Percepta is a General Catalyst transformation company helping critical institutions actualize AI transformation. Backed by Techstars.
About the role
We're hiring one of the founding members of Percepta's data team — a role that lives across the full spectrum from data engineering to data science to ML engineering. You won't be boxed into one of those; the best person here has a center of gravity in one and real range across the others. Be the data person. Build the pipelines, models, analysis, "data packs," and ontology that turn messy enterprise data into something AI can actually use — and do it fast, inside real customer environments.
What they're looking for
- Strong experience around some combination of Data Science, Data Engineering, Machine Learning
- A product instinct for the second half of the job — you want to build the thing that makes the work easier, not just do the work
- Intuition for what modern AI/ML and LLM systems actually need from data (features, retrieval, context, embeddings)
- High ownership and strong communication — you're comfortable embedded directly with customer teams
More about this role
Percepta’s mission is to transform critical institutions with applied AI. We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology.
To make that happen, we embed with industry-leading customers to drive AI transformation. We bring together :
Forward-deployed expertise in engineering, product, and research
Mosaic, our in-house toolkit for rapidly deploying agentic workflows
Strategic partnerships with Anthropic, McKinsey, AWS, companies within the General Catalyst portfolio, and more
Our team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives.
Percepta is a direct partnership with General Catalyst, a global transformation and investment company.
We're hiring one of the founding members of Percepta's data team — a role that lives across the full spectrum from data engineering to data science to ML engineering. You won't be boxed into one of those; the best person here has a center of gravity in one and real range across the others.
Be the data person. Build the pipelines, models,...
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