eko is an innovative e-commerce startup dedicated to empowering brands to create, display, and optimize their video assets across digital platforms.

Thanks to our groundbreaking partnership with major retailers, and our ability to demonstrably increase e-commerce sales, we recently opened a new facility focused on processing, capturing, and delivering data & media for millions of unique products annually.

Our first-of-its-kind facility opened in Northwest Arkansas in summer 2025 and is rapidly scaling to support high-volume, high-quality product media capture at unprecedented speed and scale.

Want to learn more about eko, visit eko.com

About the Role:

The Head of Data Capture will lead a growing Data Capture team across all shifts.  The role will build the systems, tools, and operating standards to extract every meaningful attribute(s) from consumer products at scale.

Using computer vision, OCR, sensors, and AI, the Data Capture team converts what shoppers want to know, but can’t see or touch into reliable, structured data. To make this possible, the Head of Data Capture will set standards, protocols, and processes for how unique product attributes are identified, measured, and captured.  The position will also ensure the accuracy and completeness of the product data capture process. 

This role requires a highly analytical and detail-oriented individual with strong spatial recognition and organizational skills. The ideal candidate not only excels in precision and structure but also provides guidance and support to the data capture team to ensure consistency, efficiency, and quality across all operations. You will define how we dimensionalize, infer materiality and construction, capture audio and performance signals and translate merchant questions into measurable specs that improve PDPs, search, and customer confidence.

What you will do:

• Define attribute frameworks by category (e.g., electronics, home, toys) with a clear merchant point of view on what customers need to know to purchase confidently.
• Author SOPs for non-visual capture: dimensional standards (ISO/retailer-specific), packaging/OCR, materials & finishes, compliance marks, care instructions, usage warnings, performance metrics.
• Maintain a source-of-truth schema aligned to retailer feeds, GS1, and internal data contracts.
• Select and operationalize sensors and rigs (dimensional scanners, scales, densitometers, audio SPL meters, torque/pull testers, colorimeters, barcode/RFID readers).
• Partner with eko’s Product team to deploy and tune computer vision and OCR pipelines (label/UPC read, panel detection, font/contrast handling, multi-language text extraction) and LLM prompts for entity normalization.
• Build,  lead, and mentor a growing team of Data Capture Leads/Associates across shifts
• Continuously refine “what matters” by product type (e.g., battery specs, wattage, fit notes, fabric blend, safety standards, country of origin, warranty terms).
• Resolve any data capture issues that arise during the shift (manage through shift Leads)
• Act as the problem resolution point for the Data Capture team.
• Maintain organization and flow within a fast-paced, hands-on environment.
• Apply analytical thinking and visual awareness to identify product nuances and ensure quality data capture.
• Have the technical ability to scale solutions to solve real world problems with dimension captures.
• Collaborate with team members to uphold high standards for data integrity and efficiency.

Our ideal candidate will have:

• 5+ years in product data/specification, test engineering, quality engineering, industrial engineering, or similar high-throughput measurement roles.
• 2+ years leading operators/leads in a factory, lab, or production setting.
• Hands-on with CV/OCR/LLM-assisted workflows (commercial or open-source) and sensor-based measurement.
• Strong analytical and spatial reasoning; comfort creating SOPs and training playbooks.

Nice to have:

• Experience with GS1/GTIN, retailer item setup, PIM/MDM, or PDP optimization.
• Exposure to ISO/ASTM measurement standards; metrology or test-lab background.

Physical Requirements:

• Ability to stand and walk for extended periods.
• Ability to lift, carry, push, and pull heavy objects frequently (up to 50 lbs).
• Ability to bend, stoop, kneel, crouch, and reach regularly.
• Visual acuity to read labels, packing slips, product literature, computer screens, and to inspect goods for defects.
• Ability to work in a warehouse environment which may include exposure to varying temperatures, dust, and noise.

Work Environment:

• Tools you will touch: computer vision/OCR tools; label/UPC scanners; calibrated scales; dimensional scanners/cubiscans; calipers; SPL meters; colorimeters; torque/pull gauges; RFID/Barcode systems; PIM/MDM; QA dashboards; workflow toolsThis position operates primarily within a factory setting
• The noise level can range from moderate to loud
• Exposure to moving mechanical parts and vehicles (e.g. forklifts, trucks)

Why Join Us?

• Be part of something groundbreaking. This is an unparalleled opportunity to support the talent function for a cutting-edge robotics studio at the forefront of innovation.
• Hyper-growth environment. You’ll play a pivotal role in shaping a company that is scaling at an exceptional pace.

Benefits

• Premium health, dental and vision insurance
• Mental Health and Wellness Resources
• Life and Disability Insurance
• Daily Shift Meal
• Flexible Time Off

Note: The essential responsibilities of this position are described under the headings above. They may be subject to change at any time due to reasonable accommodation or other reasons. This description in no way states or implies that these are the only duties to be performed by the employee occupying this position.

This position is classified as exempt and is in compliance with the Fair Labor Standards Act (FLSA) and applicable state law.

eko is proud to be an Equal Opportunity Employer. We believe our strength lies in the diversity of our people. We are committed to fostering an inclusive workplace that respects and celebrates individual backgrounds, perspectives, and contributions. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected status.