Superhuman (Agent) Architect
1mind
| Company | 1mind |
| Category | Engineering |
| Location | United States |
| Remote | Remote |
| Employment | Not stated |
| Level | Mid |
| Salary | USD 125k–220k |
| Posted | 29 Apr 2026 |
| Last verified | 1 Aug 2026 |
| Source | Employer career page (ashby) |
Description
SUPERHUMAN (AGENT) ARCHITECT
This is a fully remote opportunity and can be worked from any location in the United States.
ABOUT US
1mind is building the next generation of revenue teams.
We are creating a new category of enterprise software: Autonomous Customer Experience. Our platform deploys Superhumans, go-to-market teammates with a face, a voice, and a GTM brain that serve the buyer across the entire journey with one continuous memory. They engage, demo, onboard, and support in the moments no company could ever staff, so the handoffs disappear and growth stops leaking.
Join us as we define the category and build the platform that powers the next generation of revenue teams. When the buyer wins, the company wins. Every1 Wins.
ABOUT THE ROLE
As an Agent Architect at 1mind, you are the master orchestrator of our AI Superhumans. You don’t just "onboard" customers; you design the digital consciousness and operational framework that allows our AI to integrate seamlessly into a customer’s ecosystem.
This is a hybrid role requiring a key blend of technical engineering, systems thinking, and consultative leadership. You will be the primary technical guide for our customers, taking them from a conceptual vision to a fully activated, high-performing AI workforce. You will map complex workflows, configure intricate agent behaviors, and ensure our Superhumans are transformative team members for our clients.
WHAT YOU’LL DO
- Architect Superhuman Activation: Lead the technical discovery and "blueprint" phase for new customers, mapping their existing business systems to our AI framework
- System Mapping & Integration: Design and implement the data flows between 1mind agents and client tech stacks (CRMs, MAPs, APIs, and proprietary databases)
- Experiential Configuration: Fine-tune Superhuman experiential elements such as visualizations, logic gates, and response triggers
- Customer Consultation: Serve as the technical face of the services team, guiding stakeholders through the activation journey and translating complex technical hurdles into clear, actionable outcomes
- Quality Assurance & Optimization: Conduct rigorous testing of agent behaviors pre & post-deployment to ensure peak performance and reliability
- Feedback Loop: Partner with Product and Engineering teams to advocate for new features and platform enhancements based on real-world activation challenges
WHAT YOU'LL BRING
- 3 - 5+ years in a technical, customer-facing role (e.g., Solutions Architect, Implementation Engineer, or Technical Account Manager) within a SaaS environment
- Proven track record of system integration: You should be comfortable working with REST APIs, webhooks, and middleware
- Background in Workflow Design: Experience mapping complex business processes using tools like LucidChart, Miro, or Visio
- Client Management: Experience managing high-stakes projects for enterprise-level stakeholders, specifically during the "onboarding" or "activation" lifecycle
WHAT WILL HELP YOU THRIVE
- The "Architect" Mindset: You enjoy zooming out to see the big picture of a system, but you have the discipline to zoom in and fix a broken line of logic
- High Emotional Intelligence: You can read a room and pivot your communication style from "deeply technical" for developers to "value-driven" for executive stakeholders
- Adaptability: You are excited by the "blank canvas" of AI and aren't afraid to build the playbook as you go in a fast-evolving industry
- Relentless Curiosity: You want to understand the "why" behind every customer request to build a better "how."
PREFERRED SKILLS
- AI/ML Literacy: Familiarity with LLM prompt engineering, vector databases, or natural language processing (NLP) concepts
- Technical Proficiency: Knowledge of Python, JavaScript, or SQL is a major plus for troubleshooting integrations
- Industry Knowledge: Experience in CX (Customer Experience) or Digital Transformation sectors
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