CareerPlan

Data Analytics Lead

San FranciscoFull-time2026-11-02 → 2026-11-08

Core

Define metrics, design experiments, and analyze data to measure the impact of AI agents, models, and product features on real-world client outcomes.

Role type

Senior Product Analytics Lead (AI/ML)

Builds

Dashboards, self-serve tools, and analytical frameworks for product and ML teams.

Domain

AI infrastructure, enterprise automation, probabilistic ML products

Deliverable

dashboards & analysis

Required skills

Experimental design, A/B testing, causal inference, SQL, Python, product metrics definition, root-cause analysis, statistical modeling

Preferred skills

LLMs, AI agents, generative AI, unstructured data analysis (NLP/speech), enterprise B2B products, modern analytics infrastructure

Technologies

SQL, Python, experimentation platforms, data warehouses, business intelligence tools

Responsibilities

Define and track product/agent-level metrics; Design and interpret A/B tests for model changes and workflows; Connect offline model evaluations with production performance; Build statistical models and analytical frameworks; Investigate anomalies and perform root-cause analyses; Build dashboards and self-serve tools.

Seniority

Senior, hands-on IC