About the Role
A fast-growing, Y Combinator–backed AI startup in the industrial logistics space is hiring its first technical hire on the ground in the US. As a Founding Forward Deployed Engineer, you will own the full technical success of US customers end-to-end — sitting at the front line of every deployment and shaping how the product lands in the market.
The company builds AI agents targeting the short-haul trucking and waste management sector — a massive market still largely run on spreadsheets — and is scaling rapidly with strong month-over-month growth heading toward key ARR milestones.
What You'll Do
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Lead technical deployments and onboarding for US customers from kickoff through go-live
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Serve as the primary technical point of contact for customers, diagnosing and resolving integration and operational issues
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Integrate the platform with customers' existing job management systems and GPS/telematics infrastructure
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Translate customer feedback and real-world deployment learnings into clear product insights for the engineering team
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Build internal tooling, scripts, and processes to make deployments faster and more repeatable
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Partner closely with founders to define the forward-deployed function as the US business scales
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Act as a trusted technical advisor to logistics operations teams, often in industrial field environments
What We're Looking For
Required
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3–10+ years of experience in a forward deployed engineering, solutions engineering, or technical implementation role
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Strong software engineering fundamentals — comfortable writing code to solve customer problems on the fly
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Experience integrating SaaS platforms with third-party systems via APIs, webhooks, or data pipelines
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Excellent communication skills — able to explain complex technical concepts to non-technical operations teams
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Self-starter mentality; comfortable operating with significant autonomy in an early-stage environment
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Willingness to be on-site in Austin, TX and travel to customer sites as needed
Nice to Have
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Background in logistics, fleet management, waste management, or industrial operations
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Experience at an early-stage startup or as a first technical hire in a market
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Familiarity with route optimization, scheduling systems, or GPS/telematics platforms
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Experience working with AI/ML-powered products in a deployment or customer-facing context
Compensation & Benefits
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Salary: $110,000 – $135,000 USD annually
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Founding-team equity opportunity
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Visa sponsorship: Not available — candidates must be authorized to work in the US
Location
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Austin, Texas, US — on-site role
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Travel to customer sites (primarily industrial/logistics environments) is expected
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