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What is talent engineering?

Talent engineering is recruiting run the way engineering is run: the role is written as a spec, the search is built as a repeatable set of queries, every decision about a person cites its evidence, and the results are measured and fed back so the next search is better than the last.

Recruiting as a system, not a habit

Most recruiting runs on memory. A recruiter reads a job description, thinks of titles, types a search, skims what comes back and keeps the people who feel right. It works, and it does not transfer: the next search starts from zero, and nobody can say afterwards why one person was contacted and another was not.

Talent engineering keeps the judgment and adds the discipline an engineer brings to any system that has to work twice. You write down what you are looking for. You build the search so it can be run again. You record why each decision was made. You count what happened, and you change the search because of it.

Talent engineering vs recruiting by habit

Recruiting by habitTalent engineering
The roleA job description and a titleA spec: must-haves and the evidence for each
The searchTyped again each timeWritten down, re-run, changed on purpose
A decisionA gut call or a bare scoreA sentence that cites what was on the page
The recordA row per applicationOne record per person, across every search
ImprovementExperience and memoryCounted outcomes fed back into the search

The five practices of talent engineering

1. Write the role as a spec

Start from what the work is, not from a title. A spec names the must-haves, the evidence that would prove each one, the titles people actually use for the job, the places they work and the pay the market is paying. If two people read it and would search differently, it is not a spec yet.

2. Build the search, then keep it

A search is a set of queries with a reason behind each one, not something typed fresh every morning. It is written down, run again, and changed on purpose. The free Boolean generator and the X-ray search guide are this practice by hand.

3. Decide on evidence

Every yes and every no cites what was on the page: the skill that was shown, the one that was not, the place, the level. A score nobody can explain is not evidence, and a reason is a sentence a person could read back a month later.

4. Keep one record

One person is one record, wherever they came from: a search, an application, a referral, an import. What was learned about them in one search is there for the next one, and so is the answer when they said not now.

5. Measure, then change the search

Count what the search found, who was liked, who was passed on and why, who replied and who was placed. Feed that back into the queries and the order, and say what changed. A funnel that is measured can be improved; one that is felt cannot.

How SourcingNav does talent engineering

SourcingNav is an applicant tracking system with sourcing built in, built around these practices. Paste a job description and it writes the spec and builds the searches. Each candidate it finds is scored with the evidence shown, so a recruiter can see what was matched and what was not. Likes and passes are recorded with a reason, and the pipeline, interviews and offers live in the same system as the search that found the person.

Read what SourcingNav is, see pricing, or start with the free recruiter's knowledge hub, which teaches the same method by hand.

Common questions about talent engineering

What is talent engineering?

Talent engineering is recruiting run the way engineering is run. The role is written as a spec, the search is built as a repeatable set of queries, every decision about a person cites its evidence, and the results are measured and fed back so the next search is better than the last one.

How is talent engineering different from talent acquisition?

Talent acquisition is the function: the team and the process that fill roles. Talent engineering is a method for doing that work. It treats a search as something you design, test and improve, with a record of why each decision was made, instead of a list of profiles someone remembered to look at.

Is talent engineering the same as recruiting engineers?

No. The phrase is also used by staffing firms that place engineers, which is engineering talent as a market. Here it means engineering applied to the work of hiring itself, and it applies to any role: a nurse, a welder or an account executive as much as a software engineer.

What does a talent engineer do?

The same job a strong sourcer or recruiter does, with the working shown: turns an intake into a spec, builds and maintains the searches, records a reason for every like and pass, keeps one clean record per person, and reads the funnel numbers to decide what to change next.

Do you need to write code to do talent engineering?

No. The engineering is in the method, not in a programming language: specifications, repeatable searches, evidence and measurement. Boolean and X-ray search are the closest thing to code most recruiters need, and both can be learned in an afternoon.

What tools does talent engineering need?

At minimum: a place to write the spec, saved searches, a record for every person, and a way to count outcomes. You can assemble that from documents and spreadsheets. SourcingNav is an applicant tracking system with sourcing built in that does it in one system: it builds the searches from a job description, scores each candidate with the evidence shown, and keeps the pipeline.

SourcingNav runs this playbook for you

Paste a job description and it builds the searches, scores every profile it finds, verifies emails, and drafts the outreach, with receipts for every score.

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