Data Delivery Lead

10 hours ago

Winnipeg, Manitoba, Canada Mecka AI Full-time
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.

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 Own the last mile of Mecka's business We're hiring a

Data Delivery Lead

to turn our raw captured, labeled, and validated data into the exact deliverable a frontier robotics lab pays for — assembled correctly, validated ruthlessly, and documented clearly.

This is a hands‑on, data‑native role.

You come from a data analytics or data engineering background and are fluent in SQL and working with large, messy datasets. You'll live at the seam between our internal data systems and our customers' specs: translating what a lab asks for into concrete queries and quality gates, pulling and packaging the final cut, running it through validation before anyone else sees it, and producing the reports and catalogs that ship alongside it.

You make sure that when a deliverable leaves Mecka, it is exactly right — and that we are our own strictest customer long before the actual customer opens the box.

The role blends

deep data analysis

with

technical delivery ownership.

You won't necessarily write production pipelines day‑to‑day, but you'll understand our data stack well enough to direct engineering, query it directly, and catch problems no dashboard would surface.

RESPONSIBILITIES Deliverable assembly & export

Pull the final delivery cut from our internal data systems (document and columnar databases, and file stores)

Format data to each customer's schema; generate manifests, indexes, and packaging

Stage and hand off deliveries to customer buckets and cloud storage reliably and reproducibly

Own the mechanics of the drop end‑to‑end, so nothing ships half‑assembled

Delivery QA & validation — the strictest‑customer bar

Run every deliverable through Mecka's ship‑gates before it goes out

Design and execute validation: coverage stats, stratified sample audits, schema compliance, quality‑drift detection

Set an internal acceptance bar higher than the customer's own QC — catch it here, never there

Build and maintain golden reference sets and repeatable checks so quality is measured, not assumed

Spec translation

Turn a customer's data specification into concrete, testable gates and queries

Translate back into what capture, labeling, and CV operations must actually produce to hit that spec

Serve as the technical interpreter between customer requirements and internal execution

Customer‑facing delivery artifacts

Produce delivery reports, data catalogs, sample packs, and schema documentation that accompany each drop

Keep a canonical "our strongest work, today" reference pack always current

Make the quality and shape of the data legible to a technical customer at a glance

Throughput & delivery management

Track delivery performance against timelines and SLAs; ensure they're consistently met

Identify bo