The Role

Own the program that turns Mecka's ego-data pipeline into on-time, at-spec dataset deliveries to frontier AI labs. You will sit at the seam between our ego-data sales & delivery team and the engineering that produces the data - driving delivery execution against customer commitments while iteratively building the tooling, standards, and datasets that let us scale from bespoke drops to a repeatable delivery engine.

This is a hands-on, senior IC role. You will be equally comfortable running a delivery schedule with a demanding AI-lab customer, writing a script to reshape a dataset or query a pipeline, and defining the spec that makes the next delivery faster than the last.

What you will be doing:
• End-to-End Delivery Program Ownership: Act as the lead program owner for our highest-value ego-data deliveries. Drive cross-functional execution across Sales, Data Operations, Labeling, and Engineering to ship datasets that meet each customer's spec, volume, and timeline - owning the master delivery schedule and holding contributors accountable to it.
• Delivery Tooling & Automation: Iterate on the tooling that packages, validates, and hands off ego datasets. Prototype and build - scripts, QA checks, packaging and manifest tooling, delivery dashboards - then partner with Engineering to harden what works into durable infrastructure. Every delivery should leave the pipeline faster and more automated than it found it.
• Dataset Quality & Standards: Define and enforce the standards that make an ego dataset "delivery-ready" - completeness, metadata, taxonomy, formatting, and QA gates. Turn recurring delivery pain into reusable specs, checklists, and automated validation so quality is built in, not inspected in.
• Sales & Customer Delivery Partnership: Partner with the ego-data sales & delivery team to translate customer requirements into concrete delivery plans, and translate pipeline realities back into commitments sales can confidently make. Serve as a senior point of contact on delivery scope, status, and escalations for key AI-lab accounts.
• Metrics & Reporting: Build data-driven reporting for the delivery function - time-to-delivery, dataset volume and yield, QA pass rates, rework, and SLA adherence. Use fleet- and pipeline-level data to spot bottlenecks and quality trends before they threaten a delivery.

What you bring:
• 2-5+ years as a TPM, Technical Program/Product Lead, or Data/Delivery Operations lead - ideally in ML/AI data, robotics, or another domain shipping complex technical deliverables to sophisticated customers.
• Data Delivery Expertise: Hands-on experience taking large, complex datasets or technical deliverables from an internal pipeline to an external customer at spec and on time - with a real feel for data quality, QA, and the failure modes of a delivery pipeline.
• Hands-On Technical Acumen: Comfortable in the data yourself - querying databases (e.g., SQL, MongoDB), writing scripts (e.g., Python) to reshape, validate, or QA datasets, and prototyping tooling before handing it to Engineering to productionize. You can read a schema and a telemetry dashboard, not just a status report.
• Senior IC Leadership: Proven ability to lead by influence without direct reports - aligning sales, engineers, and operators around a single delivery schedule and holding them to it in a fast-moving, early-stage environment.
• Systems & Process Mastery: Skilled at configuring workflow and tracking systems (Jira, Asana, Linear, or similar) and building lightweight process and reporting that brings order to chaotic, high-growth scaling environments.
• Customer-Ready Communication: Able to represent Mecka credibly to technical AI-lab customers - clear on scope, status, and trade-offs - while keeping internal teams honest about what can actually ship.
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.