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
Senior IC Head of AI/ML R&D
Builds
Production ML models, evaluation harnesses, and experiment designs for churn, demand, payment recovery, fraud, and retention.
Domain
SaaS/Marketplace data at scale, AI-native tools, agentic development
Deliverable
production ML models
Required skills
experimental design, causal inference, statistical analysis, Python, SQL, LLM/agentic systems, model economics, team leadership
Preferred skills
churn/retention/propensity models, payments ML, fine-tuning/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 ship predictive models for business units; optimize model routing and cost; prototype new AI techniques; raise ML fluency across the organization
Seniority
Senior, hands-on IC with team leadership
