About the role
Model providers change prices, add cache tiers, introduce batch discounts and retire models with little notice. The PALM SOUQ LLM Price Index tracks list prices for input, output, cached input and cache writes across more than 30 models, and every cost figure in our product depends on it being correct. When a price moves, our customers' gross margin reports move with it.
In this role you will keep that dataset accurate and turn it into research that founders and finance leaders use to price their own products. You will work directly with Ananya Iyer, our Head of FinOps Research, and with the engineers who build the metering pipeline.
What you will do
- Monitor provider pricing pages, changelogs and API documentation, and update the Price Index within one business day of a change, with the source recorded.
- Build and maintain margin models: cost per conversation, cost per agent run, cache hit economics, and the arithmetic behind the runaway cost calculator.
- Write FinOps guides and model cost guides that show every number and every formula, so readers can check our work.
- Partner with customer engineering to help customers design token-based tiers and usage overages that protect gross margin.
- Run quarterly reviews of how PALM SOUQ computes cost for each provider, including rounding, cache accounting and batch pricing.
What we are looking for
- 2+ years in FP&A, SaaS finance, pricing, consulting or a quantitative research role.
- Strong spreadsheet and SQL skills, and the habit of showing your arithmetic.
- Working understanding of how LLM APIs are priced: tokens, context windows, caching and batch discounts.
- Clear writing for a technical and financial audience.
Nice to have
- CA, CFA or an equivalent qualification.
- Python or another scripting language for data collection and checks.
- Experience with usage-based or hybrid SaaS pricing.
If you meet most of the first list and none of the second, please apply anyway.
Your first 90 days
Days 1 to 30
Learn the pricing registry, review every model entry against its provider source, and publish one corrected or expanded entry.
Days 31 to 60
Write a FinOps guide with full worked arithmetic on cache economics for one provider family.
Days 61 to 90
Own the monthly price change review and present it to the company.
Interview process
| # | Stage | What happens |
|---|---|---|
| 1 | Intro call (30 min) | With Ananya Iyer, Head of FinOps Research. |
| 2 | Case exercise (paid, 3 hours) | Given a SaaS plan and its token usage, compute gross margin per tenant and propose a tier change. |
| 3 | Review conversation (60 min) | Talk us through your numbers and the assumptions you made. |
| 4 | Team and values (45 min) | Meet an engineer from the metering team and a customer engineer. |
Need an adjustment for any stage, such as extra time or a different format? Tell us in your application or at careers@palmsouqltd.com.