practices for GPU clusters, networking (InfiniBand, RoCE), storage, and orchestration (Kubernetes, Slurm) that make delivery repeatable.
• Build playbooks, enablement, and tooling so new hires ramp quickly and POCs follow a consistent framework.

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Drive post-sales success

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• Own onboarding and time-to-production for new customers, including cluster bring-up and workload migration.
• Direct TAM engagement on account health, capacity planning, expansions, and renewals.
• Run technical escalations to resolution with Engineering, Data Center Operations, and Network Engineering.

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Own support outcomes

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• Set support SLAs, escalation paths, and quality metrics; reduce repeat incidents through root-cause analysis and postmortems.
• Partner with Support and SRE on runbooks, tooling, and customer communications during incidents.

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Enable partners and represent Omniva

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• Enable channel and technology partners, such as GPU vendors, OEMs, and system integrators, to position and deliver Omniva solutions.
• Represent Omniva at customer events, partner programs, and industry conferences.

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Be the voice of the customer

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• Translate field feedback into product and capacity roadmap priorities with Product and Engineering.
• Provide technical inputs to forecasting and capacity planning with Sales and Finance.
• Report on team impact to senior leadership (see Success metrics).

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What you'll bring

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Required

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• 10+ years in solutions architecture, sales engineering, or technical consulting, including 4+ years managing technical teams.
• A record of leading SA teams that contribute to measurable revenue growth in a cloud, infrastructure, or enterprise technology environment.
• Direct experience with cloud or AI infrastructure: GPU compute, high-performance networking (InfiniBand, RoCE), and high-throughput storage.
• Working knowledge of distributed training and inference stacks (PyTorch, NCCL, vLLM, Triton, or similar) and orchestration with Kubernetes and Slurm.
• Experience building scalable processes: coverage models, POC frameworks, enablement, and tooling.
• Strong executive presence, with experience presenting to and advising C-level stakeholders, and the ability to explain complex technology in business terms.
• Bachelor's degree in computer science, engineering, or equivalent practical experience.

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Preferred

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• Prior experience at a neocloud, hyperscaler, GPU or AI hardware vendor, or high-growth AI infrastructure company.
• Experience scaling an SA organization through growth, including hiring across regions or verticals.
• Background in channel, partner, or marketplace-led sales motions, including OEM and technology alliances.
• Familiarity with capacity planning, reserved-capacity contracts, and consumption-based commercial models.
• Experience with value-based selling and business-case development for large infrastructure commitments.
• Hands-on background with MLOps platforms, observability, and infrastructure-as-code (Terraform, Ansible).
• Relevant certifications (cloud, Kubernetes, NVIDIA, or architecture credentials such as TOGAF) are a plus, not a requirement.