Jobs · Engineering · California

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

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