Marketing Measurement & Experimentation Analyst

San Francisco, CA

• On-site
• Full-time Compensation: $70,000–$100,000 + competitive equity
  
  
  

About The Company

A venture-backed (Series A) AI startup rebuilding claims processing for the insurance industry, with the ambition to process every claim in the world. The team sells into large, established insurers where claims are treated as a cost center — senior buyers, long enterprise sales cycles, and trust as the currency that moves deals. The company is oriented around outcomes over activity and is building its marketing function from the ground up.

Founded 2025

• 11–50 people
• Industry: FinTech / Insurance
  
  
  

The Role

This is a role for someone who is rigorously analytical first and a marketer second. You will build the measurement system that the growth function runs on and be honest about what the data does and does not tell us. The role owns measurement and experimentation first, with some channel execution expected.

What You'll Be Doing

• Build and maintain marketing measurement infrastructure: UTM tracking, CRM source tagging, pipeline attribution, and channel reporting
• Design experiments across channels with clear hypotheses, controlled setups, and honest readouts regardless of outcome
• Report on marketing performance with intellectual honesty — what is working, what is not, and what cannot yet be concluded
• Analyze campaign and events data to surface insights that inform budget allocation and channel prioritization
• Support channel execution (e.g. LinkedIn campaign setup) as the operational deployment layer
• Define and standardize funnel metrics so marketing, sales, and leadership work from the same definitions
• Identify gaps in measurement before more money is spent on channels that can't yet be evaluated
  
  
  

Tech stack: Marketing analytics tools, CRM platforms, UTM tracking, pipeline attribution tooling

Requirements

• 0-3 years analytical role

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• Measurement infrastructure: UTMs, CRM, attribution
• Clean experimentation design
• Intellectually honest reporting
• Clear communicator to non-technical audiences
• SF 5 days, 9 to 9 in-person
  
  
  

Green Flags

• Strong analytical foundation with demonstrated rigor on small datasets. Can draw clean conclusions when data is thin.
• Intellectually honest: shows track record of reporting null results, ambiguity, and "we can't yet conclude" without overstating confidence
• Built measurement infrastructure from scratch in a prior role or strong personal project (UTMs, attribution, funnel definitions)
• Clear written and verbal communicator: can explain what data shows and does not show to a non-technical audience
• Excited about a small startup and a 9-to-9 5-day in-person commitment
  
  

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Red Flags

• Big-company background without startup adaptation signal
• Storyteller before analyst: starts with the conclusion and finds data to support it
• Marketing operator without analytical rigor: heavy on channel execution, light on measurement chops
• Overstates confidence when data is thin
• Wants 9-to-5 or work-life-balance-first role
• Cannot work in-person 5 days a week in SF (relocation assistance available, so geography is not the blocker)
  
  
  

Why Join

• First analytical hire building the growth function's measurement system from scratch
• High-ownership seat defining funnel metrics, attribution, and reporting standards
• Competitive equity at a fast-moving, outcome-driven Series A company