We're looking for a hands-on Data Product & Research Operations Lead to own and improve the tools and workflows used to build and maintain our entertainment industry database.
You will work closely with our developers and research team to make our internal research tools faster, more accurate, and easier to use. This includes improving AI-assisted workflows that identify and verify artists’ agents, managers, publicists, companies, territories, and contact information.
This is a hybrid role combining product management, research operations, AI evaluation, and data quality.
What You’ll Do
Own the roadmap for our research and data-management tools.
Turn researcher challenges into clear requirements for developers.
Test new tools and determine whether they improve speed and accuracy.
Identify why automated suggestions are incorrect and develop solutions.
Improve workflows for artist matching, representative discovery, roster imports, contact research, and conflicting data.
Build testing datasets and accuracy benchmarks for AI-assisted tools.
Track metrics such as suggestion accuracy, research time, manual research required, and verified updates per hour.
Gather researcher feedback and continuously optimize the review and publishing process.
Create clear rules for what can be automated, what needs human review, and what should be deferred.
What We’re Looking For
Experience in product management, product operations, data operations, research operations, or a similar role.
Experience working directly with software developers.
Strong understanding of data quality and complex research workflows.
Experience testing or managing AI-assisted, search, extraction, recommendation, or internal workflow tools.
Ability to turn operational problems into clear product requirements.
Strong analytical skills and attention to detail.
Comfortable independently owning projects in a remote environment.
Helpful Experience
Knowledge graphs, entity matching, contact databases, content catalogs, or metadata.
Entertainment, music, media intelligence, or talent representation.
AI evaluation, human-review systems, product analytics, SQL, or dashboards.
You should be technically comfortable and able to communicate clearly with both developers and nontechnical team members.
