Strala — Marketing Analyst
Type: Full-time | On-site | San Francisco, CA
Compensation: $70,000–$100,000 + Competitive Equity
Hiring count: 1
Visa sponsorship: None available
Reports to: Marketing Lead
About Strala
Strala is an AI-powered insurance platform that automates the entire claims process — from intake and fraud detection to settlement — helping insurers handle claims faster, more accurately, and at lower cost. It combines automation with human expertise to act like a next-generation "AI-native" claims operator, improving loss ratios, reducing manual work, and delivering better outcomes across the claims lifecycle. The company is oriented around outcomes (not activity or output) and is rebuilding claims processing with the stated ambition to process every claim in the world.
Founded: 2025 | Team size: 11–50 | Total funding: Series A (amount not stated)
Industry: FinTech / Insurance
Website: strala.ai
Office: San Francisco, CA
Why Candidates Should Join
-
First analytical hire on a greenfield growth function: You build the measurement system the entire growth function will run on, from scratch.
-
High-ownership seat: Define funnel metrics, attribution, and reporting standards that marketing, sales, and leadership all work from.
-
Outcome-driven, high-standards culture: Series A momentum, competitive equity, and a mandate to do things the hard-but-correct way.
Intake Call Summary
- Not provided on the role page.
The Role
Strala is building a marketing function from the ground up and needs someone who rigorously tracks performance so the team can make confident decisions about what to do next. This role owns measurement and experimentation first, with some channel execution expected — rigorously analytical first, marketer second.
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 defin