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SieveSieveSan Francisco, CA

Research & Product Lead

Leads relationships with top AI lab customers, serving as technical contact to manage accounts, drive revenue expansion, and translate needs into engineering priorities. Requires deep ML/AI knowledge, strong networks in AI labs, and customer-facing technical experience.

Salary not listed
On-siteAccount Management

About the role

What You'll Do

  • Own and grow relationships with Sieve's top AI lab customers end-to-end, from onboarding through expansion
  • Serve as the technical point of contact, understanding customer data pipelines, model training workflows, and how Sieve's datasets fit into their stack
  • Translate customer feedback and requirements into clear internal briefs for engineering and data ops
  • Drive renewals and upsells by identifying new dataset needs and partnership opportunities within existing accounts
  • Collaborate closely with the partnerships, engineering, and data ops teams to ensure customer deliverables are met on time and at quality
  • Contribute to sales processes for new customers including demos, technical scoping, and proposal development

Requirements

  • Strong understanding of ML/AI workflows, particularly around data pipelines and model training
  • A natural relationship builder with a strong external network, especially across AI labs and frontier model companies
  • Excellent communication skills, able to translate between engineering and business audiences fluently
  • Comfortable with ambiguity and moving fast in a startup environment
  • In-person at our SF HQ

Nice to Have

  • Existing relationships at AI labs or frontier model companies
  • Background in video, media, or content-related technologies
  • Prior startup experience, especially as an early hire
  • Experience in product, technical operations, or a customer-facing technical role

Benefits

  • 401k + Full Health Insurance
  • Breakfast, Lunch, and Dinner covered and your choice of snacks
  • Ubers covered home

Skills

Machine LearningAI WorkflowsData PipelinesModel TrainingVideo DatasetsTechnical SalesCustomer OnboardingDataset Management
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