Level

Together AI

Strategic Finance Senior Associate - Compute

Together AI is hiring a Strategic Finance Senior Associate - Compute in San Francisco, United States. It pays $138k-$175k a year and Level rates it ; you can apply on Together AI.

Level's read on this job

  • On Level's scale, this finance role is Little AI ●○○○: aI is not part of the work.
  • Pay on this posting starts 28% higher than the typical finance posting on Level.
  • The posting mentions Cursor, Elevenlabs and Decagon among its tools and skills.
  • Level classes it as a senior role.
  • Together AI has 83 other open roles on Level.

AI in this role

Own the financial cost base, budgeting, and unit economics for data center build-outs and GPU infrastructure deployments.

cursorelevenlabsdecagon
fine-tuningfinancial-modelingcapex-planningdata-center-infrastructurecost-accounting

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.

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 

How we rate this

Strategic Finance Senior Associate - Compute at Together AI rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningFinancial ModelingCapex PlanningData Center InfrastructureCost AccountingCursorElevenlabsDecagon

Also common in finance jobs at this level

Pay

This job starts at
$138k
Typical finance job
$107k

This posting starts 28% above the typical finance job. See finance jobs

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Tell me about a project where financial modeling was part of your work. What did you do?
  3. Tell me about a project where capex planning was part of your work. What did you do?
  4. Tell me about a project where data center infrastructure was part of your work. What did you do?
  5. Tell me about a project where cost accounting was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Fine-tuning, Financial Modeling, Capex Planning, Data Center Infrastructure, and Cost Accounting. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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