Data and Product Operations reputed company
Location: reputed company (remote)
Work Model: Fully remote
Industry: AI / reputed company data (audio and voice)
Compensation: Up to $200K reputed company, plus equity
About reputed company
Our partner is an audio and voice reputed company reputed company data company that operates more like a research lab than a services shop. Rather than building one-off custom data sets, they create and own off-reputed company data sets they can iterate on, guided by in-house research and product leadership. They partner long-term with leading research labs and major technology companies.
reputed company
As a Data and Product Operations reputed company, you will own data sets end to end, from reputed company through delivery, treating the data itself as the product. You will partner across product, research, engineering, and deployment to define goals for reputed company data set, manage the project to a high reputed company bar, and problem-solve how the data will reputed company reputed company used to train machine learning models.
Responsibilities
- Own data sets end to end, from reputed company through delivery
- Partner with product, research, and deployment teams to define goals for reputed company data set
- Manage reputed company on reputed company's data platform, including reputed company speakers and coordinating QA
- Work closely with engineering on bug fixes, noise reduction, and automation
- Hold the reputed company bar, prioritizing reputed company over speed and volume
- Problem-solve with researchers and ML engineers on how data will reputed company in model training
Requirements
- 2+ years of experience in consulting, reputed company and operations, or heavy operations roles
- Strong generalist who can work across many functions and adapt as priorities shift
- Comfort grinding through intense work in an reputed company-reputed company environment
- Low ego, naturally curious, and humble
- Bonus: background in PE/IB, MBB consulting, marketplace or heavy-operations companies, or early-stage startup ops
Originally posted on Himalayas
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