Model-Powered Product Lead (CV/ML) - B2B SaaS

Bobyard

San Francisco (CA)

On-site

USD 160,000 - 180,000

Full time

14 days+
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Job summary

Bobyard is building a model-powered estimation platform in San Francisco. You will own the product surface end to end, from customer problem to shipped feature, and serve as the point of contact for engineering and customers on why the model behaves as it does.

You will read eval reports and confusion matrices, defend tradeoffs, and turn ambiguous customer feedback into concrete model or UX improvements. Daily collaboration with CV and ML engineers is required.

Qualifications

  • 4+ years in product with ownership of a model-powered feature.
  • Fluent in model evaluation — precision, recall, false positives/negatives.
  • Shipping 0-to-1 or major ML/CV-driven iteration in B2B SaaS.
  • Comfortable being the last line of defense on “will this model actually work” for customers and execs.
  • Fast learner — capable to pick up construction domain within 30 days.
  • Ships fast, iterates in public, avoids unnecessary process.

Responsibilities

  • Own the roadmap for a model-powered product surface, from customer problem to shipped feature.
  • Read eval reports and confusion matrices well enough to challenge CV engineers, not just relay conclusions.
  • Make and defend accuracy, speed, and cost tradeoffs with engineers and customers.
  • Build and maintain eval sets that keep the team honest about model performance.
  • Turn ambiguous customer complaints into specific, testable model or UX fixes.
  • Work daily with CV and ML engineers as a peer who understands the model.

Tools

Figma

Job description

Bobyard is building a model-powered estimation platform in San Francisco. You will own the product surface end to end, from customer problem to shipped feature, and serve as the point of contact for engineering and customers on why the model behaves as it does.

You will read eval reports and confusion matrices, defend tradeoffs, and turn ambiguous customer feedback into concrete model or UX improvements. Daily collaboration with CV and ML engineers is required.

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