Solutions Architect
Mault
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About the role
Solutions Architect (AI Agent Governance)
Type: Full-time | Location: Remote (US residents only)
Role Overview
Cross-functional role at the intersection of product, engineering, and go-to-market (GTM), reporting into GTM. You act as the internal technical expert who can demo, explain, and help shape how Mault is positioned and sold.
Responsibilities
Product Expert & Sales Engineering (50%)
- Become the person who knows the product “from the inside out.”
- Handle prospect questions confidently (e.g., worktree isolation, hook-based governance in enterprise environments).
- Own sales calls and run live demos.
- Translate Mault’s technical capabilities into terms trusted by a VP of Engineering.
Martech & GTM Process (50%)
- Bring AI into the go-to-market engine.
- Build GTM workflows/playbooks rather than following one.
- Work on synthesizing AI tools into the sales process, prospecting workflows, and demo environments.
- Shape product positioning and serve as a technical bridge between engineering and sales.
Requirements
- Ability to learn fast, move independently, and communicate clearly.
- Comfortable using AI tools as part of daily work; AI-built tangible artifacts are a strong advantage.
- Experience having technical conversations with technical buyers; proven capability in a GTM or sales context (title not important).
- Precision communication for emails, demos, and internal briefs.
- Reliable internet and a modern computer.
- Must be based in the US (US authorization required).
Preferred Location
- Greater Phoenix, AZ or Florida (open to other US locations for the right candidate).
Compensation & Structure
- $40–60/hour depending on experience
- 1099 contract to start, 40 hours/week
- Potential to convert to full-time W2 after 60 days based on performance.
Application
- Send resume with a brief summary of why you are a fit.
About Mault
Mault is an AI agent governance platform focused on making multi-agent coding workflows safe, auditable, and deterministic. It provides runtime governance mechanisms like isolation, budget gates, and role segregation to prevent bad outcomes in AI coding agents. The company is seed funded, AI native, and builds the infrastructure enabling multi-agent orchestration.
Scraped 4/8/2026