Tactile Gloves Program Lead

Posted Yesterday
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Shenzhen, Guangdong, CHN
In-Office
Senior level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics
The Role
Lead the end-to-end tactile glove program from concept to volume: define product requirements and roadmap, drive design and sensor quality, manage suppliers and manufacturing ramp (EVT/DVT/PVT), establish production test/QA and calibration, and coordinate pilot deployments to validate field reliability and data quality.
Summary Generated by Built In
About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.

We design and operate hardware-enabled data capture systems and the pipelines that turn real-world signals into training data for frontier models.

Our Mission

Robotics will become the largest industry in human history — larger than anything that has come before it. As intelligent machines move into the physical world, they will dramatically expand global GDP, raise the material standard of living for everyone, and ultimately help make humanity a multiplanetary civilization. None of that happens without one thing: enormous amounts of high-quality, real-world data.

Mecka AI builds that foundation. We are the data infrastructure layer for robotics and embodied AI — the substrate that teaches machines to perceive, reason, and act in reality. Get this right, and we accelerate the most important technological transition of our time.

Our Culture
  • Excellence as the baseline. We hold an extremely high bar and expect the best work of your career. Mediocrity isn't interesting to us.

  • Highly technical. We reason from first principles, not by analogy. The best argument wins — regardless of title or tenure.

  • Truth-seeking. We are relentlessly honest with ourselves and each other. We chase reality — measured, not assumed — and kill our own bad ideas fast.

  • Maniacal urgency. The work matters and the clock is real. We move fast, ship, measure, and iterate.

  • Extreme ownership. You own outcomes end-to-end — no hand-offs, no excuses, no waiting for permission.

  • Hardcore. This is a high-intensity environment for people who want to do the defining work of their lives.

The Role

As Tactile Gloves Program Lead, you are the single owner of the tactile glove program: product definition, design ownership, execution cadence, and production outcomes.

This is a true 0→1 build role. You will take tactile gloves from concept → prototype → EVT/DVT/PVT → volume, working across industrial design, mechanical/EE/firmware, suppliers/CMs, and field ops. You are accountable for shipping a glove that is reliable, manufacturable, and produces high-quality tactile signals at scale.

What You’ll Own
  • Product requirements & roadmap: define what the glove must do (sensing, fit, comfort, durability, calibration, data quality) and the milestones to get there.

  • Design ownership: drive industrial design + mechanical architecture decisions; ensure the glove is wearable, serviceable, and scalable to manufacture.

  • Sensor stack & data quality: partner with sensing/firmware/ML teams to define the signal quality bar and the calibration + validation approach.

  • Manufacturing ramp: own supplier selection, DFM, tooling, test fixtures, yield targets, and ramp plans (EVT/DVT/PVT → production).

  • Cost and schedule: run the program like a machine — tight BOM discipline, clear decision points, aggressive iteration.

  • Reliability: make the glove survive real use (sweat, abrasion, flex, drops) and keep the signals stable across time and units.

What You’ll Do
  • Build the end-to-end program plan and run the weekly execution cadence.

  • Translate product goals into engineering workstreams with clear owners and deadlines.

  • Drive rapid prototype iterations (mechanical, sensing, packaging) and enforce learnings into the next build.

  • Own vendor + CM communications: quotes, lead times, MOQ, tooling, test plans, and escalation.

  • Stand up production test and QA: fixtures, calibration routines, acceptance criteria, and audit trails.

  • Coordinate early pilot deployments to validate real-world performance and failure modes.

You Might Be a Fit If
  • You have shipped a 0→1 hardware product through production ramp (EVT/DVT/PVT) and know what breaks in the real world.

  • You can hold the full stack: design, suppliers, schedules, manufacturing tests, and quality — not just “PM work.”

  • You’re fluent in DFM/DFT, yield, reliability, and the realities of supply chain.

  • You have strong taste for product: comfort, ergonomics, and usability matter as much as sensor performance.

Bonus
  • Experience with wearables, gloves, haptics, tactile sensors, or force/pressure sensing.

  • Experience building calibration pipelines and production test infrastructure.

  • Experience working with China-based suppliers and CMs.

Skills Required

  • Shipped a 0->1 hardware product through production ramp (EVT/DVT/PVT).
  • Ownership of design, suppliers, schedules, manufacturing tests, and quality (end-to-end program ownership).
  • Fluency in DFM/DFT, yield optimization, and reliability engineering.
  • Experience defining sensor data quality requirements and partnering with sensing/firmware/ML teams on calibration and validation.
  • Experience running vendor and CM communications: quotes, lead times, MOQ, tooling, and escalation.
  • Ability to create and stand up production test and QA: fixtures, calibration routines, acceptance criteria, and audit trails.
  • Strong product sensibility for comfort, ergonomics, usability, and serviceability.
  • Experience with manufacturing ramp plans, BOM discipline, cost and schedule management.
  • Experience with wearables, gloves, haptics, tactile/force/pressure sensors.
  • Experience building calibration pipelines and production test infrastructure.
  • Experience working with China-based suppliers and contract manufacturers (CMs).
Am I A Good Fit?
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The Company
58 Employees
Year Founded: 2024

What We Do

Mecka AI is a data and infrastructure company that provides high-quality human movement data to accelerate the development of autonomous systems for humanoid robotics. It serves as the data and deployment layer for physical AI, capturing, structuring, and evaluating real-world activity to create labeled datasets that enable robots to learn and deploy reliably in commercial settings.

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