THE ROLEOwn the last mile of Mecka's businessWe'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.
RESPONSIBILITIESDeliverable 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 AREREQUIRED 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
- Strong intuition for prioritization and tradeoffs between speed, quality, and cost
YOU ARE- Rigorous and detail-obsessed - you find the error before the customer does
- Structured in your thinking but flexible in execution
- Comfortable operating in ambiguity and fast-changing environments
- Data-native - your instinct is to measure, not assume
- Calm under pressure, able to run multiple deliveries in parallel without dropping quality
WHY THIS ROLE- Own the last mile that every customer relationship ultimately depends on
- Sit at the intersection of data engineering, operations, and customer delivery
- Directly shape how Mecka defines and defends "gold-standard" data quality
- High visibility and direct exposure to leadership and customers
- Build the systems that let Mecka's delivery scale globally
