Breaking Into AI Sales: Who Gets Hired and How
ZarifMost people get into AI sales through one of two doors: an SDR or BDR seat that accepts little or no sales experience, or a move from an existing sales, technical or customer role where they already have a track record. The AI part matters less on day one than the postings suggest. What they screen for is evidence that you can find customers, run a conversation and learn a technical product fast.
This guide is built from 23 AI sales postings opened live on September 26, 2026 and listed in the directory of companies hiring AI sales roles. Postings change, so treat the quotes as a snapshot.
The five seats and what they ask for
| Role | What it owns | What the postings ask for |
|---|---|---|
| SDR or BDR | Booking qualified meetings for account executives | From "0 to 2 years of professional experience" at Rogo to "2+ years of experience in a sales development role at a SaaS company" at Writer |
| Account executive | Closing deals against a quota | Prior quota-carrying experience, from "2+ years of closing sales experience" at Baseten to "5 years of quota-carrying enterprise SaaS sales experience" at Writer |
| Sales or solutions engineer | The technical side of the deal | "4-6 years of customer facing experience in a sales engineering (pre-sales) role" at Decagon, "5-7+ years" at Sierra |
| Account manager | Growing revenue from existing customers | "3-5+ years of experience in Customer Success, Commercial Account Management, or technical sales role" at Replit |
| Customer success manager | Adoption and retention after signature | "4+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering" at Anthropic |
The pattern is plain. Only the SDR and BDR seats open to people without sales experience, and only three of the 23 postings say so outright: Rogo's SDR, Legora's BDR ("Internship or campus selling experience are welcomed") and Clay's ClayDR ("open to exceptional entry-level candidates as well"). Every other seat wants years of doing a closely related job.
Pick the door that matches your background
The fastest route is the one that reuses what you already have. Here is where each background tends to fit, based on what the postings accept.
No sales experience. Aim for SDR or BDR. The postings that welcome newcomers want proof you can handle volume and rejection: campus selling, recruiting, or anything "outbound-heavy," as Rogo puts it. Expect a year or two in the seat before an AE promotion, and know that promotions are not automatic. The Bridge Group's 2025 SDR report, a survey of 351 B2B companies, says promotions fell to 16%, from 34% in 2020.
SaaS sales, not AI. Your quota history carries over. Apply for the same seat at an AI company, and prepare for the parts that differ: usage pricing, pilots judged on the customer's data, and a larger technical buying group. What is different about selling AI walks through each one. Several postings ask for AI experience only as a plus. Decagon's enterprise AE lists "Previous experience selling AI or Customer Support/Experience software" under "Even better if you have."
An industry, not sales. Vertical AI companies hire for the customer's world. Harvey's mid-market CSM welcomes "Experienced professionals from legal firms," and Rogo sells into "banks, PE, asset managers." Anthropic's BDR posting accepts experience in "finance & investment banking, consulting or software engineering." If you know how a law firm or a bank buys, find the AI company that sells to it.
An engineering or technical role. Sales engineering is the natural seat, but the postings want pre-sales experience, not just engineering. A common bridge is a customer-facing technical role first: solutions, support engineering or implementation. The GTM engineer, RevOps and sales engineer comparison and what a forward-deployed engineer does show the neighboring seats.
Support, success or consulting. Customer success and account management fit best. Replit's account manager posting counts customer success and technical sales, and Anthropic's CSM counts technical account management. Bring numbers you can defend: accounts managed, renewals, expansions.
A 90-day plan
This plan assumes you are targeting one seat at a short list of companies. Each block ends with something a hiring manager could look at.
Days 1 to 30: learn the product category and choose targets
- Pick one seat from the table and one to three segments you understand: developer tools, legal, finance, customer support, public sector.
- Build a list of 10 to 15 target companies. Start with the hiring directory, then add companies selling into your segment.
- Learn enough of the technology to run discovery without guessing. The AI APIs beginner guide covers tokens, models and API calls. Sign up for the free tier of two or three target products and use them on a real task.
- Read each target's pricing page and write one line on how it charges: per seat, per usage, per outcome, or a mix.
Deliverable: a one-page target list with, for each company, what it sells, who buys it, how it prices, and one open role.
Days 31 to 60: build proof a hiring manager can check
- Write an account brief for one real prospect of your top target company. Who at that prospect would buy, what problem they have, what public evidence supports it, and what you would say in the first message. Keep it to one page and cite your sources.
- Draft a short outbound sequence to that prospect: three messages, each with a different reason to reply. The AI SDR outbound playbook covers the structure.
- Write a pilot plan for the same prospect: the use case, the success metric, the test set you would ask for, and the timeline. This shows you understand how AI deals close.
- Practice a discovery call out loud with a friend playing the buyer. Record it and listen back for how much you talked.
Deliverable: the account brief, the sequence and the pilot plan, as three short documents you can attach or link.
Days 61 to 90: apply, reach out and interview
- Apply to the roles on your list, and for each one send a short note to the hiring manager or a rep on the team with your account brief for their company attached. That is the same skill the job asks for.
- Run the pay for every live posting through the AI Sales Pay Calculator, and read how OTE and sales pay plans work so you know what to ask about quota, split and ramp.
- Prepare for interviews with the role-specific guides: the AI SDR and BDR interview guide or the AI account executive interview guide. Expect a mock call and a question about how you would handle a pilot.
- Track every application, conversation and result in a simple sheet. After 30 days, look at where you stall and fix that step.
Deliverable: applications out, a record of responses, and at least one mock or real interview completed.
What the pay looks like at the door
Entry-level pay in these AI postings mostly sits at or above the cross-industry median. The Bridge Group's 2025 report puts median SDR on-target earnings at $80K. The SDR and BDR postings in the directory range from Legora's "OTE $75,000 – $91,667" in Denver to Anthropic's $116,480 to $131,040, which that posting defines as OTE, in San Francisco and New York. Clay's ClayDR pays a "Fully Guaranteed Base" of $90K to $110K with no commission stated.
Those numbers are not comparable at face value. Some are base, some OTE, and the locations differ. Put them through the calculator at a realistic attainment before deciding which one is better.
Where to go next
- The AI SDR and BDR career guide and the AI account executive career guide go deeper on the two most common entry seats.
- How to run an AI sales cycle shows what the account executive's job looks like once you are in.
- The career transition guide covers moving into AI from other fields more broadly.