Associate, Infrastructure Strategy & Operations

Together AI · Infra Strategy

Where: San Francisco
Posted: Jun 2

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.

Together AI, the AI Native Cloud, is purpose-built for AI engineers.

What you'd do

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.

What they want

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.