CommerceIQ

Technology

ForwardDeployedEngineeringManager

$220–320k ~AI est. Mountain View, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Forward Deployed Engineering Manager at CommerceIQ. Skills: AI, Agentic AI, Customer deployments, Product direction. Deploy AI solutions with customers. Implement AI agents and workflows”

What You'll Achieve.

Drive measurable outcomes; Expand and deepen customer value

Industry & Context.

Technology
Problems you'll solve

Solve ambiguous problems; Solve real business problems

What They're Looking For.

Must Have

Customer-facing engineering experience, Solutions engineering experience, Technology consulting background, Business consulting background, Forward deployed engineering background, Experience managing engineers, Experience leading small teams

Nice to Have

AI Product Exposure, LLM-powered features, AI copilots / assistants, Workflow automation, Experience collaborating with product teams, Business Consulting exp is a must have

What You'll Do.

Deploy AI solutions with customers

Implement AI agents and workflows

Customize CommerceIQ platform

Adapt CommerceIQ platform

Drive rapid iteration cycles

Translate business problems

Provide structured feedback

Improve core platform capabilities

Identify patterns across customers

Shape repeatable product features

Manage engineering pod

Ensure high quality delivery

Maintain speed and adaptability

Balance hands-on development

Drive business impact

Understand customer KPIs

Ensure solutions drive outcomes

Act as technical advisor

Partner with GTM teams

Partner with Customer Success

Expand customer value

Deepen customer value

Bring frontline insights

Influence CommerceIQ evolution

Define best practices

How You'll Work.

Team & Collaboration

Product & Engineering teams; GTM and Customer Success teams; Technical and non-technical stakeholders

Communication Scope

Communication skills

Full Job Description

The Company CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised 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. The Role We have thousands of enterprise users, proven product-market fit across digital shelf analytics, retail media, and sales operations, and the Fortune 100 running on our platform. That part works. Now we are building something new: autonomous AI agents that are already in customer hands and scaling fast. This is a 0-to-1 build inside a company that has the distribution, the data, and the customers to make it real. The AI Labs team operates as a startup within the company. It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK. Mountain View is the center of gravity for AI leadership. This role reports directly to the Founders. We ship with Claude, GPT-4, and open-source models in production. Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt. The next leader will know the difference. This is an onsite role with expectations that you are working from the office Monday-Friday What You Will Do Deploy AI Solutions with Customers Work directly with enterprise customers to implement AI agents and workflows across content, media, and sales use cases Customize and adapt CommerceIQ’s platform to fit real-world customer environments Drive rapid iteration

Free ATS check

Applying for this Forward Deployed Engineering Manager role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about CommerceIQ?

Real rants from real employees. Read before you apply.

Read Company Rants →