Primeintellect

Compute Finance and Strategy

San Francisco · Senior

Sponsorship not specified$200k-$300kDetected 13 days ago

Full-Stack DevelopmentDatabricksDatadogLLMsFinancial ModelingResearchLeadership

About the role

Compute is the foundational input of the AI era.
The companies, models, and capabilities that define the next decade will be shaped by who has access to compute, on what terms, at what economics, and how it gets allocated across the systems that get built on top of it.
The financial and operational architecture for an asset class of this consequence is still being built, and the playbooks for navigating it don't yet exist.

Build and own the financial models that price our compute supply: per-cluster economics, contract structures, hardware generation comparisons, geographic and provider differentials
Own margin architecture: margin by workload, customer, product, and contract, so we always know what's actually profitable and where the leverage is
Partner with leadership on the biggest decisions the company makes: which providers to commit to, which hardware generations, what geographies to lean into, how aggressively to scale
Build the financial frameworks that turn ambiguous strategic questions into decisions we can make with conviction
Own the long-range plan, scenario models, and capital allocation framework across compute, headcount, and product investment
Build the repeatable analytical process for evaluating new entrants to the global supply market
Build Prime Intellect's view of the global compute market - who's credible, who's mispriced, where supply is tightening, where the next wave of capacity is coming online
Develop the analytical basis for our market positioning: when to commit hard, when to hold flexibility, where to lean in geographically
Partner with Strategic Finance on how compute economics flow through to the company P&L
Partner with Engineering on the technical performance characteristics that drive cluster economics

4-7+ years in roles that combine financial rigor with real-world strategic or operational engagement.
AI-native in how you work: you use LLMs, automation, and programmatic tools to move faster

Direct experience modeling datacenter, colocation, cloud, or power/energy economics
Background covering AI infrastructure, cloud providers, semiconductors, or compute marketplaces from the banking, investing, or trading side
Hands-on experience with cluster benchmarking, training/inference workload economics, or compute marketplaces

Engage directly with neoclouds, hyperscalers, and emerging providers on economic and technical diligence
Run the financial side of supply qualification - what we accept, what we reject, what we negotiate harder on
Translate technical performance characteristics into commercial recommendations
Track pricing, availability, and provider dynamics continuously across every major market
Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models.

This listing is sourced directly from Primeintellect's careers page and normalized into a canonical job model.