Artificial Intelligence

Strategic Finance Senior Associate - Compute

San Francisco, CAOnsiteFull TimeSenior$138,000–$175,000 /yrPosted 2 months ago

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Required skills

data center build-outs
capex planning
FP&A
infrastructure strategy
infrastructure engineering
hyperscaler
neocloud
colocation provider
data center developer
investment banking

Nice to have

site-level TCO
scenario analysis
distill a complex build
novel questions
established playbook
multiple workstreams

Role summary

Together AI is seeking a Strategic Finance Senior Associate to manage the financial aspects of their data center build-outs. This role involves owning cost forecasting, budget tracking, and economic evaluation of new sites. The ideal candidate will have 4+ years of experience in data center or large-scale infrastructure capex, either from an operational finance perspective (hyperscaler, colocation) or an investment side focus. Responsibilities include financial modeling, variance analysis, hardware cost assessment, cash flow forecasting, and collaborating with technical teams. The position offers competitive compensation, equity, and benefits, with a US base salary range of $138k - $175k.

About the Role

As a Strategic Finance Senior Associate at Together, you will own the cost side of our data center build-outs. Reporting to the Director of Strategic Finance, Infrastructure, you will be the financial counterpart to our Infrastructure Strategy team: building and maintaining the cost base for every deployment, validating that build-outs are tracking to plan, and helping evaluate the economics of the sites we take on next.

This is a hands-on, high-ownership role at the center of the largest capital decisions the company makes. The ideal candidate has done this before: inside a hyperscaler, neocloud, colocation provider, or data center developer, or covering data centers from the investing side, and pairs real infrastructure fluency with exceptional financial rigor.

Responsibilities

Own the cost base and cost forecast for Together's data center build-outs, spanning data center non-recurring costs, hardware capex across GPUs, networking, and storage, and ongoing operating costs

Validate that build-outs are tracking to plan: maintain budget-versus-actual against approved estimates, flag variances early with a clear read on the driver, and work with Infrastructure Strategy and Infrastructure Engineering to close them out

Maintain the all-in unit cost of owned capacity, on a dollars-per-GPU-hour basis by GPU type, as the source of truth used for pricing, margin, and capital allocation decisions

Partner with Infrastructure Strategy to evaluate new data center opportunities, building the economics for candidate sites including prepays, financing requirements, tax treatment and incentives, and total cost of ownership over the life of the site

Pressure-test hardware cost assumptions and surface savings opportunities with Infrastructure Engineering and Infrastructure Strategy, from equipment choices to storage sizing and cluster configuration trade-offs at different scales

Translate hardware delivery timelines and payment milestones maintained by Infrastructure Strategy into the cash forecast, and own tracking of prepays to hardware and data center suppliers, so that cash forecasting reflects real commitments

Build the reporting layer: dashboards and recurring processes that give leadership a current view of committed capital, spend to date, and forecast to complete, by site

Requirements

4+ years of experience with substantive exposure to data center or large-scale infrastructure capex, via one of two paths:

Operating side: finance, capex planning, or infrastructure strategy/FP&A at a hyperscaler, neocloud, colocation provider, data center developer, or another operator running large build-out programs

Investing side: investment banking, infrastructure investing, or project finance with a data center / digital infrastructure focus, ideally paired with time in-house at an operator

Working knowledge of the cost stack of a data center build: non-recurring costs, hardware capex (GPUs, networking, storage), power and cooling, and ongoing operating costs, and how each flows through COGS, depreciation, and cash

Exceptional financial modeling skills, including site-level TCO and scenario analysis, with the ability to distill a complex build into the handful of drivers that actually move the outcome

Demonstrated ownership of budget-versus-actual for large capital projects, with the discipline to catch variances early and the credibility to drive them to resolution

Comfort working directly with technical partners: able to hold a substantive conversation with infrastructure engineers, translate it into a cost number, and communicate the result clearly to non-technical and non-financial audiences

Exceptional business judgment and intuition, with the creativity and problem-solving instincts to tackle novel questions where there is no established playbook

Strong work ethic and self-directed, with the ability to manage multiple workstreams under tight timelines and close attention to detail

About Together AI

Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $138k - $175k + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Application Policy

Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

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