Senior Manager, Data Science and Machine Learning (AI)

Location: New York City, New York; hybrid work from the NYC office 3 days per week

Salary: $223,000–$358,800 USD cash compensation

Company

Design-driven software platform helping entrepreneurs build brands and businesses online through products for websites, payments, scheduling, audience building, and business growth.

What you will do

• Lead and develop a team of 12 data scientists and ML engineers, including three managers.
• Set the technical and strategic direction for predictive modeling, causal inference, and AI evaluation.
• Apply data science to marketing measurement, sales growth, product optimization, customer support allocation, and risk and credit modeling.
• Partner with product, engineering, analytics, and business leaders to turn statistical and ML work into customer and business outcomes.
• Build systems, processes, team structures, and technical standards that improve data science delivery.
• Evolve ML infrastructure and tooling as AI capabilities grow.

Requirements

• 12+ years of experience in data science or machine learning.
• 5+ years managing managers and developing senior individual contributors and team leads.
• Experience leading technical teams through complex, high-stakes projects.
• Hands-on experience building or overseeing production predictive models, causal inference frameworks, or AI evaluation systems.
• Ability to align product, engineering, and business partners around roadmaps and explain technical trade-offs to executives.
• Experience scaling a data science or ML function through team structure, hiring, and technical standards.

Nice to have

• Experience with LLM evaluation harnesses, golden sets, and LLM-as-judge methods.
• Familiarity with prompt and model lifecycle management in production.
• Experience designing human-in-the-loop review for AI-driven features.
• Background in marketing science, experimentation, or credit and risk modeling.

Culture & Benefits

• Medical, dental, and vision plans, including an option for fully covered premiums.
• Retirement benefits with employer matching, flexible paid time off, and paid parental and family care leave.
• Education reimbursement, fertility and adoption benefits, life and disability insurance, and employee assistance support.
• Employee resource groups, donation matching, and twice-yearly hack weeks.
• Dog-friendly workplace with free lunch, snacks, and a private rooftop.