Solution Architect - AI / HPC Infrastructure (Pre-Sales)

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US onlySeniorPublished 15 July 2026Check carefully

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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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