Hyperscale · 4 days ago
Founding Forward Deployed Engineer
San Francisco
Full-time
Onsite
Mid, Senior Level
3+ years expHyperscale is building the AI-native intelligence layer for physical operations, focusing on trucking carriers. The Founding Forward Deployed Engineer will be responsible for deploying and optimizing Hyperscale's AI platform at customer sites, working closely with enterprise carriers to integrate and customize solutions based on their operational needs.
Transportation/Trucking/Railroad
Responsibilities
Own end-to-end deployment of Hyperscale's platform at enterprise customer sites, from scoping to go-live
Work directly with carrier operations teams to understand their workflows, pain points, and requirements
Configure and customize our agentic AI system to handle customer-specific use cases, call flows, and business logic
Integrate our platform with customer systems (TMS, dispatch software, driver apps, etc.) via APIs and custom connectors
Troubleshoot technical issues in real-time and ensure successful production launches
Monitor AI agent performance in production and identify opportunities for improvement
Iterate on agent behavior, prompts, workflows, and guardrails based on real customer interactions
Work with product and engineering teams to translate field learnings into platform improvements
Build customer-specific tooling, scripts, and configurations to maximize automation rates and quality
Serve as the technical point of contact for enterprise customers during deployment and early adoption
Train customer teams on how to monitor, configure, and optimize the platform
Create deployment runbooks, integration guides, and best practices documentation
Proactively identify expansion opportunities and new use cases within existing accounts
Bring frontline insights back to product and engineering teams to inform roadmap and priorities
Participate in customer calls, demos, and technical scoping conversations alongside sales
Help shape how we build agentic features that work reliably in diverse operational environments
Contribute to internal tooling that makes deployments faster and more scalable
Qualification
Required
3-5+ years of software engineering or solutions engineering experience, with a strong technical foundation
Comfortable with full-stack development, APIs, databases, and system integrations
Track record of working directly with customers in technical or deployment roles
Strong problem-solving skills and ability to debug issues across unfamiliar systems
Excellent communication skills - you can translate between technical and operational stakeholders
Highly adaptable and comfortable with ambiguity, rapid iteration, and changing priorities
Willing to travel regularly to customer sites (expect 30-50% travel)
Preferred
Experience deploying AI/ML products or other complex technical systems in production
Background in logistics, trucking, fleet operations, or adjacent industries
Prior work as a solutions engineer, implementation engineer, or forward deployed engineer
Experience with enterprise integrations, ETL pipelines, or middleware platforms
Startup experience or comfort operating in fast-moving, high-autonomy environments
Scripting and automation skills (Python, SQL, etc.)
Benefits
Real product in production with major US fleets
Clear ROI and strong metrics already working in the wild
Work hands-on with cutting-edge agentic AI technology in high-stakes production environments
Direct customer exposure and immediate feedback loops - see your work drive real operational outcomes
Build the deployment playbook and forward deployed function from day one, with a path to leadership as we scale
Backed by top VCs and growing quickly - doubling the team in the first half of the year
Company
Hyperscale
Hyperscale Systems pioneers voice‑first AI agents that automate complex trucking workflows from driver check‑ins to appointment scheduling.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase