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About the Role

As the first US-based technical hire, you will be responsible for the complete technical success of US customers, acting as the frontline for deployments and influencing market product adoption. The company develops AI agents for the short-haul trucking and waste management sectors, experiencing rapid growth.

Responsibilities

• Lead technical deployments and customer onboarding from kickoff to go-live.
• Serve as the primary technical point of contact for customers, addressing integration and operational issues.
• Integrate the platform with customers' existing job management systems and GPS/telematics infrastructure.
• Translate customer feedback and deployment learnings into product insights for the engineering team.
• Develop internal tooling, scripts, and processes to enhance deployment efficiency and repeatability.
• Collaborate with founders to define the forward-deployed function as the US business expands.
• Act as a trusted technical advisor to logistics operations teams in industrial field settings.

Requirements

• 3–10+ years of experience in a forward deployed engineering, solutions engineering, or technical implementation role.
• Strong software engineering fundamentals with the ability to write code to solve customer problems.
• Experience integrating SaaS platforms with third-party systems using APIs, webhooks, or data pipelines.
• Excellent communication skills, capable of explaining complex technical concepts to non-technical audiences.
• Self-starter with the ability to work autonomously in an early-stage environment.
• Willingness to be on-site in Austin, TX and travel to customer sites as needed.
• Background in logistics, fleet management, waste management, or industrial operations.
• Experience at an early-stage startup or as a first technical hire.
• Familiarity with route optimization, scheduling systems, or GPS/telematics platforms.
• Experience working with AI/ML-powered products in a deployment or customer-facing capacity.

Skills

• Software Engineering
• API Integration
• Webhooks
• Data Pipelines
• Communication
• Problem Solving
• Logistics
• Fleet Management
• Waste Management
• Industrial Operations
• Route Optimization
• Scheduling Systems
• GPS/Telematics
• AI/ML Products

Location

• Austin, Texas, US
• On-site
• Customer sites

Work Type

• On-site
• Full-time

Experience Level

• 3-10+ years

Salary/Compensations

• $110,000 – $135,000 USD annually

Benefits

• Founding-team equity opportunity

About the Company

• Fast-growing, Y Combinator–backed AI startup in the industrial logistics space.
• Builds AI agents targeting the short-haul trucking and waste management sector.
• Scaling rapidly with strong month-over-month growth heading toward key ARR milestones.