Bobyard

Bobyard

Technical Product Manager

San Francisco · Full-time

Sponsorship not specified$160k-$180kDetected 9 days ago
Machine LearningData ScienceNLPComputer VisionLLMsFigma

About the role

  • Read eval reports and confusion matrices well enough to argue with the CV engineers, not just relay their conclusions
  • not writing specs and handing them off, but being the person engineering and customers both come to when the question is "why did the model do that, and what do we do about it."

Responsibilities

  • Own the roadmap for a model-powered product surface, from customer problem to shipped feature
  • Build and maintain eval sets that keep the team honest about model performance
  • Full-time, in-person in San Francisco - we build together
  • Bobyard targets competitive top-of-market compensation because we hire people who ship and drive real impact - and we aim to reward that, including through variable pay tied to performance.

Requirements

  • 4+ years in product, with real ownership of a model-powered feature (not just "worked with" a data science team)
  • Fast learner - no construction background required, but you'll need to be dangerous in it within 30 days

Nice to have

  • Background at a company like Scale AI, Labelbox, Samsara, Matterport, Cape Analytics, or DroneDeploy
  • Comfortable in Figma and reading code, even if you don't ship it

Compensation

  • Bobyard targets competitive top-of-market compensation because we hire people who ship and drive real impact — and we aim to reward that, including through variable pay tied to performance.

Benefits

  • $160K-$180K base + equity
  • We use computer vision and NLP to read drawings like an expert estimator, 10x faster and with fewer mistakes.

Company info

  • Make and defend accuracy/speed/cost tradeoffs - in the room with engineering, and directly with customers
  • You'll own a model-powered product surface end to end: not writing specs and handing them off, but being the person engineering and customers both come to when the question is "why did the model do that, and what do we do about it."

This listing is sourced directly from Bobyard's careers page and normalized into a canonical job model.