Netic’s AI-driven platform helps service enterprises boost revenue, engage customers, and scale growth with intelligent automation. See how our multi-channel engine empowers your business. Backed by Greylock and Founders Fund.
About the role
You'll be Netic's first dedicated go-to-market data hire. Nobody owns our account and contact data end to end yet: you will. You'll define the data standards, build the models and checks that keep them accurate, and give the team a foundation for territories, routing, forecasting and commissions. This is an analyst role with operational ownership. You'll spend as much time writing SQL and building models as you do fixing the processes that create bad data in the first place. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 2+ years in sales operations, revenue operations, marketing operations or data analytics at a B2B company
- Strong SQL and advanced Excel or Google Sheets, Python is a plus. You're comfortable building a model or analysis from raw, messy data
- Hands-on Salesforce data experience (Data Loader, Workbench or a dedupe tool) and a solid grasp of the object model
- A detail-first mindset. You notice when a number looks off and you chase it to the root cause
- The ownership to define standards, not only follow them, and the documentation habits to make them outlast you
More about this role
Netic is the AI revenue engine for essential services who are the backbone of the American economy. With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.
You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.
You'll be Netic's first dedicated go-to-market data hire. Nobody owns our account and contact data end to end yet: you will. You'll define the data standards, build the models and checks that keep them accurate, and give the team a foundation for territories, routing, forecasting and commissions.
This is an analyst role with operational ownership. You'll spend as much time writing SQL and building models as you do fixing the processes that create bad data in the first place.
Own the GTM data model: define account, contact and hierarchy standards (parent companies, multi-location...
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