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Semiotic Labs - Business Development

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AI Summary

Semiotic Labs is a research-driven engineering organization operating at the intersection of AI, cryptography, and decentralized infrastructure.Through Agentium Network, Semiotic enables enterprises to deploy agentic AI systems that automate workflows, coordinate across systems, and enhance decision-making in complex environments.The RoleWe are hiring a Business Development Representative to drive enterprise adoption of agent-based AI systems.This role combines:Enterprise Sales & PartnershipsWor

About this role

Semiotic Labs is a research-driven engineering organization operating at the intersection of AI, cryptography, and decentralized infrastructure.

Through Agentium Network, Semiotic enables enterprises to deploy agentic AI systems that automate workflows, coordinate across systems, and enhance decision-making in complex environments.

The Role

We are hiring a Business Development Representative to drive enterprise adoption of agent-based AI systems.

This role combines:

  • Enterprise Sales & Partnerships

  • Workflow Discovery & No-Code Solution Design

  • Product Feedback & Iteration

You will work directly with enterprise clients to understand their workflows, build solutions using Agentium’s tooling (no coding required), and convert opportunities into pilots, LOIs, and contracts.

Key Responsibilities

Enterprise Development & Partnerships

  • Build and leverage relationships with consulting firms, system integrators, and enterprise stakeholders

  • Identify and qualify opportunities within mid-to-large enterprises

  • Develop strategic entry points into target accounts

Customer Discovery & Workflow Mapping

  • Analyze and document customer workflows, bottlenecks, and decision processes

  • Translate business problems into structured, automatable workflows

Workflow Design (No-Code)

  • Build and prototype agent-based workflows using Agentium tooling

  • Demonstrate how AI agents can:

    • Automate operations

    • Coordinate across systems

    • Improve decision-making

Product Feedback & Iteration

  • Act as a bridge between enterprise users and product/engineering teams

  • Deliver structured feedback on:

    • Workflow gaps

    • Feature requirements

    • Usability improvements

Commercial Execution

  • Drive deals from initial engagement → pilot → LOI → contract

  • Secure:

    • Letters of Intent (LOIs)

    • Pilot agreements

    • Enterprise contracts

  • Navigate multi-stakeholder enterprise environments (procurement, legal, innovation teams)

Market Intelligence & Positioning

  • Stay informed on enterprise AI adoption trends and consulting strategies

  • Position Agentium within broader AI transformation initiatives

  • Articulate clear business value propositions for different industries

Requirements

  • Proven track record selling into mid-to-large enterprises

  • Strong network across:

    • Consulting firms (Big4, boutique, SIs)

    • Enterprise stakeholders (CIO, CTO, Innovation, Operations)

  • Experience in:

    • AI / data / automation / enterprise software

    • OR relevant industries (manufacturing, legal, data-intensive environments)

Core Skills

  • Ability to understand and map complex enterprise workflows

  • Comfortable building no-code / low-code solutions or prototypes

  • Strong consultative selling and stakeholder management skills

  • Demonstrated experience closing:

    • LOIs

    • Pilot agreements

    • Enterprise contracts

Domain Knowledge

  • Working understanding of AI applications in enterprise environments

  • Familiarity with at least one of:

    • Robotics / manufacturing systems

    • Legal / compliance workflows

    • Data-heavy operational systems

Nice to Have

  • Experience in early-stage (0→1) environments

  • Exposure to agent-based systems or automation platforms

  • Experience working closely with product and engineering teams

  • Background in consulting or working with consulting firms

What Success Looks Like

  • First 90 days:

    • Build pipeline of qualified enterprise opportunities

    • Develop initial workflow prototypes

    • Secure early pilots or LOIs

  • 6 months:

    • Close initial contracts

    • Establish repeatable sales + deployment motion

    • Contribute to product evolution through feedback

  • 12 months:

    • Scale enterprise pipeline

    • Build strong partnerships with consulting firms

    • Help define category positioning for agentic AI workflows

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