CommerceIQ Growth

Forward Deployed Engineer

Mountain View, CA On-site $140K–$170K + 10-15% annual bonus Mid (3-5 yrs) Added Jun 22

About the role

<div class="content-intro"><h2><strong>The Company</strong></h2> <p>CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping <strong>AI agents</strong> for content, media, and sales into the workflows of the Fortune 100 every week.</p> <div style="background-color: #1a2a6c; border-radius: 6px; margin: 16px 0; padding: 4px 0; overflow: hidden;"> <table cellspacing="0" cellpadding="0"> <tbody> <tr> <td style="width: 25%; padding: 16px 8px; vertical-align: top;"> <div style="font-size: 20px; font-weight: bold; color: #ffffff;">2,200+</div> <div style="font-size: 12px; color: #b0b8d8; margin-top: 4px;">Customers</div> </td> <td style="width: 25%; padding: 16px 8px; vertical-align: top;"> <div style="font-size: 20px; font-weight: bold; color: #ffffff;">10 of Top 12</div> <div style="font-size: 12px; color: #b0b8d8; margin-top: 4px;">CPG Companies</div> </td> <td style="width: 25%; padding: 16px 8px; vertical-align: top;"> <div style="font-size: 20px; font-weight: bold; color: #ffffff;">900+</div> <div style="font-size: 12px; color: #b0b8d8; margin-top: 4px;">Retailers Connected</div> </td> <td style="width: 25%; padding: 16px 8px; vertical-align: top;"> <div style="font-size: 20px; font-weight: bold; color: #ffffff;">$200M+</div> <div style="font-size: 12px; color: #b0b8d8; margin-top: 4px;">Raised</div> </td> </tr> </tbody> </table> </div> <p>Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.</p></div><p><strong>The Role:</strong></p> <p>As a <strong>Forward Deployed Engineer</strong>, you will partner closely with our founders and the AI Product Managers to prototype and deploy AI‑driven solutions that solve our customers’ most pressing problems.

Industry

AI / Retail Commerce

Top skills for this role

  • LLM/AI application building (fine-tuning
  • prompt engineering
  • RAG)
  • 2. Full-cycle customer deployment ownership (pre-sales to post-deployment)
  • 3. Data integration across retail/e-commerce systems

Languages

PythonJava

Frameworks & tools

SQL/NoSQL databasesREST APIsstreaming/ETL pipelines

AI / ML skills

LLM application building (fine-tuningprompt engineeringRAG workflows)AI agent deployment for retail/e-commerce

Customer skills

Customer-facing problem solver; pre-sales discovery through post-deployment lifecycle ownership; ambiguous requirement translation; Fortune 100 stakeholder engagement

Domain knowledge

E-commerce, retail, supply-chain, ad-tech data (preferred background)

Travel: Yes (~50% to client locations)
Equity: Pre-IPO stock options

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