Sales hack

Sort 500 Job Titles into Buying Committee Roles: An AI Sales Hack for Named Accounts

For sales heads and account owners with a contact export full of job titles.

You leave with a role-sorting prompt, a six-role key and a gap list by account.

By Intandemly team · Updated 20 Oct 2026 · 4 min read · Free, no sign-up

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What you'll get

  • 1 copy-ready blocks
  • 1 table
  • 4 min read
  • Job titles to committee roles

How to use it

The hack

paste your contact export into an AI assistant and have it sort every job title into one of six buying committee roles, with a reason for each row. Then read the result by account, not by row.

The hack: paste your contact export into an AI assistant and have it sort every job title into one of six buying committee roles, with a reason for each row. Then read the result by account, not by row.

The prompt

Job titles to committee roles

Job titles to committee roles
You are sorting a contact list into buying committee roles for a B2B sale.
We sell [what you sell] to [type of company]. The budget usually sits with
[function].

Roles:
- Budget owner: can approve the spend
- Problem owner: runs the team that feels the problem day to day
- Technical evaluator: judges fit with systems, data or security
- User: will use what we deliver
- Procurement or finance: terms, supplier checks, payment
- Not in the committee: unlikely to take part in this decision

For each row below, return: company, name, job title, role, and a reason of
no more than 10 words based only on the title. If the title does not make the
role clear, write "unclear" and say why. Do not guess from the company name or
from anything outside the title.

Then, for each company, list which of the first five roles have no one, and
which role you would look for first.

Rows (company, name, job title):
[paste up to 100 rows at a time]

Paste in batches of about 100 rows. Long lists in one go are where assistants start skipping rows; check the count that comes back.

What comes back (illustrative, not real companies)

CompanyJob titleRoleReason
Harbourline FoodsVP Finance TransformationBudget ownerSenior finance, owns change budget
Harbourline FoodsERP Systems LeadTechnical evaluatorOwns the system we connect to
Harbourline FoodsHead of Group ProcurementProcurement or financeSupplier selection
Wrenfield FreightSenior Software EngineerUnclearCould be a user or evaluator
Wrenfield FreightTalent Acquisition PartnerNot in the committeeHiring, not this decision

Gap list: Harbourline Foods has no problem owner; look for the head of finance operations. Wrenfield Freight has no budget owner, problem owner or procurement; three of its four rows are engineers.

What to do with it

  1. Sort the sheet by company, then by role. Count the roles filled per account.
  2. Fix the gaps before outreach. An account with only engineers needs a budget owner and a problem owner found first.
  3. Check every "unclear" row by hand on the person's profile. Titles like "Manager, Strategy" mean different things in different companies.
  4. Copy each account's roles into its buying committee map, so the next message goes to the right person with the right question.

Check before you trust it

  • The row count that came back matches the row count you pasted.
  • Every role has a reason drawn from the title alone.
  • Your rules allow contact data to be pasted into this tool. If unsure, remove names and keep company and title only.
  • Senior titles at small companies were checked by hand. A "Head of IT" at 40 staff is often the budget owner too.

Three mistakes to avoid

  1. Trusting seniority as the role. A VP can sit outside the decision, and a manager can own the problem. Ask what the title says they do.
  2. Reading the result row by row. The point is the gap list per account.
  3. Sending to everyone it labels as a role. Choose two or three people per account and write to each about their own concern.

Make it a habit: run the sort every time a new export lands, and do not start outreach to an account until at least three of its five roles have a name.

Why this works on named accounts

A contact export treats every row as a separate lead: 500 names, 500 sends. Sorted by account and role, the same file tells a different story. You see which companies have a budget owner, a technical evaluator and a user on file, and which have three junior engineers and nobody who can say yes. The value is not the sort itself. It is the gap list: the accounts where you need one more person before anyone sends anything.
How account-based selling works →

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