Founding Forward Deployed Engineer
Hyperscale · San Francisco, CA · 4 mo ago
On-siteEngineeringFull-time
About the role
The role involves owning the technical side of Hyperscale's enterprise sales process. Key responsibilities include running technical discovery calls, designing proof-of-concept configurations, and traveling to customer sites to support implementation.
Responsibilities
- Lead technical discovery calls with carrier IT, operations, and executive teams
- Understand customer workflows, systems (TMS, ELD, dispatch software), and integration requirements
- Design proof-of-concept configurations that map our AI agents to specific customer use cases
- Document edge cases and requirements to inform the product roadmap
- Run tailored product demos tied to each prospect's workflows and pain points
- Scope and execute pilot programs with clear success metrics (call resolution rate, time savings, CSAT)
- Build ROI models showing cost savings and efficiency gains
- Troubleshoot issues during pilots and coordinate with engineering to resolve them quickly
- Travel to customer sites roughly once a month for one to two days at a time (up to 25% travel in steady state)
- Embed with customer operations teams to conduct workflow discovery and scope integrations
- Write code or prototype solutions on-site when needed to unblock deals or accelerate implementation
- Answer RFPs, security questionnaires, and compliance documentation (SOC 2, data handling, etc.)
- Lead technical deep-dives with buyer IT and security teams on architecture, data flows, and integrations
- Build proposals, integration plans, and implementation timelines
- Address technical objections early and build internal champions
- Scope integrations (APIs, webhooks, data pipelines) with engineering for new customers
- Support initial deployment: data mapping, workflow configuration, testing, and go-live
- Train customer teams on configuration, agent tuning, and performance monitoring
What Success Looks Like (First 90 Days)
- 3+ pilots launched with clear metrics showing product value
- A technical close plan established for every active enterprise opportunity
- Core sales collateral built: demo script, ROI calculator, integration overview, security FAQ
- A strong working relationship with engineering and a clear process for escalating customer needs
- At least 2 deals closed where your technical work was critical to winning
Who You Are
- 2 to 5 years of experience as a software engineer or full stack engineer, ideally at a high-growth B2B company
- Have built and shipped real products end to end, not just scripts or one-off integrations
- Strong foundation in full stack development, APIs, webhooks, and system architecture
- An engineer who actually wants to talk to customers and is curious about sales and product, excited to flex into those areas over time
- High agency, proactively identify problems and figure out solutions without being told how
- Comfortable with ambiguity and moving fast in an environment where the playbook does not exist yet
- Willing to experiment with new ways of working as AI rapidly changes how companies operate, you do not cling to a fixed process
- Excited about traveling on-site to customer locations and being embedded in their world
- Scrappy and gritty, have had to figure things out from scratch before and thrive doing it
Nice to Have
- 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.)
Location
San Francisco preferred (in-person when not traveling).
Why Hyperscale
- 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