Forward-Deployed Engineer

Role Overview

The Forward-Deployed Engineer will own end-to-end enterprise deployments of wearable AI systems, working directly with industrial customers on-site to bring solutions into production. The role sits directly between customers, product, and engineering and plays a critical role in turning deployments into repeatable product capabilities.

What You Will Do

Own end-to-end enterprise deployments of wearable AI systems, work directly with industrial customers on-site, configure networks, edge-computing infrastructure, and deployment environments, build API, webhook, and ETL integrations across customer systems, and troubleshoot deployments and perform full-stack debugging across systems.

Why It Might Be a Fit

Ideal candidate has 2–5 years of experience in Forward-Deployed Engineering, Implementation Engineering, Solutions Engineering, Technical Consulting, or customer-facing software engineering, strong software engineering fundamentals, hands-on technical problem solving, and experience building integrations between multiple enterprise systems.

Requirements

• 2–5 years of experience in Forward-Deployed Engineering, Implementation Engineering, Solutions Engineering, Technical Consulting, or customer-facing software engineering
• Experience owning technical deployments from pre-sales through production rollout
• Experience working directly with enterprise customers
• Strong software engineering fundamentals and hands-on technical problem solving
• Experience building integrations between multiple enterprise systems
• Familiarity with REST APIs, webhooks, ETL pipelines, and enterprise software ecosystems
• Experience working with messy or incomplete operational data
• AI product integration experience (RAG pipelines, LLM workflows, AI evaluations, agent systems)
• Strong debugging skills across infrastructure, integrations, and applications
• Ability to rapidly prototype and ship practical solutions
• Experience translating customer problems into technical implementations
• Comfortable operating with significant ambiguity and ownership
• Strong communication and stakeholder management skills
• Willingness to travel and work directly with customers on-site
• Technical degree from a strong university preferred

Benefits

• Base salary: $160,000 – $245,000
• Equity: 0.25% – 0.75%
• Significant early-stage ownership opportunity
• Direct impact on company growth and product direction
• Opportunity to work closely with founders
• Exposure to cutting-edge AI, computer vision, wearable technology, and industrial automation
• Fast hiring process with highly engaged founders
• High autonomy and broad technical ownership
• Opportunity to build deployment infrastructure from the ground up
• Work directly with enterprise customers solving real operational problems
• Potential to become one of the foundational technical leaders of the company
• Exposure to robotics, multimodal AI, enterprise software, and hardware systems