Product Manager, Data Engine

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.

We're hiring a Product Manager, Data Engine to own our deployment platform. The core of it is the data engine: everything that turns what happens in the field into training signal our models can learn from. It is the highest-leverage system we have for how fast our robots improve.

The same role owns the tooling built around it, both the tools our field teams and customers use to run robots at their sites and the internal platform our research, engineering, and operations teams work in every day. At Dyna, internal tools are core products, and you'll own their roadmap and quality bar. Together, this is what turns working robots into a working fleet.

• Own the tools that run robots on the floor. Setup, monitoring, evals, intervention, and escalation, used mid-shift by people with no technical background and no time to spare. That constraint shapes every decision in this area.

• Own the customer-facing view. Decide what customers need to see to trust robots running in their business, which internal surfaces are on a path to them, and what has to change before they get there.

• Spend real time on site. Watch robots fail and operators work. What a hotel GM needs in order to trust a robot on their floor is different from what our field team needs in order to fix one, and the requirements that matter most here are the ones nobody files a ticket about.

• 4+ years of product management experience owning labeling, annotation, or training data pipelines for ML systems end to end, from what gets captured through to what a model trains on.

• Familiarity with ML infrastructure and how training pipelines consume the data you produce.

• Experience designing and building tooling from scratch, both for technical users and for non-technical people doing time-sensitive work in real sites.

• Comfort with systems that fail in physical ways. Robots break, sites are messy, and problems are rarely reproducible from a laptop.

• Willingness to travel to customer sites regularly, and to be genuinely useful when you're there.

• Experience labeling video, multimodal, or time-series data rather than only images or text.

• Background in robotics, autonomous vehicles, drones, or other fleet operations, particularly labeling perception or behavior data.

• Experience with human-in-the-loop systems, teleoperation, or remote assistance products.

• Experience with deployed hardware in customer environments and the operational reality that comes with it.

• Experience with multi-site robot deployments.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.

Don’t let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you’re passionate about the intersection of data and robotics, we want to hear from you – even if you don't check every box.