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