Data Operations Manager

Posted 4 Days Ago
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Toronto, ON, CAN
Hybrid
100K-140K Annually
Mid level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics
The Role
Lead cross-functional execution for data labeling, data capture, and hardware deployments. Scope ambiguous problems, create execution plans, manage timelines, risks, and stakeholders, communicate status to internal teams and customers, and improve operational processes and documentation.
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 large-scale data capture, data labeling, and hardware deployment systems that generate high-quality datasets for leading AI and robotics teams. Our work spans hardware, operations, research, and customer delivery — and execution across these functions is critical.

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

We’re hiring a Data Operations Manager based in Toronto to work directly with Mecka’s founders and core teams.

This is a high-ownership operator role. You will be given ambiguous problems and expected to own them end-to-end — from scoping and coordination to execution and delivery.

At different times, this role will look like:

  • A project manager driving timelines

  • An operations lead coordinating execution

  • A point person managing internal and customer communication

The constant is ownership and follow-through.

What You’ll Work OnCross-Functional Execution
  • Own projects that cut across:

    • Data labeling operations

    • Data capture workflows

    • Hardware logistics and deployments

  • Take loosely defined tasks and turn them into clear execution plans

  • Drive work forward across multiple teams simultaneously

Project & Program Management
  • Plan timelines, milestones, and deliverables

  • Track progress, risks, and dependencies

  • Ensure projects ship on time and meet quality expectations

  • Step in to unblock teams and resolve issues as they arise

Internal & Customer Communication
  • Act as a central point of communication between:

    • Internal teams (ops, hardware, engineering, research)

    • External customers and partners

  • Provide clear updates on status, risks, and timelines

  • Ensure alignment across stakeholders

Operational Support & Process Improvement
  • Support day-to-day operations across labeling, capture, and hardware

  • Identify gaps in processes and help improve them

  • Create lightweight documentation, trackers, and workflows

  • Help founders stay out of the weeds by owning execution

Who You AreRequired Experience
  • 4+ years of experience in operations, program management, or project management

  • Experience working across multiple functions and teams

  • Strong organizational and communication skills

  • Comfort operating in fast-moving, ambiguous environments

  • Proven ability to take ownership and deliver end-to-end

You Are
  • Highly accountable and execution-driven

  • Comfortable context-switching between projects

  • Clear, concise communicator with technical and non-technical stakeholders

  • Organized without being bureaucratic

  • Able to manage both details and the big picture

Strong Plus
  • Experience in AI, robotics, hardware, or data operations

  • Familiarity with data labeling or data capture workflows

  • Experience working directly with founders or leadership

  • Experience managing external customers or partners

Why This Role
  • Work directly with founders on high-impact initiatives

  • Gain exposure across operations, hardware, data, and customer delivery

  • High autonomy and trust from day one

  • Opportunity to grow into broader leadership as the company scales

  • Direct impact on how Mecka executes and delivers for customers

Skills Required

  • 4+ years of experience in operations, program management, or project management
  • Experience working across multiple functions and teams
  • Strong organizational and communication skills
  • Comfort operating in fast-moving, ambiguous environments
  • Proven ability to take ownership and deliver end-to-end
  • Highly accountable and execution-driven
  • Able to manage both details and the big picture
  • Experience in AI, robotics, hardware, or data operations
  • Familiarity with data labeling or data capture workflows
  • Experience working directly with founders or leadership
  • Experience managing external customers or partners
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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