---
title: 'Product Manager, Data Engine at Dyna Robotics'
canonical: 'https://feeny.ai/job/product-manager-data-engine-dyna-robotics-redwood-city-k3w3we7tktyy'
type: 'job'
last_seen: '2026-09-06'
---

# Product Manager, Data Engine at Dyna Robotics

- **Company:** Dyna Robotics
- **Location:** Redwood City, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-11
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/dyna-robotics/7ba3c6ed-36bf-4678-a7a8-029ac106827f

## Job description

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.

## The role

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.

## WHAT YOU'LL DO

The Data Engine

- Decide what we capture. Define what every robot logs and what an episode has to contain for someone to diagnose a failure, then get it instrumented across the fleet.
- Own the labeling schema. This is how we describe what robots do and what goes wrong, and it is where the job starts. A schema that matched the field six months ago won't match it today, and a pipeline running at high coverage against a stale schema is worse than useless because it looks healthy. You own the definitions, the audits, and the call on when it has to change.
- Own the quality bar. Define how label quality is measured and audited, whether the work happens in-house or with vendors, and hold the line when coverage and quality pull against each other. That includes knowing where model-assisted labeling helps and where it quietly degrades quality while the coverage numbers look fine.
- Own the rest of the loop. Episode and telemetry capture, annotation pipelines, model-behavior observability, and remote teleoperation for capturing recovery and intervention data. This is the loop that makes each deployment better than the last.

Internal platform

- Own the tools our own teams live in. Labeling and visualization systems, model evaluation tooling, and task management, used daily by researchers, engineers, and operations.
- Design for technical, opinionated users. They want speed and direct access rather than guardrails, and they'll route around anything that slows them down. Own the UX and not just the capability: find the pain points these teams have stopped complaining about, and make them measurably faster.

Operator experience

- 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.

## WHAT YOU'LL BRING

- 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.

## BONUS POINTS FOR

- 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 robotics, no matter your discipline, we want to hear from you, even if you don't check every box.

## About Dyna Robotics

## Company Overview
- **One-liner**: Dyna Robotics builds general-purpose commercial robots powered by proprietary embodied AI foundation models that achieve human-level dexterity and self-improvement across diverse real-world environments.
- **Entity Type**: Private (Series A)
- **Headquarters**: Redwood City, California, United States
- **Founded**: 2024
- **Founders**: Lindon Gao (CEO), York Yang (Co‑founder), Jason Ma (Co‑founder / former DeepMind research scientist)

## Core Business
- **Primary industry**: Robotics / Artificial Intelligence (embodied AI foundation models)
- **Target customers**: B2B – enterprises in manufacturing, logistics, laundry, food service, hospitality, and other industries requiring repetitive manipulation tasks
- **Mission statement**: “To empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Driving the future of general‑purpose robotics—one manipulation skill at a time.” [builtin.com](https://builtin.com/company/dyna-robotics)

## Products & Services
- **DYNA‑1 Foundation Model** – A single‑weight, general‑purpose vision‑language‑action (VLA) model that achieves 99%+ success rates in 24‑hour non‑stop operation. It generalizes zero‑shot to unseen environments and learns new skills within hours. [dyna.co](https://www.dyna.co/)
- **DYNA‑1i: Open‑World Dexterity** – Production‑grade manipulation system with real‑time self‑correction and human‑level dexterity at commercial throughput. [dyna.co](https://www.dyna.co/)
- **Factory Automation** – 24/7 autonomous operation for precision manufacturing, kitting, assembly, pick‑and‑place, quality inspection, and packaging.
- **Laundry & Garment** – Automated folding and garment handling (e.g., DYNA‑1 folds 40+ shirts per hour).
- **Food & Hospitality** – Food service automation including napkin folding, plating, and delicate manipulation tasks.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metrics**:
  - **Total Funding**: $143.5 M (Seed $23.5 M in March 2025; Series A $120 M in September 2025) [prnewswire.com](https://www.prnewswire.com/news-releases/dyna-robotics-raises-120-million-to-advance-robotic-foundation-models-on-the-path-to-physical-artificial-general-intelligence-302556817.html)
  - **Employees**: 98 (as of mid‑2025), +213.9% YoY headcount growth [linkedin.com](https://www.linkedin.com/company/dyna-robotics)
- **Notable Investors/Partners**: CRV, RoboStrategy, First Round Capital, Salesforce Ventures, NVentures (NVIDIA), Amazon Industrial Innovation Fund, Samsung Next, LG Technology Ventures.
- **Growth Signals**:
  - Robots already deployed 16 hours/day at hotels, restaurants, laundromats, and gyms within six months of launch.
  - Strong talent influx from Tesla (14 employees), Cruise, Meta, Nuro, Amazon Lab126.
  - LinkedIn follower growth +404.3% year‑over‑year.

## Competitive Advantages
- **First general‑purpose foundation model for robotics** that works out‑of‑the‑box in new environments without custom engineering.
- **99%+ success rate** in continuous 24‑hour operation and ability to self‑improve through on‑the‑job data.
- **Rapid learning**: new skills acquired in hours, not weeks, with fleet‑wide updates.
- **Founding team** with proven exit (Caper AI sold for $350 M) and deep research pedigree (DeepMind).

## Strategic Focus
- Expand world‑class research and engineering team.
- Accelerate development of next‑generation foundation model.
- Scale commercial deployments across manufacturing, hospitality, and service industries.
- Collect high‑quality data from real‑world customers to continuously improve model generalization.

## Why Work Here
- **In‑office culture** – All employees work from physical offices in Redwood City, CA (with small satellite presence in China, Canada, Hong Kong). Strong in‑person collaboration is emphasized. [builtin.com](https://builtin.com/company/dyna-robotics)
- **Engineering‑heavy environment** – 27% of staff in technical roles, 9% in research, and 5% consulting. Recent open roles include Deployment Engineer, Research Engineer/Scientist, Full‑Stack Robotics Software Engineer, and Data Infra Engineer.
- **High growth trajectory** – Headcount nearly tripled in a year, with aggressive hiring across operations, research, and product.
- **Impactful mission** – Opportunity to work on cutting‑edge embodied AI that directly automates physical tasks, with a path toward physical AGI.
- **Competitive compensation & perks** (inferred from top VC backing and talent drawn from Big Tech).

## Sources
1. [dyna.co](https://www.dyna.co/) – Official website
2. [builtin.com](https://builtin.com/company/dyna-robotics) – Company overview, jobs, culture
3. [linkedin.com](https://www.linkedin.com/company/dyna-robotics) – Company details, funding, employee growth
4. [prnewswire.com](https://www.prnewswire.com/news-releases/dyna-robotics-raises-120-million-to-advance-robotic-foundation-models-on-the-path-to-physical-artificial-general-intelligence-302556817.html) – Series A announcement

## Other roles at Dyna Robotics

- [HR Business Partner](https://feeny.ai/job/hr-business-partner-dyna-robotics-redwood-city-xbs5vdzs7xqs) — Redwood City, CA
- [Exceptional Software Engineer](https://feeny.ai/job/exceptional-software-engineer-dyna-robotics-redwood-city-5emz05d1phvm) — Redwood City, CA
- [Video Producer & Editor](https://feeny.ai/job/video-producer-editor-dyna-robotics-redwood-city-88azpea4dg8x) — Redwood City, CA
- [Robotics Hardware Reliability Engineer](https://feeny.ai/job/robotics-hardware-reliability-engineer-dyna-robotics-redwood-city-ca3qm930xv29) — Redwood City, CA
- [Annotation Operations Manager](https://feeny.ai/job/annotation-operations-manager-dyna-robotics-redwood-city-edm60c94sdh0) — Redwood City, CA
- [Research Engineer/Scientist, Simulation](https://feeny.ai/job/research-engineer-scientist-simulation-dyna-robotics-redwood-city-kbtftjmb38vj) — Redwood City, CA
- [Applied Researcher - Deployment Intelligence & Continuous Learning](https://feeny.ai/job/applied-researcher-deployment-intelligence-continuous-learning-dyna-robotics-2vv1eskyg11k) — Redwood City, CA
- [Robot Safety Operator - Walnut Creek, CA](https://feeny.ai/job/robot-safety-operator-walnut-creek-ca-dyna-robotics-customer-site-k214rxsy0czt) — Customer Site
- [Operations Recruiter](https://feeny.ai/job/operations-recruiter-dyna-robotics-redwood-city-ygjfchdarmwj) — Redwood City, CA
- [Robot Safety Operator - San Diego](https://feeny.ai/job/robot-safety-operator-san-diego-dyna-robotics-customer-site-3rtaadtd0p57) — Customer Site