Skip to content

Open nowPosted 193 days ago

Strategic Account Executive

Applied Compute13 open roles

Where
San Francisco
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowStrategic Account ExecutiveApplied Compute · San Francisco
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Applied Compute's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Applied Compute postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 193 days ago

Applied Compute median: 1 days open

The posting

THE ROLE

As the founding strategic account executive, you'll win new business and drive revenue for Applied Compute across the F500. You'll help enterprises understand what Specific Intelligence looks like inside their organization. You'll leverage your consultative sales expertise to become a trusted partner to customers, helping them embed and deploy AI and scale into a multi-workstream partnership over time. In collaboration with applied AI and platform engineers, you'll continuously refine our value proposition, sales methodology, and platform positioning to ensure specific value across each client.

What you'll do

- 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 first conversation through close. You'll own the full sales cycle end-to-end

- Maintain client partnerships over time to grow engagements into multi-workflow partnerships

- Sell into senior technical buyers (CTOs, Heads of AI/ML, VP Engineering) with confidence and credibility

- Spearhead market expansion by identifying new customer segments, industries, and use cases. Collaborate cross-functionally with applied research, product, and leadership to refine our positioning and sustain a competitive edge

- Collaborate with applied research engineers, product, and leadership to continuously refine our value. Inform product direction by translating customer feedback, objections, and market signal back to the team

What we’re looking for

- 3-5 years of enterprise sales experience at an AI or AI-adjacent company, with a track record of personally closing large ACV deals with technical buyers

- A consultative, solutions-oriented approach to selling. You understand multifaceted technical requirements and tailor your narrative to each account rather than running a standard demo

- Intellectual curiosity about AI/ML. You want to understand how the technology actually works, and you can hold your own in a room full of engineers after a briefing

- You have opinions about product and you naturally feed signal back to the product team

- A strategic sense for where budget lives and how deals get structured

Strong candidates also have

- Experience selling into enterprise environments where the buyer is evaluating build-vs-buy for AI/ML infrastructure

- A track record of expanding initial engagements into large, multi-workstream partnerships over time

- Existing networks across F500 technical leadership

- Experience at companies where the sales motion is deeply technical and consultative

- Hiring experience: you've recruited salespeople before and have a strong eye for talent

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Applied Compute's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Applied Compute's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Applied Compute's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.