Founding Software Engineer (Customer Experience)

Founding Software Engineer (Customer Experience)

About Hyperscale

Hyperscale is building AGI for physical operations. We're a team of ex-Samsara engineers and operators deploying frontier agentic systems in the real world.

The result is a superagent that autonomously handles the highest-volume, most complex back-office workflows physical operations depend on: load coordination, scheduling, support, finance and billing, and more. We're live with some of the largest fleets in the US, running millions of autonomous tasks each week, with strong customer satisfaction. We're backed by top investors and moving fast.

The Role

We are looking for a Founding Software Engineer to own the technical side of our customer lifecycle. You will work directly with the founders, GTM, and engineering teams: running technical discovery, designing POCs, traveling on-site to customer locations, and supporting implementation through go-live. This role blends pre-sales and post-sales, and the ideal person can flex across product, engineering, and sales depending on what the moment requires.

If you like solving complex integration challenges, translating technical capabilities into business value, and shaping product direction from the field, this role is for you.

You'll be working on the frontier of applied AI deployment: taking sophisticated agentic systems from demo to production in complex operational environments. This means understanding customer workflows deeply, configuring AI agents to handle their specific use cases, and solving technical integration challenges in real-time - all while the technology itself is rapidly evolving.

This is a highly technical, customer-facing role where you'll split time between customer sites and working with our product team. If you like being in the field, solving hard problems on the fly, and seeing immediate impact from your work, this role is for you.

What You'll Do

Technical Discovery and Solution Design

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

Demos, Pilots, and Proof of Value

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

On-Site Customer Engagement

Travel to customer sites roughly once a month for one to two days at a time (up to 10% 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

Technical Sales Support

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

Onboarding and Post-Sales

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

Technical close plan established for every active opportunity

Core sales collateral built: demo script, ROI calculator, integration overview, security FAQ

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

You 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

You are an engineer who actually wants to talk to customers and are curious about sales and product, excited to flex into those areas over time

High agency, you 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, you have had to figure things out from scratch before and thrived 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 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). We move quickly and value tight feedback loops across deployment, product, engineering, and customers.

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