Technical Product Manager

• 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

• 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

• 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

We pay to win. 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. Individual compensation is determined by role, experience, and contribution, at Bobyard's discretion.