Forward Deployed Engineering Manager

requirements Provide structured feedback to product and engineering teams to improve core platform capabilities Identify patterns across customers and help shape repeatable product features vs one-off solutions Lead a High-Impact Engineering Pod Manage a small team of engineers focused on customer deployments and solutioning Ensure high quality of delivery while maintaining speed and adaptability Balance hands-on technical software development with ai tools like claude, cursor (~40%) with leadership and stakeholder management Drive Business Impact Understand customer KPIs and ensure deployed solutions drive measurable outcomes Act as a trusted technical advisor to customer stakeholders Partner with GTM and Customer Success teams to expand and deepen customer value Close pilots Shape the Future of AI at CommerceIQ Bring frontline insights into how AI is used in production Influence how CommerceIQ evolves from SaaS to AI-native workflows and agents Help define best practices for deploying AI systems at enterprise scale What We Look For This is not a caretaker role. We need a builder. Here is what matters: Builder with Customer Instinct. Experience working in customer-facing engineering, solutions engineering, or consulting roles Background in technology consulting, business consulting, or forward deployed engineering Ability to operate in ambiguous environments and solve real business problems AI Product Exposure. LLM-powered features AI copilots / assistants Workflow automation Understanding of how AI systems behave in real-world production environments Product & Business Thinking. Ability to connect technical solutions to business outcomes Strong intuition for what should be productized vs customized Experience collaborating closely with product teams Business Consulting exp is a must have Leadership & Execution. Experience managing engineers or leading small teams Ability to drive high-velocity execution in dynamic environments Strong communication skills across technical and non-technical stakeholders Why This Role is Unique You are closest to the customer problem - not building in isolation You influence both product direction and customer success You operate at the intersection of: Engineering, AI, and Business outcomes

Compensation and

Benefits Base: $160,000 - $210,000 Equity: Significant pre-IPO stock options. This is a leadership seat and the equity reflects that. We are at a stage where senior hires still get meaningful ownership.

Benefits: Full medical, dental, vision. 401(k). Unlimited PTO. Location: Mountain View, CA. Onsite. 15 minutes from Stanford campus.

Why join now: The window is now. The company has product-market fit, revenue, and customers. The AI Labs team is being built right now. In 12 months this team will be set. The founding members will define the culture, the architecture, and the trajectory. This is that moment. Real AI, not AI theater. Most companies are bolting AI onto legacy products and calling it innovation. We are rebuilding the entire platform around autonomous agents. Our agents are already in production, already in customer workflows, already making decisions. If you want to lead a team doing real AI, this is it. Fortune 100 scale. Your decisions will directly affect how 2,200+ brands run their ecommerce. The Fortune 100 uses our platform to manage billions of dollars in commerce. This is not a sandbox. Equity upside. Pre-IPO. $200M+ raised from tier-one investors. The economics of joining at this stage, in this role, are compelling. Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

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