We’re looking for a Total Rewards Specialist who will take full ownership of our compensation and benefits structures to ensure Clara continues to attract and retain top‑tier talent. In this role, you won’t just manage spreadsheets; you will act as a strategic driver, leveraging AI and data‑driven insights to ensure our salary ranges are dynamically aligned with the fast‑moving tech and fintech market.
What you’ll do
- Design and evolve Clara’s regional compensation structures, equity programs, and variable incentive plans to drive high performance and internal equity.
- Own market salary alignment by leading continuous benchmarking initiatives, ensuring our salary ranges are accurately positioned against top market competitors in real time.
- Scale and automate compensation and benefits data analysis, utilizing advanced data models to replace manual tracking with scalable, automated dashboards.
- Structure and audit regional benefits programs, ensuring operational excellence, cost‑efficiency, and high value for our teams in a hybrid environment.




- Enable clarity and transparency by building simple, data‑backed documentation that helps hiring managers and leaders make swift, objective talent decisions.

Who you are
- 4+ years of experience leading compensation and benefits analysis, ideally within high‑growth tech, fintech, or fast‑paced corporate environments.
- Advanced data analysis and data modeling skills (expert spreadsheet proficiency).
- Demonstrated ability or a genuine interest in using AI tools to automate benchmarking workflows, analyze market data, or draft internal policies to increase output.
- Working proficiency in English and Spanish.
- Excellent verbal and written communication skills, with the ability to translate complex financial and compensation data into simple, digestible insights.
- Adaptability to fast‑changing, high‑growth environments and a strong sense of Ownership.

Nice to haves
- Ability to independently draw insights from data using

📌 Total Rewards Specialist (Ciudad de México)
🏢 Cacheflow
📍 Ciudad de México