# Semiotic Labs - Business Development at deCircle

> Remote · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2555715 (read 2026-11-08).

## Facts (observed)

- Company: [deCircle](https://alderhq.app/companies/decircle)
- Location text: San Francisco, California, United States
- Where it can be done from (inferred): Remote · United States (evidence: "Location: San Francisco, California, United States")
- Posted: 2026-04-06 (216 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://talent.makerdao.network/o/semiotic-labs-business-development

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 2435): p25 $100k, median $157k, p75 $210k

## Description (the employer's text)

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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2555715 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.