Solution Architect - AI / HPC Infrastructure (Pre-Sales)
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Senior
- Where you can live
- US only
- Skills and tools
- saas
- Job type
- Full-time
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Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- Senior
- Employer publication date
- 15 July 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 8 November 2026
About the job
Title
Solution Architect — AI / HPC Infrastructure (Pre-Sales)
Focus
Customer-Facing Architecture | Distributed Systems | AI / HPC Deployments
Location
Remote - United States
Department
Sales
Exemption/Classification
Exempt, Full Time
Overview
This role exists to bridge deeply technical distributed systems design with real-world customer environments. You will partner with customers, sales, and engineering teams to design and translate complex AI and HPC infrastructure into practical, deployable solutions. Success in this role looks like customers who not only understand what is being built—but trust that it will work in real-world conditions where networks are imperfect, environments are constrained, and systems must perform under pressure. You are the connective layer between what is possible and what works in practice.
What You Do
Translate Complex Systems into Real-World Solutions
- Partner with customers to understand technical environments, constraints, and goals
- Design solution architectures that reflect real-world conditions (latency, bandwidth, reliability)
- Communicate complex distributed systems concepts in a clear, practical way
Lead Technical Pre-Sales Engagements
- Support the sales process as the technical counterpart in customer conversations
- Guide architecture discussions, whiteboarding sessions, and technical discovery
- Build trust through clarity, depth, and honest assessment of tradeoffs
Design for Imperfect Environments
- Architect solutions that operate across distributed, hybrid, or constrained infrastructure
- Identify risks early—network limitations, integration complexity, system dependencies
- Ensure designs prioritize resilience, performance, and long-term operability
Bridge Sales and Engineering
- Translate customer needs into actionable inputs for engineering teams
- Collaborate on solution feasibility, tradeoffs, and delivery expectations
- Stay engaged through early delivery to ensure alignment between design and execution
Operate with Ownership and Flexibility
- Navigate ambiguity in a fast-moving, startup environment
- Contribute across roles when needed—from architecture to early implementation support
- Help shape how TWG delivers and scales its solutions over time
Requirements
You are a technical architect who understands that real systems don’t operate in perfect conditions—and neither do customers. More specifically, you:
- Have experience working with distributed systems, infrastructure, or complex technical environments
- Are comfortable discussing system behavior, tradeoffs, and constraints—not just features
- Can engage both technical and non-technical stakeholders with clarity and confidence
- Understand that pre-sales is not about promising everything—it’s about designing what will actually work
- Thrive in environments where you are expected to think, adapt, and contribute beyond a defined role
- Are energized by building something early, where structure is evolving, and impact is visible
This is not a demo-driven sales engineering role built around pre-packaged solutions. It is not focused on application-layer or SaaS-style architecture, and it does not operate within a highly structured, process-heavy environment with rigid handoffs.
Accelerators
- Experience with AI, HPC, or GPU-based infrastructure
- Background in hybrid cloud, edge computing, or distributed environments
- Familiarity with networking constraints, performance tuning, or system-level behavior
- Experience in early-stage or high-growth environments
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