# Talent Collective

> AI raised the potential of every recruiting team. We'll get you to yours.

Getting there means work in your data, your workflows, and the tools your recruiters actually open. We find what's working, fix what's broken, build the tooling, and put AI where it actually helps.

Talent Engineering and Operations as a Service.

Website: https://talentcollective.io
Contact: hello@talentcollective.io

## The squeeze

The hiring never stops long enough to invest in going faster.

What we keep hearing from buyers:

> "We're being asked to produce more, with no bandwidth to keep hiring going and improve our foundations at the same time. I know our team could be doing more with AI, but we don't know where to start. We bought AI tools and it's unclear whether we're using them properly, or whether they're even the right ones."
>
> — Head of People, Series B startup

## Engagements

Four disciplines.

How an engagement runs: Understand → Diagnose → Design → Build → Enable. Where we start: https://talentcollective.io/how-we-work

### Talent Engineering

Custom tools for your team. The tools you can't buy. One side is the daily friction: the copy-paste, the scorecard chasing, the spreadsheet three people maintain. The other side is an advantage your competitors can't buy either. Most importantly, we build things your team uses every day.

### Talent Ops

Data, workflows, systems. The rec ops foundation your team scales on. ATS audits and full implementations, data hygiene, dashboards the room stops arguing with. Nobody sees this work. Skipping it is what quietly degrades a talent operation.

### Chief of Staff, Talent

Whatever the function needs. Former Heads of TA embedded with your leadership team: strategy, operating cadence, coaching your recruiters. We'll pinch hit wherever you need us.

### Applied AI Training

Start from where you are. You can copy a prompt without ever learning to write one. Learning this is like starting at the gym: a video can show you the movement, but it can't tell you your form is wrong. Your team brings work they already do by hand, and we coach them through building it themselves. One person or the whole team.

## Proof

Two projects we shipped for clients.

### Analysis: A monthly business review, rebuilt on a custom MCP to run itself. (28h → 0)

A 28-hour monthly business review rebuilt on a custom MCP into a report that pulls, checks, and dates its own numbers.

Case study: https://talentcollective.io/proof/reporting

### Product: A referral tool that maps who your company already knows. (10K → 80K)

A tool that maps who the whole company already knows and searches that network for warm introductions. A 10,000-contact referral pool became 80,000 enriched, semantically searchable people.

Case study: https://talentcollective.io/proof/referral-network

Read the case studies: https://talentcollective.io/proof

## Why us

We've scaled teams at Vercel, Airbnb, DoorDash, Netflix.

- Every mistake we're helping you avoid, we made in your seat with an exec team watching.
- If half your hires skip the offer stage and half don't, every conversion number you report is wrong, and no tool will notice.
- Your recruiters quietly stop using tools built by people who have never run a search.
- Most engagements end in a recommendation. Ours end with your team already using the thing we built.

## Get in touch

Tell us what's not working.

A short conversation about your team, your data, and where the time is going. If we're not the right fit, we'll say so.

Email: hello@talentcollective.io

## Pages

- [Home](https://talentcollective.io): What we do, who we've done it for, and how to reach us. The whole offer on one page.
- [How we work](https://talentcollective.io/how-we-work): The five-step method — Understand, Diagnose, Design, Build, Enable — and the four commitments that govern an engagement.
- [Proof](https://talentcollective.io/proof): Case studies from client work, with the numbers behind them.
- [Case study: monthly business review](https://talentcollective.io/proof/reporting): 28 hours of manual reporting a month, rebuilt on a custom MCP into a report that pulls, checks, and dates its own numbers — and caught metric definitions the manual version had been hiding.
- [Case study: referral network](https://talentcollective.io/proof/referral-network): A referral network nobody could search became 80,000 enriched, semantically searchable people, built from a 10,000-contact pool collected in one all-hands.
- [Apply to an open role](https://talentcollective.io/application): Application form for the recruiting roles we're currently hiring for on behalf of clients.
- [Apprenticeship](https://talentcollective.io/apprenticeship): Application form for the Talent Collective apprenticeship — training recruiters to build with AI.