Technical Product Manager
About The Position
Bobyard Construction is a $2T industry running on PDFs, rulers, and 1990s software. The biggest choke point is the cost estimate. Takeoffs are manual, slow, and one mistake blows millions. We use computer vision and NLP to read drawings like an expert estimator, 10x faster and with fewer mistakes. We're backed by 8VC, Primary, and Pear. About the role 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."
Requirements
- 4+ years in product, with real ownership of a model-powered feature (not just "worked with" a data science team)
- Fluent in model evaluation — precision, recall, false positive/negative tradeoffs, without needing it explained
- Has shipped 0-to-1 or a major iteration on an ML/CV-driven product in B2B SaaS
- Comfortable being the last line of defense on "will this model actually work" for customers and execs
- Fast learner — no construction background required, but you'll need to be dangerous in it within 30 days
- Ships fast, iterates in public, doesn't hide behind process
Nice To Haves
- Prior experience specifically in computer vision (vs. NLP/LLM-only)
- 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
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 argue with the CV engineers, not just relay their conclusions
- Make and defend accuracy/speed/cost tradeoffs — in the room with engineering, and directly with customers
- Build and maintain eval sets that keep the team honest about model performance
- Turn ambiguous customer complaints ("it missed something") into a specific, testable model or UX fix
- Work daily with our CV and ML engineers as a peer who understands the model, not a translator layer
Benefits
- $160K–$180K base + equity
- Full-time, in-person in San Francisco — we build together
- variable pay tied to performance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
