Head of AI and ML
Core
Decides with evidence whether AI systems work, how well, for whom, and at what cost; owns evaluation science, predictive/decision models, and experiment design for shared agents.
Role type
Head of AI/ML R&D (Hands-on IC with team leadership)
Builds
Production ML models, evaluation harnesses, and experiment designs for churn, demand, payment recovery, and fraud agents.
Domain
SaaS / Payments / Financial Services
Deliverable
production ML models
Required skills
Experimental design, causal inference, statistical analysis, Python, SQL, LLM/agentic system development, model evaluation, cost optimization, team leadership
Preferred skills
Churn/retention/propensity modeling, payments ML, model distillation, LLM-as-judge, Snowflake, feature stores, model monitoring, AI governance frameworks
Technologies
Python, SQL, LLMs, agent frameworks, Snowflake, Datadog, OpenTelemetry
Responsibilities
Set enterprise evaluation methodology and quality signals; build and deploy predictive models for business pods; optimize model economics (cost/latency/accuracy); prototype AI-native techniques; lead data science for Data-as-a-Service; raise ML fluency across the R&D organization
Seniority
Senior/Principal, hands-on IC with team leadership
