Strategic Finance Associate partnering with Product and Engineering on AI product economics at Glean. Owns inference pricing models, billing operations, unit economics analysis, and monetization strategy for consumption-based AI offerings. Requires strong financial modeling, data/systems comfort, and AI interest.
125k – 165k/yr
HybridFinance & Accounting
About the role
Responsibilities
Own inference pricing economics end to end: build and maintain the financial models that connect token economics, inference and compute costs, and margin to pricing, packaging, and tiering decisions across Glean’s models and consumption offerings.
Drive billing operations end to end: operate and improve the billing systems that translate pricing into invoiced revenue, ensuring provisioning, credits, overage, and reconciliation are accurate and scalable across consumption and hosted customers.
Serve as the deep-dive pricing partner on complex, technically nuanced deals, modeling specific usage and product-feature scenarios and turning that analysis into clear, opinionated recommendations.
Partner cross-functionally with Product, Engineering, and GTM to evaluate pricing and packaging changes, new model launches, and consumption-based offerings, and to ensure billing behavior stays aligned as products ship.
Analyze the drivers of unit economics and gross margin, surfacing the trends, risks, and opportunities that should inform pricing and monetization strategy.
Build the operating backbone for pricing and billing — the documentation, controls, and automation that let these systems run without depending on any one person.
Collaborate with Finance, FP&A, and Accounting counterparts to ensure pricing and billing decisions are consistent with broader financial strategy and reporting.
Requirements
Background in investment banking, private equity, management consulting, strategic finance, product finance, venture capital, or a comparably analytically rigorous role.
Strong proficiency in spreadsheet-based financial modeling, with the ability to build and maintain complex operating models from the ground up.
Demonstrated ability to take full ownership of a workstream and drive it independently from question to decision.
Comfort operating in systems and data, not just spreadsheets — you'll get into a billing configuration, a usage dashboard, or a SQL query to verify behavior rather than assume it.
The judgment and conviction to form an opinion and defend it, paired with the openness to update it as the analysis evolves.
A genuine, current interest in AI — you follow the field and have a perspective on where model and compute economics are heading.
Ability to communicate complex financial information clearly to non-finance audiences.
Nice-to-Haves
Direct experience owning pricing, packaging, or monetization strategy — setting or revising prices, designing tiering and packaging, or measuring the impact of pricing changes.
Experience with usage-based, API, or developer-platform pricing, or other consumption-based business models.
Hands-on experience with a usage-based billing platform such as Orb, Metronome, or Stripe Billing, or equivalent billing operations experience.
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