🕒 January 8
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• Own model evaluation and quality standards • Take full ownership of all evaluation systems, validation sets and quality metrics • Establish and maintain “golden sets” for every product as the source of truth for quality and accuracy • Drive measurable accuracy improvements • Lead accuracy initiatives across all products, improving precision, recall, and overall model performance • Define and track AI performance metrics and client SLAs as we scale • Automate quality workflows • Identify manual QA and data entry processes and redesign them through automation • Reduce human intervention by increasing model confidence, reliability, and repeatability • Build scalable evaluation pipelines • Create repeatable processes to evaluate pilots and active customers quickly • Ensure accuracy metrics remain high as customer volume and product surface area grow • Close the real-world feedback loop • Capture and analyze real-world model errors • Prioritize accuracy issues and partner with Engineering to drive continuous model improvement
• Strong analytical foundation • Hypothesis-driven problem solver with deep comfort in data analysis and metrics • Understands statistical significance and how to curate representative validation datasets • Bias toward execution and ownership • Thrives in ambiguity and moves quickly from problem to solution • Comfortable owning outcomes end-to-end and delivering results without perfect information • Technical fluency (without needing to code) • Understands data pipelines, model behavior, and ML workflows • Can scope issues clearly and collaborate effectively with engineers • Proficient in SQL • Early adopter of vibe-coding tools • AI-native mindset • Learns and adopts new AI tools quickly • Continuously improves workflows to maximize automation and leverage model capabilities • Clear communicator and influencer • Translates complex accuracy metrics into clear, actionable insights • Aligns Product, Engineering, and Go-To-Market teams around quality standards and priorities
• Help define the future of AI Copilots in a huge market ripe for transformation • Massive ownership and impact as an early team member • Work with high-agency teammates and major enterprise customers
Apply Now🕒 January 8
Product Manager overseeing digital product lifecycle with a focus on regulated industries. Leading project execution and stakeholder collaboration to ensure operational excellence.
🇺🇸 United States – Remote
💵 $140k - $160k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
✅ Product Manager
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