Data Delivery Lead

About this role

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 bottlenecks in the assembly-to-ship path and drive them out

- Ensure the delivery process scales as volume and customer count grow

CROSS-FUNCTIONAL & STAKEHOLDER EXECUTION

- Partner with data capture, labeling operations, and engineering to close spec gaps

- Own delivery communication with internal teams and external customers

- Keep timelines, risks, and deliverable status transparent to everyone who needs it

WHO YOU ARE

REQUIRED EXPERIENCE

- 1–3 years in data analytics, data engineering, analytics engineering, or a similarly data-heavy role

- Fluent in SQL; comfortable querying and reshaping large, imperfect datasets independently

- Working proficiency with a scripting language (Python preferred) for data manipulation, validation, and automation

- Solid grasp of data pipelines, schemas, and data-quality concepts

- Proven ability to own a data workflow or deliverable end-to-end

- Excellent communication and stakeholder-management abilities

STRONG SIGNALS

- Experience in fast-paced startups or high-growth environments

- Exposure to ML / AI training data, data labeling, or dataset delivery

- Experience with NoSQL / document stores and/or columnar analytics databases (e.g. ClickHouse, BigQuery, Snowflake)

- Built QA / validation tooling or data-quality checks

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