# AI Account Executive: Career and Portfolio Guide > What an account executive owns at an AI company, read from seven live postings: pay, deal shape, a first year, and portfolio work you can build. - Source: https://www.zarifautomates.com/blog/ai-account-executive-career-guide - Published: 2026-09-26 - Updated: 2026-09-26 - Pillar: AI Careers - Tags: ai-sales, account-executive, careers, sales - Author: Zarif --- An account executive at an AI company closes revenue, like any AE. What changes is who sits across the table and what they need to see before they sign. The postings below sell to ML engineers, legal teams and contact-center leaders, and most of them ask the AE to run a technical evaluation, not just a demo. This guide reads seven live AE postings, opened on September 26, 2026, and pulls out what the job owns. It ends with the first year you should expect and two portfolio pieces you can build before applying. ## What the postings say the AE owns Every posting below says the AE owns the full cycle. The differences are in who the buyer is and what proof closes the deal. [Baseten's Account Executive - AI Native](https://jobs.ashbyhq.com/baseten/df2f0ebb-a84a-45c2-bc74-dc9589fcc1ae) sells inference infrastructure to early-stage AI companies. The AE will "Run fast, technical sales cycles with founders and early engineering teams, from first call to first production workload." The deal ends at a production workload, not a signature. [Fireworks' Account Executive, AI Native Team](https://jobs.ashbyhq.com/fireworks/1e8064d8-27ed-41b9-9d7a-1f9129e24ce0) is similar. The AE will "Lead technical and product conversations with founders, ML engineers, and infra leads" and "Work closely with internal teams to shape tailored solutions, POCs, and fine-tuning approaches." After the sale, the AE will "Track account health and usage data to identify expansion opportunities." [Harvey's Account Executive, Mid-Market](https://jobs.ashbyhq.com/harvey/e25c329d-178a-47fa-9278-becd45d9fba3) sells to law firms and legal teams. It asks the AE to "Conduct high velocity, tailored client evaluations, including product demonstrations and presentations," and to manage "the full customer lifecycle from prospecting to contracting, onboarding, growing, and renewals." [Decagon's Enterprise Account Executive](https://jobs.ashbyhq.com/decagon/67c794bd-e423-44b2-8b80-d7b759994cde) sells AI customer-support agents to enterprises. It asks for "Experience in complex solution sales and consistently closing 7 figure deals." [WRITER's Enterprise account executive (West)](https://jobs.ashbyhq.com/writer/a9c96eb2-2cb3-46be-a5df-673d7b977002) asks the AE to "Become a trusted product expert, educating users on how to set up WRITER to unlock value, going hands-on where needed." [Clay's Account Executive (GTME - New Business)](https://jobs.ashbyhq.com/claylabs/a6abd176-8afe-4905-a341-15d89f9acd03) sells a GTM data platform. It wants AEs who can "Build business cases that win budget and internal champions" and cites "new-logo deals in the $50K-$100K range with multiple stakeholders." [Perplexity's Commercial Account Executive](https://jobs.ashbyhq.com/perplexity/e0e8188a-9c92-4795-82a5-7384f1b25bc7) converts "existing self-serve customers into Enterprise relationships" and runs the cycle "from initial presentation, technical evaluation, negotiation, to closing and onboarding." Put together, the seats fall into three types. | Seat type | Examples | Buyer | What closes the deal | | --- | --- | --- | --- | | AI-native infrastructure | Baseten, Fireworks | Founders, ML and infra engineers | A benchmark or POC on the customer's workload, then usage that grows | | Vertical AI application | Harvey, Decagon | Business owners in legal or support, plus IT and security | An evaluation against the customer's own work, a business case, security sign-off | | Horizontal platform with self-serve | WRITER, Perplexity, Clay | Team leads who already use the product, then procurement | Proof of adoption, a business case, a larger contract | Read the posting and put it in one row before you prepare. An infrastructure AE who cannot talk about latency and token throughput with an engineer will struggle. An application AE who cannot build a business case for a general counsel will struggle in a different way. ## How this differs from a SaaS AE seat Three things show up again and again in these postings, and none of them is standard in a classic SaaS seat. **The evaluation is the sale.** Harvey, Clay, Fireworks and Perplexity all name evaluations, POCs or technical evaluation as part of the AE's job. With AI products the buyer cannot judge output quality from a demo. They need to see the model do their work, on their data, and score the result. The AE designs that test with the customer. The [AI sales cycle playbook](/blog/how-to-run-an-ai-sales-cycle) walks through how to scope one. **The contract is often a starting point for usage.** Baseten's deal runs to "first production workload." Fireworks tracks "usage data to identify expansion opportunities." Model and inference vendors price by usage, as the public [OpenAI API pricing](https://openai.com/api/pricing/) and [Claude pricing](https://www.anthropic.com/pricing) pages show. An AE on a usage model is paid to get the customer live, not just signed. **Engineers are in the deal.** Baseten tells the AE to "Pull in applied research and engineering when a deal needs depth." At some companies that engineer is a [forward deployed engineer](/blog/what-is-a-forward-deployed-engineer), and the AE's job is to hand them a deal with a clear scope. The [FDE playbook](/blog/forward-deployed-engineering-playbook) shows what a good handoff gives them. The [explainer on what is different about selling AI](/blog/what-is-different-about-selling-ai) covers the buyer side of these changes in more depth. ## Posted pay, and what each number covers Opened live on September 26, 2026. These are employer-posted figures quoted word for word, not a market survey. Read the second column before you compare two rows. Some ranges are on-target earnings (base plus variable pay at 100 percent of quota), one is a single figure, and one does not say. | Employer and exact title | Location | Pay text as posted | What it covers | | --- | --- | --- | --- | | [Harvey: Account Executive, Mid-Market](https://jobs.ashbyhq.com/harvey/e25c329d-178a-47fa-9278-becd45d9fba3) | San Francisco, hybrid | "$240,000 OTE with a 50/50 split" | OTE, half base, half variable. Equity plan eligible. | | [Clay: Account Executive (GTME - New Business)](https://jobs.ashbyhq.com/claylabs/a6abd176-8afe-4905-a341-15d89f9acd03) | San Francisco, on-site | "OTE (50/50) $170K – $280K" | OTE, 50/50 split. Equity and commission offered. | | [Baseten: Account Executive - AI Native](https://jobs.ashbyhq.com/baseten/df2f0ebb-a84a-45c2-bc74-dc9589fcc1ae) | San Francisco, hybrid | "$180K – $230K" with a "50/50 split between base salary and variable compensation" | Not labeled OTE, but the split implies a total. Equity offered. | | [Fireworks: Account Executive, AI Native Team](https://jobs.ashbyhq.com/fireworks/1e8064d8-27ed-41b9-9d7a-1f9129e24ce0) | San Francisco, New York, San Mateo, hybrid | "On Target Earnings $240K – $280K" | OTE. No split stated. Equity offered. | | [Decagon: Enterprise Account Executive](https://jobs.ashbyhq.com/decagon/67c794bd-e423-44b2-8b80-d7b759994cde) | San Francisco, on-site | "On-Target Earnings $230K – $320K" | OTE. No split stated. Equity and commission offered. | | [WRITER: Enterprise account executive (West)](https://jobs.ashbyhq.com/writer/a9c96eb2-2cb3-46be-a5df-673d7b977002) | San Francisco, Denver, Los Angeles, Seattle, hybrid | "OTE $280K – $300K" | OTE. No split stated. Equity and commission offered. | | [Perplexity: Commercial Account Executive](https://jobs.ashbyhq.com/perplexity/e0e8188a-9c92-4795-82a5-7384f1b25bc7) | San Francisco, Austin, New York City, hybrid | "$140K – $220K" | Does not say base or OTE. Commission and equity offered. | A 50/50 split on $240,000 OTE means a $120,000 base. That base is what you are paid if you close nothing. When a posting gives no split, ask for it in the first recruiter call. The [guide to OTE and sales pay plans](/blog/how-ote-and-sales-pay-plans-work) explains quotas, accelerators and clawbacks, and the [AI sales pay calculator](/lab/ai-sales-pay-calculator) lets you model a plan at different attainment levels. The experience asks vary more than the pay. Baseten asks for "2+ years of closing sales experience in a SaaS or infrastructure business." Clay asks for "4+ years in a closing role." WRITER asks for "5 years of quota-carrying enterprise SaaS sales experience." If you have not closed before, the SDR route in the [SDR and BDR career guide](/blog/ai-sdr-bdr-career-guide) is the common way in. ## What a first year tends to look like No posting publishes a ramp schedule, so treat this as the sequence the duty lines imply rather than a timeline any employer committed to. 1. **Learn the product until you can run the evaluation yourself.** WRITER wants AEs "going hands-on where needed." Baseten wants AEs who "follow model releases and can hold a real conversation with engineers." Expect to spend the first weeks building demos and reading customer implementations. 2. **Take inherited pipeline and build your own.** Baseten says "You own pipeline generation, not just what's handed to you." Decagon lists "Consistent performance meeting pipeline generation targets for net new business." Plan on sourcing a large share of your own deals, often with an SDR. 3. **Run your first evaluations with engineering support.** The first two or three POCs teach you which success criteria customers accept and which evaluations drag on. Write down what worked. 4. **Close, then get the customer live.** On usage-priced products the first invoice may be small. The account grows when the workload reaches production, so stay close to onboarding. 5. **Forecast accurately.** Harvey asks AEs to "accurately forecast key sales performance metrics." By the end of the year your manager will judge you on whether your commit number held, as well as on the total. ## Portfolio evidence a candidate can build Sales hiring runs on track record, and a portfolio does not replace a quota history. It does give an interviewer something concrete to discuss, and it is the strongest evidence you can make for an AI-specific seat. ### An evaluation plan for a real public company Pick a company that plausibly buys the product you want to sell. Use only public information: its annual report, job postings, engineering blog and product pages. Write a two-page evaluation plan that states: - the workflow the product would change, and the person who owns it - three success criteria that are specific and measurable, in the sense [Anthropic's evaluation guide](https://platform.claude.com/docs/en/test-and-evaluate/develop-tests) uses the terms - the test data the customer would need to provide, and who must approve sharing it - what happens if the evaluation passes: who signs, and what the first production use is Mark everything you inferred. An interviewer will trust a plan that says "unknown: current ticket volume" more than one that invents a number. ### A mock mutual action plan Write the path from evaluation to signature as a table of dated steps, each with an owner on the buyer's side. Include security review, legal and procurement. The [open-source GTM skills](/open-source/gtm-skills) include a `create-mutual-action-plan` skill and a `build-business-case` skill that show the inputs these documents need. Use them to check your draft, not to write it for you. Bring both to the interview. The [AE interview guide](/blog/ai-account-executive-interview-guide) shows where they fit in a mock discovery or pipeline review. ## Next steps - Prepare for the loop with the [AI account executive interview guide](/blog/ai-account-executive-interview-guide). - Learn the deal steps in the [AI sales cycle playbook](/blog/how-to-run-an-ai-sales-cycle). - If you are earlier in your career, start with the [AI SDR and BDR career guide](/blog/ai-sdr-bdr-career-guide) and [how to break into AI sales](/blog/breaking-into-ai-sales). - Find current openings in the [directory of companies hiring for AI sales roles](/blog/companies-hiring-ai-sales-roles). - Compare the AE seat with technical GTM work in the [GTM engineer career guide](/blog/gtm-engineer-career-guide).