
Founding Forward Deployed Engineer
Hyperscale6 months ago
San Francisco, CA, USAMid Level / Senior
Responsibilities
- Lead technical discovery with carrier IT, operations, and executive teams and design customer-specific proof-of-concept configurations.
- Run tailored demos, scope pilots, define success metrics, build ROI models, and troubleshoot pilot issues with engineering.
- Travel to customer sites, embed with operations teams, conduct workflow discovery, and prototype solutions on-site when needed.
- Support technical sales through RFPs, security questionnaires, architecture deep-dives, proposals, integration plans, and implementation timelines.
- Scope APIs, webhooks, and data pipeline integrations; support data mapping, configuration, testing, deployment, and go-live.
- Train customer teams on configuration, agent tuning, and performance monitoring.
- Document customer requirements and edge cases to inform the product roadmap and establish the forward deployed function.
Requirements
- 2 to 5 years of experience as a software engineer or full stack engineer, ideally at a high-growth B2B company.
- Experience building and shipping real products end to end rather than only scripts or one-off integrations.
- Strong foundation in full stack development, APIs, webhooks, and system architecture.
- Willingness to engage directly with customers and flex across engineering, product, and sales.
- Ability to work independently in ambiguous, fast-moving environments and travel to customer sites.
- Preferred experience deploying AI/ML products or other complex technical systems in production.
- Preferred background in logistics, trucking, fleet operations, or adjacent industries.
- Prior solutions engineering, implementation engineering, or forward deployed engineering experience is preferred.
- Experience with enterprise integrations, ETL pipelines, or middleware platforms is preferred.
- Startup experience and scripting or automation skills, including Python and SQL, are preferred.
Benefits
- San Francisco preferred with in-person work when not traveling.
- Travel to customer sites roughly once a month for one to two days, up to 25% in steady state.
- Path to leadership as the forward deployed function scales.
- Opportunity to work hands-on with agentic AI technology in production environments and receive direct customer feedback.