Associate, Infrastructure Strategy & Operations
Together AI is hiring an Associate, Infrastructure Strategy & Operations in San Francisco, United States. It pays $140k-$170k a year and Level rates it ; you can apply on Together AI.
Level's read on this job
- On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
- The posting mentions Claude, Cursor and Claude Code among its tools and skills.
- Level classes it as a mid-level role.
- Together AI has 83 other open roles on Level.
AI in this role
Drive compute infrastructure strategy, capacity planning, and operational analysis while leveraging AI productivity tools.
About The Role
Together AI is rapidly scaling its compute infrastructure across multiple sites and deployment types. The Associate, Infrastructure Strategy & Operations will be the analytical backbone of the Infrastructure Strategy team, powering the research, benchmarking, and operational analysis across the team's core workstreams, including capacity planning, compute sourcing, vendor evaluation, and site selection.
You'll be the person who keeps the team organized and well-informed as infrastructure scales, partnering closely with Infra Eng and Finance to ensure timely, data-backed decisions.
Responsibilities
- Support the Infrastructure Strategy team's planning process by gathering data, running comparisons, and preparing materials and recommendations for leadership reviews.
- Build internal trackers and dashboards that help the team monitor infrastructure deployments, vendor pipelines, and compute allocations across products and customers
- Maintain and improve the team's sourcing comparison frameworks across location, vendor, and site evaluation workstreams, in partnership with Finance and Infra Eng.
- Run analyses to support capacity allocation decisions.
- Research and evaluate data center sites and energy sourcing options, comparing power availability, connectivity, permitting timelines, deployment readiness, and reliability.
- Champion process improvements across the Infrastructure Strategy function, collaborating cross-functionally with Engineering, Data, and Finance to design AI-native workflows that streamline operations and automate repetitive analysis.
- Take on ad hoc analytical projects as priorities evolve, operating with speed and minimal direction.
Requirements
- 3+ years of experience in management consulting, business operations, strategy, or a similar analytically rigorous role.
- Proficiency in Excel/Google Sheets, familiarity with SQL or data visualization tools, and comfort with AI productivity tools (e.g., Claude Code, Codex).
- Strong quantitative skills with a data-driven approach to problem-solving and comfort building analyses from scratch.
- Ability to learn new domains quickly and operate effectively in unfamiliar territory.
- Organized and detail-oriented, with the ability to manage multiple workstreams and keep information current.
- Clear communicator who can present data and comparisons to both technical and non-technical audiences.
Nice to Have
- Prior experience at a high-growth startup or AI company.
- Exposure to cloud infrastructure, data center strategy, or GPU/compute procurement.
- Interest or background in power markets, energy procurement, and/or hardware.
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 benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $140-170K + 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
Associate, Infrastructure Strategy & Operations at Together AI rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Tell me about a project where capacity planning was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where infrastructure strategy was part of your work. What did you do?
- Tell me about a project where vendor evaluation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Fine-tuning, Capacity Planning, Data Analysis, Infrastructure Strategy, and Vendor Evaluation. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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