Strategy & Operations

The role

As a member of our strategy and operations team, you'll help design the commercial model that connects our product and go to market teams, and you'll build and run the systems that let Applied Compute sign, deploy, and support enterprise customers without slowing down. Working alongside our founders and GTM leaders, you'll help decide how we package and price what we build. You'll also run much of the operational path from first conversation to live deployment, and you'll help make it faster and cleaner every time we run it.

You’ll sit at the center of how we sell and operate: building the internal systems and operating cadence that help our sales team move faster and close more reliably. You’ll work directly with GTM, product, engineering, and finance to turn bespoke go-to-market work into clear workflows—improving handoffs, decision-making, data quality, and execution across the funnel.

What you'll do

You'll own both the commercial model (pricing, packaging, comp, planning) and the operational engine that gets deals signed and customers live.

Strategy

Pricing & packaging: build and maintain deal models (costs, margin, resourcing) and help structure complex enterprise deals

Segmentation & planning: define ICP/segmentation, learn from wins/losses, and feed market/customer signal into product + GTM planning

Commercial systems: turn bespoke deal requirements into repeatable tooling and workflows (calculator, approvals, handoffs) so the team moves faster

Operations

Contracting & deal desk: run contracts end-to-end (NDA → MSA/DPA/order forms), manage outside counsel + redlines, and scale templates/approvals for non-standard terms

Engagements & deployments: coordinate scoping, staffing, timelines, and the path to production (security reviews, questionnaires, cloud access, vendor onboarding)

Compliance & systems: build intake/tracking + contract repository; keep SOC 2/ISO evidence and vendor/policy workflows current

GTM ops & reporting: keep CRM/GTM tools clean, build the operating cadence/reporting leaders use, and take on high-impact projects that don’t yet have a clear owner

What we're looking for

Strong modeling skills and the judgment

Experience designing pricing, sales compensation, or GTM plans, not only analyzing them

Comfort reading contracts and understanding what a clause means for the business

A strong operator who creates structure out of ambiguity and keeps many threads moving without dropping any of them

Clear, careful writing and good judgment about when to escalate

Real interest in AI, including how our technology works, where a model runs and what data it touches, and how compute costs and model economics shape a business

Strong candidates also have

Experience at a usage based, consumption, or infrastructure company with a technical sales motion

Experience with enterprise procurement, security reviews, or data protection agreements

Training in consulting, banking, law, or growth investing, followed by time in an operating role at a startup

Comfort with SQL or working directly with data

AI built into your own analytical workflow, or internal tools and automations you've built to take work off your own plate

The U.S. base salary range for this full-time position is $120,000–$240,000 . Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a comprehensive benefits package designed to support you both personally and professionally. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.

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

100% employer-paid health insurance coverage for you and your family

Unlimited PTO

Paid parental leave

Daily lunches and dinners

Transportation and relocation support

5% 401k match

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.