Founding Product Manager

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 Product Manager to own product discovery, roadmap, and customer implementation for Hyperscale. You will be part of the pod we send to customer sites: sitting alongside the Sales Engineer and Account Executive, running discovery sessions, converting customer insights into product direction, and managing ongoing implementation relationships through go-live and beyond.

This is not a spec-writing role at a large company. The person who thrives here is low-ego, high-agency, and genuinely excited to be in the room with customers figuring things out in real time. Much of this role involves thinking critically about how to use AI to automate what a traditional PM does: discovery synthesis, spec writing, implementation tracking, and beyond. That requires real depth in both product and engineering, which is why we are looking specifically for engineers who have made the transition into product. You will report directly to the CTO and be one of the most important hires we make this year.

What You'll Do

Product Discovery and Roadmap

Travel on-site with the customer pod to conduct workflow discovery with dispatchers, drivers, and operations teams

Mine customer conversations for product insights and unmet needs

Convert field learnings into a clear, prioritized roadmap that engineering can build against

Advocate for the roadmap internally and make the case for what to build next and why

Write product specs that give engineers exactly what they need without over-engineering the process

Customer Engagement and Implementation

Run ongoing meetings with customers to update them on implementation progress and product developments

Iterate directly with customers on specific features: scope, validate, and refine in real time

Manage the customer relationship from post-sale through go-live and expansion

Identify gaps between what customers need and what the product currently does, and close them quickly

Work closely with the Sales Engineer and Account Executive as part of a coordinated customer pod

Partner with engineering to scope builds, set timelines, and unblock delivery

Scaling the Function

Bring the voice of the customer into every product and engineering discussion

Help define the go-to-market motion as we scale from a handful of marquee customers to a repeatable sales process

Build the AI workflows that automate and scale the PM function

What Success Looks Like (First 90 Days)

A working roadmap that reflects real customer needs and has buy-in from engineering

Running customer implementation meetings independently with minimal founder involvement

At least one feature shipped that came directly from something you heard in the field

Engineering and sales both trust you as the connective tissue between them and the customer

Who You Are

Started as a software engineer and transitioned into product: you bring real engineering depth, not just technical familiarity

Actively thinks about how to use AI to automate the PM function itself, not just the products you build

5+ years of experience across engineering and product, including 2+ in a product management role, ideally including time at an early-stage company

Founding PM mentality: you write specs AND take customer calls AND figure out what nobody told you to do

Highly comfortable talking to customers, including non-technical operators and executives

Strong product intuition: you can walk out of a customer conversation with a clear point of view on what to build

Technical enough to work credibly with engineers and understand integration complexity

Low ego and high adaptability: you do not need a defined process to be effective

Willing and excited to travel on-site to customer locations

Ready to reshape what you do and how you do it as AI redefines what's possible

Nice to Have

Background in logistics, trucking, fleet management, or supply chain software (Samsara, Motive, Flexport, or similar)

Familiarity with TMS platforms (McLeod, TMW, Omnitracs), ELD systems, or dispatch software

Prior experience with AI/ML products, e specially conversational AI or agent-based systems

Experience in professional services, implementation, or customer success engineering

Why Hyperscale

Real product in production with major US fleets, not a prototype

Clear ROI and strong metrics already proven in the field

Direct access to the engineering team and real influence over product direction

Opportunity to define the product management function from scratch

Path to leadership as we scale

Work on genuinely hard AI problems in a massive, underserved industry