Remote Remote (Global) Full-time

Sumble is hiring a Data Scientist/Machine Learning Engineer

Responsibilities

  • Finetuning small language models
  • Improving the quality of existing data using scalable approaches. Examples include: making sure URLs are associated the right company, we have the correct HQ address, we have mapped parents-subsidiary using techniques like LLM validation, SERP, and triangulating across sources.
  • Adding new signals: this usually involves scrubbing, matching and normalizing new signals and matching to our existing ontology
  • Pushing solutions into production environments, which may involve touching data pipelines and/or backend systems
About company
Sumble

Sumble gives GTM teams a structured view of each target account, including teams, reporting lines, technologies, hiring activity, and buying signals, so reps know who to reach, why now, and how to personalize outreach.

It provides full account intelligence by mapping teams, technologies, and active initiatives inside organizations. This helps sales and growth teams focus on the right people with the right message based on real-time context.

Sumble is built for sales, growth, RevOps, and GTM teams that sell into technical or complex accounts and need better account research, prioritization, and outbound context.

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Job Details
Department Engineering
Category data
Posted 10 months ago