Head of Compute
San Francisco, CA · On-site
The role At Applied Compute, securing the right compute on the right terms is what makes our post-training and agent infrastructure possible. As Head of Compute Partnerships, you'll own the sourcing ...
Applied Compute
60 Applied Compute Jobs Hiring Near You
Head of Compute
San Francisco, CA · On-site
The role At Applied Compute, securing the right compute on the right terms is what makes our post-training and agent infrastructure possible. As Head of Compute Partnerships, you'll own the sourcing ...
Product Marketing
San Francisco, CA · On-site
$181K/yr
Define Applied Compute's position and story in the AI infrastructure space * Turn complex inference, post-training, and training workflows into simple, differentiated narratives * Continuously refine ...
Product Marketing
San Francisco, CA · On-site
$181K/yr
Define Applied Compute's position and story in the AI infrastructure space * Turn complex inference, post-training, and training workflows into simple, differentiated narratives * Continuously refine ...
GTM Engineer
San Francisco, CA · On-site
The role As a GTM Engineer, you'll sit at the center of Applied Compute's commercial engine. You'll be the technical force behind our GTM motion, building the demos, agents, and automations that turn ...
GTM Engineer
San Francisco, CA · On-site
The role As a GTM Engineer, you'll sit at the center of Applied Compute's commercial engine. You'll be the technical force behind our GTM motion, building the demos, agents, and automations that turn ...
Applied Research Engineer
San Francisco, CA · On-site
$200K - $320K/yr
About us Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and ...
Applied Research Engineer
San Francisco, CA · On-site
$200K - $320K/yr
About us Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and ...
Win new business and drive revenue for Applied Compute. Find the right entry points at prospective customers, educate them on what Specific Intelligence is and why it's different, and guide them from ...
Win new business and drive revenue for Applied Compute. Find the right entry points at prospective customers, educate them on what Specific Intelligence is and why it's different, and guide them from ...
Product Marketing
San Francisco, CA · On-site
$150 - $200/hr
Define Applied Compute's position and story in the AI infrastructure space * Turn complex inference, post-training, and training workflows into simple, differentiated narratives * Continuously refine ...
Product Marketing
San Francisco, CA · On-site
$150 - $200/hr
Define Applied Compute's position and story in the AI infrastructure space * Turn complex inference, post-training, and training workflows into simple, differentiated narratives * Continuously refine ...
$150 - $200/hr
The role As a GTM Engineer, you'll sit at the center of Applied Compute's commercial engine. You'll be the technical force behind our GTM motion, building the demos, agents, and automations that turn ...
$150 - $200/hr
The role As a GTM Engineer, you'll sit at the center of Applied Compute's commercial engine. You'll be the technical force behind our GTM motion, building the demos, agents, and automations that turn ...
Recruiting Coordinator
San Francisco, CA · On-site
$100 - $125/hr
Ensure every candidate has a seamless, high-touch onsite experience with Applied Compute Build and improve recruiting operations * Manage Ashby and continue to build scalable processes, systems, and ...
Recruiting Coordinator
San Francisco, CA · On-site
$100 - $125/hr
Ensure every candidate has a seamless, high-touch onsite experience with Applied Compute Build and improve recruiting operations * Manage Ashby and continue to build scalable processes, systems, and ...
General Application
San Francisco, CA · On-site
About us Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and ...
General Application
San Francisco, CA · On-site
About us Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and ...
GTM Engineer
San Francisco, CA · On-site
$150 - $200/hr
The role As a GTM Engineer, you'll sit at the center of Applied Compute's commercial engine. You'll be the technical force behind our GTM motion, building the demos, agents, and automations that turn ...
GTM Engineer
San Francisco, CA · On-site
$150 - $200/hr
The role As a GTM Engineer, you'll sit at the center of Applied Compute's commercial engine. You'll be the technical force behind our GTM motion, building the demos, agents, and automations that turn ...
AI Platform Engineer
San Francisco, CA · On-site
$190K - $310K/yr
The role As an AI platform engineer, you'll build the products, interfaces, and tools that accelerate frontier research for Applied Compute's customers. You'll own the full stack of our application ...
AI Platform Engineer
San Francisco, CA · On-site
$190K - $310K/yr
The role As an AI platform engineer, you'll build the products, interfaces, and tools that accelerate frontier research for Applied Compute's customers. You'll own the full stack of our application ...
Design Engineer
San Francisco, CA · On-site
$190K - $310K/yr
This includes the interfaces where customers first learn about Applied Compute (our website, blog posts, case studies) as well as materials and platforms that shows up publicly across our GTM efforts.
Design Engineer
San Francisco, CA · On-site
$190K - $310K/yr
This includes the interfaces where customers first learn about Applied Compute (our website, blog posts, case studies) as well as materials and platforms that shows up publicly across our GTM efforts.
Recruiting Coordinator
San Francisco, CA · On-site
$96K - $125K/yr
Ensure every candidate has a seamless, high-touch onsite experience with Applied Compute Build and improve recruiting operations * Manage Ashby and continue to build scalable processes, systems, and ...
Recruiting Coordinator
San Francisco, CA · On-site
$96K - $125K/yr
Ensure every candidate has a seamless, high-touch onsite experience with Applied Compute Build and improve recruiting operations * Manage Ashby and continue to build scalable processes, systems, and ...
Forward Deployed Engineer
San Francisco, CA · On-site
$200 - $250/hr
Demonstrated engineering creativity through side projects, open source contributions, or shipped products About us Applied Compute builds Specific Intelligence for the enterprise. We provide the ...
Forward Deployed Engineer
San Francisco, CA · On-site
$200 - $250/hr
Demonstrated engineering creativity through side projects, open source contributions, or shipped products About us Applied Compute builds Specific Intelligence for the enterprise. We provide the ...
$100 - $125/hr
Ensure every candidate has a seamless, high-touch onsite experience with Applied Compute Build and improve recruiting operations * Manage Ashby and continue to build scalable processes, systems, and ...
$100 - $125/hr
Ensure every candidate has a seamless, high-touch onsite experience with Applied Compute Build and improve recruiting operations * Manage Ashby and continue to build scalable processes, systems, and ...
Recruiting Coordinator
San Francisco, CA · On-site
$100 - $125/hr
Ensure every candidate has a seamless, high-touch onsite experience with Applied Compute Build and improve recruiting operations * Manage Ashby and continue to build scalable processes, systems, and ...
Recruiting Coordinator
San Francisco, CA · On-site
$100 - $125/hr
Ensure every candidate has a seamless, high-touch onsite experience with Applied Compute Build and improve recruiting operations * Manage Ashby and continue to build scalable processes, systems, and ...
Platform Security Engineer
San Francisco, CA · On-site
$190K - $310K/yr
The role As the platform security engineer, you'll help shape Applied Compute's security posture as we scale. We train custom models on the most sensitive thing our F500 customers have - their ...
Platform Security Engineer
San Francisco, CA · On-site
$190K - $310K/yr
The role As the platform security engineer, you'll help shape Applied Compute's security posture as we scale. We train custom models on the most sensitive thing our F500 customers have - their ...
Research Systems Engineer
San Francisco, CA · On-site
$190K - $310K/yr
About us Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and ...
Research Systems Engineer
San Francisco, CA · On-site
$190K - $310K/yr
About us Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and ...
Research Scientist
San Francisco, CA · On-site
$200K - $335K/yr
About us Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and ...
Research Scientist
San Francisco, CA · On-site
$200K - $335K/yr
About us Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and ...
Platform Research Engineer
San Francisco, CA · On-site
$200K - $335K/yr
The role As a platform research engineer, you'll do research around ways to make Applied Compute's platform intelligent. This includes how we set up continual learning against production traces (OPSD ...
Platform Research Engineer
San Francisco, CA · On-site
$200K - $335K/yr
The role As a platform research engineer, you'll do research around ways to make Applied Compute's platform intelligent. This includes how we set up continual learning against production traces (OPSD ...
Applied Compute Jobs Information
Head of Compute
San Francisco, CA • On-site
Applied Compute
Full-time
Medical, Retirement, PTO
Re-posted 19 days ago
Key responsibilities
Own the unit economics of compute end-to-end, including contract structure, margin architecture, and long-term P&L impact.
Manage global procurement of GPU capacity by negotiating and closing various capacity agreements with providers.
Partner with research and engineering teams to translate training roadmaps and workloads into concrete compute requirements.
Job description
The role
At Applied Compute, securing the right compute on the right terms is what makes our post-training and agent infrastructure possible. As Head of Compute Partnerships, you'll own the sourcing, economics, and strategic positioning of the GPU capacity that powers everything we train, serve, and deploy for enterprise customers.
This is one of the highest-leverage roles at the company. Compute is both our core input and our binding constrain. Your job is to make sure Applied Compute has a leading seat at the table structuring the commercial relationships that define our cost structure for years, getting early access to new hardware generations as they come online, and turning a fragmented global supply market into a durable advantage. You'll work directly with our founders, our GTM function, and the leadership teams at providers reshaping global compute, and you'll partner closely with our research and engineering teams to decide what we train, on what hardware, where, and at what cost.
What you'll do
What we're looking for
Strong candidates also have
About us
Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and institutional expertise. Our researchers and platform embed directly within customer environments to build custom evals, train models, and deploy agents that get better with use.
Benefits & Logistics
This role is based in San Francisco. We work from our office in the Mission. We offer:
We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you. We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
At Applied Compute, securing the right compute on the right terms is what makes our post-training and agent infrastructure possible. As Head of Compute Partnerships, you'll own the sourcing, economics, and strategic positioning of the GPU capacity that powers everything we train, serve, and deploy for enterprise customers.
This is one of the highest-leverage roles at the company. Compute is both our core input and our binding constrain. Your job is to make sure Applied Compute has a leading seat at the table structuring the commercial relationships that define our cost structure for years, getting early access to new hardware generations as they come online, and turning a fragmented global supply market into a durable advantage. You'll work directly with our founders, our GTM function, and the leadership teams at providers reshaping global compute, and you'll partner closely with our research and engineering teams to decide what we train, on what hardware, where, and at what cost.
What you'll do
- Own the unit economics of compute end-to-end, from the structure of individual contracts to the margin architecture across training and inference products to the long-term P&L consequences of today's supply commitments
- Run global procurement of GPU capacity across hyperscalers, tier-one neoclouds, regional operators, and emerging providers
- Negotiate and close reserved capacity agreements, spot and burst arrangements, MSAs, DPAs, and order forms
- Secure early access to the latest accelerator generations in the quantities we need
- Partner with finance and leadership on capital strategy: how much to commit, to whom, over what term, on which hardware, and with what balance sheet exposure
- Build the frameworks that translate supply decisions into clear financial outcomes and let the company make large bets with conviction under uncertainty
- Work with research to translate training roadmaps and RL workloads into concrete compute requirements, and feed back what's achievable
- Partner with engineering on acceptance testing, goodput validation, and technical qualification of new providers and hardware
What we're looking for
- Strong business and financial instincts, with native fluency in unit economics, margin structure, and capital allocation, and the ability to model the long-term P&L consequences of complex supply decisions
- Deep knowledge of the global AI compute market, including the providers, the hardware generations and their real tradeoffs, pricing dynamics, and where the market is heading over the next 12 to 24 months
- A track record of negotiating and closing contracts at meaningful scale, finding and using leverage, and structuring deals that drive downstream economics
- Comfort operating across finance, commercial, product, and engineering, and translating fluently between all of them
- High ownership, with a habit of seeing gaps and building the fix before anyone asks
Strong candidates also have
- Experience structuring large infrastructure or capacity agreements
- Existing senior relationships across hyperscalers, neoclouds, or regional compute providers
- Background spanning both finance or capital allocation and hands-on commercial negotiation
- Experience sourcing compute or hardware in a high-growth environment where supply was the primary constraint
- An AI-native way of working, using LLMs, automation, and programmatic tools to move faster
About us
Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and institutional expertise. Our researchers and platform embed directly within customer environments to build custom evals, train models, and deploy agents that get better with use.
- Why we're excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they ship agents into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed.
- Who we are: We're a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, Watershed, and others. We work with F50 customers and are fortunate to be backed by partners like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.
- Who Thrives Here: We're looking for people who are excited about applying novel research and complex systems to real-world problems. Our team genuinely enjoys working with customers: listening, empathizing, and understanding how work actually gets done in their organizations. Former founders, people who've built a lot of side projects, or anyone who's shown they can own something end-to-end, tend to do well here.
Benefits & Logistics
This role is based in San Francisco. We work from our office in the Mission. We offer:
- Competitive compensation and equity
- Generous health benefits
- Unlimited PTO
- Paid parental leave
- Daily lunches and dinners
- Transportation and relocation support
- Retirement plans
We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you. We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.