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Zarif Automates

Career path

AI Account Executive

An account executive at an AI company owns a deal from the first qualified meeting to the signed contract, and often into the pilot that decides whether the contract grows. Titles split by segment, from SMB and mid-market to enterprise and strategic, and quotas and pay rise with deal size. Use this path to understand the job, learn how an AI sales cycle runs, read a pay plan and prepare for the interview loop.

A 7-guide reading path

  1. AI Account Executive: Career and Portfolio Guide

    Understand what an AE owns at an AI company and how segments differ.

  2. Breaking Into AI Sales: Who Gets Hired and How

    Map the routes in, from SDR seats to career changes out of other sales jobs.

  3. What Is Different About Selling AI

    See how pilots, evaluations, usage pricing and risk review change an AI deal.

  4. How to Run an AI Sales Cycle, From Discovery to Handoff

    Run discovery, the pilot, security review and the close as one plan.

  5. How OTE and Sales Pay Plans Work

    Read an offer: base, variable, split, quota, ramp and accelerators.

  6. Companies Hiring AI Sales Roles

    Compare the AI companies hiring sales roles and what their postings ask for.

  7. AI Account Executive Interview Guide

    Prepare the mock discovery call, deal review and quota questions.

Compensation in current employer postings

Checked September 26, 2026. Annual ranges from 6 specific employer postings. These are not market averages, comparable levels or guaranteed offers. Read the linked posting for the current range and package.

Employer-posted AI Account Executive compensation checked September 26, 2026
Employer and roleLocationPosted rangeWhat the range covers
Harvey
Account Executive, Mid-Market
San Francisco (hybrid)$240,000 OTE with a 50/50 splitOn-target earnings: half base salary, half variable at quota. Equity and benefits are in addition.
Rogo
Enterprise Account Executive
New York City (on-site)$150,000-$200,000 base; $300,000-$400,000 OTEThe posting states both: base salary for a New York City candidate, and on-target total cash (base plus commission). Equity and benefits are in addition.
Decagon
Enterprise Account Executive
San Francisco (on-site)On-Target Earnings $230K – $320KOn-target earnings; the posting gives no base and commission split. Equity is in addition.
Writer
Enterprise account executive (West)
San Francisco, Denver, Los Angeles or Seattle (hybrid)OTE $280K – $300KOn-target earnings; the posting gives no split. It lists commission and equity.
Baseten
Account Executive - AI Native
San Francisco (hybrid)$180K – $230KThe posting's compensation field, with a 50/50 split between base salary and variable compensation. It does not label the range OTE, though the split implies it. Equity is in addition.
Sierra
High Growth Enterprise Account Executive
San Francisco or New York (on-site)$205K – $250KThe posting's compensation field, which also lists commission and equity. It does not say whether the range is base salary or OTE, so it is not comparable with the OTE rows above.

Who is hiring: Companies Hiring AI Sales Roles. Compare the AI companies hiring account executives, with each listing's segment and the date it was checked.

Interview practice bank

Original practice prompts, not leaked questions or a claim about any employer’s interview loop.

A champion loves the pilot, but no one has agreed what result would justify buying. What do you do?

Write success criteria with the champion before the pilot ends, tie them to a cost or revenue the economic buyer already tracks, and name who signs off on the result.

The buyer asks what the product will cost per year, and pricing is usage-based.

Model usage from the buyer's own volumes, show a low and high case, propose a commitment or cap that limits their risk, and avoid a single number the pilot has not tested.

Security review has stalled the deal for three weeks. How do you move it?

Find the reviewer and the specific open items, bring the right internal expert, offer existing documentation such as data-retention and model-training terms, and set a date with the champion.

Walk through a deal you lost. What would you change?

Name the real reason from the buyer's side, the signal that appeared early and was missed, and a specific change in qualification or process, without blaming product or price alone.

A prospect says a competitor's model scored higher on a public benchmark.

Move the conversation to the prospect's own task and data, propose a side-by-side test on it, and admit where the competitor may be stronger.

You are at 60 percent of quota with one quarter left. What is your plan?

Inspect the pipeline by stage and close date, separate committed deals from hope, show where new pipeline comes from, and say what gets less time.

Other AI sales roles

All career paths and the guides every role draws on