Senior Engineering Manager, Machine Learning

📋 Description Lead and grow the ML Engineering team. Hire, coach, and develop ML engineers. Set clear ownership Set the strategy and roadmap. Turn ambiguous company priorities into a focused, multi-quarter ML Raise the production engineering bar. Models and agents ship as dependable software: clear APIs Build the ML operating model. Establish shared approaches to evaluation, golden sets, training-data Advance core product intelligence. Guide systems for classification, information extraction, entity Launch new AI and fraud products. Partner with Product, Security, Operations, and go-to-market 🎯 Requirements 10+ years building software and machine learning or AI systems, with a clear progression in scope 3+ years managing ML or software engineers, including hiring and developing senior and staff-level A strong software-engineering foundation and a record of shipping ML systems that run in production. Technical depth across the ML lifecycle: data and labeling, experimentation, model selection Sound judgment across classical ML, deep learning, LLMs, rules, and conventional software. Experience setting direction for NLP, classification, extraction, entity resolution, risk, fraud 🎁 Benefits A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy