Forward Deployed Engineering Manager
About The Position
CommerceIQ is seeking an engineering leader for its AI Labs team, which operates as a startup within the company. This role is responsible for building and leading a world-class team in Mountain View, setting the technical direction for agentic AI in commerce, and shipping AI agents for content, media, and sales into the workflows of Fortune 100 companies. The team leverages AI models like Claude, GPT-4, and open-source models in production, with engineers already using AI in their coding. The next leader will be a builder with customer instinct, AI product exposure, product and business thinking, and strong leadership and execution skills. This is an onsite role requiring a Monday-Friday presence in the office.
Requirements
- 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.
Responsibilities
- 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 cycles based on customer feedback and usage.
- Bridge Customer Needs with Product & Engineering: Translate ambiguous business problems into technical solutions and product 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.
Benefits
- Full medical, dental, vision.
- 401(k).
- Unlimited PTO.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
