Who are we?

Antioch is the simulation platform for physical AI. We allow teams to develop, evaluate, and generate synthetic data for their physical systems in high-fidelity cloud simulation, accelerated by 3D-native agents.

With Antioch, teams create precision-calibrated digital twins, generate testing environments, and run massively parallel simulation scenarios. By moving development out of the field and into software, Antioch drastically reduces dependence on expensive, slow, and incomplete real-world testing.

We work with leading robotics, autonomy, and perception teams to make the deployment of physical autonomous systems safer, faster, and more cost-effective.

Who are we looking for?

We're hiring a Deployment Strategist to turn closed deals into successful, expanding customers.

This is an early, high-ownership, deeply operational role at the intersection of customers, engineering, and product. You'll run deployments for leading robotics and autonomy teams, coordinate the technical work that makes them succeed, and carry what you learn back into our product direction and go-to-market. You'll spend real time onsite with customers, and real time with the founders shaping how Antioch deploys, documents, and communicates.

If you love owning customer outcomes end to end, and want to define a function rather than inherit one, you'll fit right in.

What you’ll do

Lead post-sales deployments end to end, coordinating solutions architecture with hands-on support from the wider engineering team to make sure customer implementations are delivered on-time and with high quality.

Build the deployments function from scratch: define the playbooks, processes, and tooling that will scale to future customers.

Champion the customer feedback loop: collate signal across deployments, distill it from the noise, and work with the Head of Product and CTO to ensure customer requirements drive the product roadmap.

Curate Antioch's canonical content — documentation, training videos, and pre/post-sales collateral — and feed customer insight into product marketing.

Build deep trust with customers, both personal and technical, and convince a wide range of stakeholders of Antioch's value: engineers, PMs, VPs, CTOs, executives, founders, and CEOs.

Drive continuous needs-finding: expand pilots built around a single objective into new use cases across teams and organizations, and feed those learnings back into how we run go-to-market.

Travel onsite to customers across North America, Europe, and Asia Pacific.

What we're looking for

You don't need every box checked. We're looking for strength in most of these:

Experience in a customer-facing technical role: solutions engineering, forward-deployed engineering, technical program management, technical consulting, or post-sales at a technical product company.

Real technical depth. Our customer base is exclusively technical, so we expect at least technical-PM-level fluency: you can hold your own in deeply technical conversations, code effectively with the help of AI tools, and translate fluently between our customers' engineers and our team. Engineering support is always around you, but you must earn customer trust by understanding their domain.

Exceptional communication: you can explain a complex product crisply to an engineer, a PM, and a CEO in the same forum, in writing and in person.

Serious operational chops: a track record of coordinating high-stakes, tight-timeline projects across many stakeholders and driving them to completion.

Strong product instincts: you can spot the pattern across customer conversations and turn it into a clear, prioritized requirement.

Excellent writing: documentation, training materials, and customer-facing collateral that people actually use.

Strong familiarity with statistics and machine learning to help our customers rigorously compare simulation results with real-world telemetry.

Comfort with regular travel and in-person customer work across North America, Europe, and Asia Pacific.

Nice-to-haves

Experience with robotics, autonomy, simulation, or other Physical AI domains