Technical Program Manager, Capture

Kindredventures; Toronto; On-site; CAD 85,000 - 120,000; Full time

Job summary

Mecka AI is building the data infrastructure layer for robotics and embodied AI. You will turn data requirements into capture programs that work across devices, operators, and locations, leading the execution that expands real-world data collection while meeting strict quality and delivery standards.

You will validate pilots, understand what makes output usable, and build scalable plans as operations grow. This role requires strong scheduling, cross-team collaboration, and data-quality acumen.

Qualifications

• Experience delivering technical programs that combine hardware, software, and field operations.
• Ability to build practical schedules, map dependencies, and resolve technical blockers across teams.
• Understanding of sensor data, calibration, synchronization, and common recording failures.
• Skill in analyzing throughput, quality, capacity, and cost using spreadsheets, queries, or scripts.
• Ability to inspect recordings and diagnostic logs, ask precise engineering questions, and verify that a fix works.
• Clear written communication, including operating procedures, technical decisions, and realistic delivery forecasts.

Responsibilities

• Turn dataset requirements into capture programs with clear quality standards, capacity plans, and delivery milestones.
• Coordinate device availability, operator training, recording capacity, and data review across a program.
• Plan and validate pilot captures before expanding operations.
• Investigate data-quality issues with engineering and operations teams, and verify that corrective actions work.
• Use measured capacity and data acceptance rates to forecast delivery, identify risks, and adjust the plan.

Job description

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

The Role
You'll turn data requirements into capture programs that work across devices, operators, and locations. You will lead the execution that lets Mecka expand real-world data collection while meeting demanding standards for quality and delivery. The role connects engineering decisions to the realities of recording in the field. That means validating pilots, understanding what makes output usable, and building plans that hold up as operations grow.

What You'll Do

• Turn dataset requirements into capture programs with clear quality standards, capacity plans, and delivery milestones.

• Coordinate device availability, operator training, recording capacity, and data review across a program.

• Plan and validate pilot captures before expanding operations.

• Investigate data-quality issues with engineering and operations teams, and verify that corrective actions work.

• Use measured capacity and data acceptance rates to forecast delivery, identify risks, and adjust the plan.

What You Bring
Must-have:

• Experience delivering technical programs that combine hardware, software, and field operations.

• Ability to build practical schedules, map dependencies, and resolve technical blockers across teams.

• Understanding of sensor data, calibration, synchronization, and common recording failures.

• Skill in analyzing throughput, quality, capacity, and cost using spreadsheets, queries, or scripts.

• Ability to inspect recordings and diagnostic logs, ask precise engineering questions, and verify that a fix works.

• Clear written communication, including operating procedures, technical decisions, and realistic delivery forecasts.

Nice-to-have:

• Experience with robotics datasets or recording programs involving several sensor types.

• Experience improving operator workflows or automating data-quality checks.

A Note on Applying

Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka

We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.

Use of Artificial Intelligence in Recruitment

Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.