RPO vs. Retained Search: The AI Startup Founder’s Guide to Scaling in 2026

Startup team discussing recruitment strategy around a table

If you’re a startup founder planning five, ten or twenty hires, one of the first recruitment questions is usually: what model actually makes sense?

Do you appoint a recruiter for each important role? Bring somebody in-house? Use an embedded/RPO partner? Or try to manage it through the founders and hiring managers?

There isn’t one right answer.

We work with Seed to Series B AI startups across the US and Europe, and the model we recommend depends far more on the shape of the hiring plan than on which service happens to be easiest for us to sell.

For most early-stage companies, the useful comparison is between retained search and an embedded/RPO-style recruitment partnership.

Retained search is designed around a specific hire or defined group of hires.

You appoint one recruitment partner, agree the brief and commercial structure, and that partner owns the search from market mapping through to offer.

It works particularly well when the role is niche, senior, confidential or simply too important to run as a volume exercise.

Think founding Account Executive, Head of Product Marketing, AI engineering lead, VP Sales or another role where the candidate pool is relatively narrow and getting the profile wrong is expensive.

What is RPO or embedded recruitment?

RPO stands for Recruitment Process Outsourcing. In startup land, I generally prefer the term embedded recruitment because it better describes what good delivery should feel like.

Rather than working role-by-role, the recruitment partner becomes an extension of your internal team for an agreed period.

They can manage multiple searches, candidate pipelines, sourcing, screening, interview coordination, market feedback and reporting under one engagement.

This tends to work better when you have sustained hiring volume rather than one isolated vacancy.

The simplest way to choose

If you need one or two difficult hires, retained search will usually make more sense.

If you need ten hires across several functions over the next six months, an embedded model may be much more efficient.

It sounds obvious, but plenty of companies end up paying individual agency fees across a large hiring plan because they never stop to redesign the model.

When retained search wins

I’d lean toward retained search when:

  • The hire is genuinely business-critical.
  • You need a very specific background.
  • You want a detailed market map.
  • The role needs confidential outreach.
  • There isn’t enough hiring volume to justify an embedded solution.
  • You want one partner accountable for the result.

The big advantage is focus. The recruiter can spend time going deeper into a narrow market rather than balancing ten unrelated vacancies.

Our article on retained search for tech founders goes into this in more detail.

When embedded/RPO wins

Embedded recruitment becomes interesting when hiring starts turning into an operational problem.

Maybe the founders are spending hours screening candidates. Maybe you have six hiring managers using different processes. Maybe the internal talent person needs additional capacity for a six-month push.

In those situations, paying a percentage fee for every single hire can become expensive and fragmented.

An embedded model gives you predictable monthly cost and one team managing the wider funnel.

We’ve used this approach on larger international team builds, including work across software, data, machine learning and GTM. You can see examples of our work in the Dataworks case studies.

Cost is important — but calculate it properly

Founders often compare recruitment models purely by fee percentage.

I’d look at total cost instead.

If you expect ten hires and are paying an agency fee on every salary, calculate the likely total. Then compare that with the cost of an embedded solution, internal recruiter or hybrid model.

But also include founder and hiring-manager time. A cheap recruitment model that creates hundreds of irrelevant CVs and hours of administration may not actually be cheap.

What about hiring an internal recruiter?

For businesses with predictable long-term hiring, internal talent is often the right destination.

The question is timing.

If you have a six-month hiring spike followed by uncertainty, committing to another permanent salary may not make sense. Equally, if you know you’ll be hiring 30 people every year for the foreseeable future, relying entirely on agencies probably isn’t sensible either.

There is a middle ground. Embedded recruitment can provide temporary capacity while you build the internal function, or work alongside an existing talent lead during a growth period.

RPO shouldn’t mean handing recruitment to a call centre

One criticism of traditional RPO is that it can feel distant from the company.

For a startup, that’s a problem.

Candidates are judging the business from their first interaction. Whoever represents you needs to understand the product, funding story, founders, culture, role and market well enough to have a credible conversation.

That is particularly important in AI and developer tooling, where strong candidates will quickly spot when the recruiter doesn’t understand what the company does.

Can you combine the two models?

Absolutely.

You might use an embedded partner for a wider team build but run a particularly sensitive executive hire as a separate retained search. Or use retained search for the first few founding hires before moving into an embedded model once hiring volume increases.

The recruitment structure should change as the company changes.

Questions to ask before choosing

  • How many people are we genuinely going to hire?
  • Over what period?
  • How specialist are the roles?
  • How much internal recruitment capacity do we already have?
  • How much founder/hiring-manager time is recruitment consuming?
  • Do we need somebody to own the process, or simply source candidates?
  • What does each option cost across the entire hiring plan?

Final thought

RPO versus retained search isn’t really a debate about which recruitment service is “best”.

They solve different problems.

Retained search is excellent when you need depth and precision around a critical hire. Embedded/RPO recruitment is powerful when the problem becomes scale, process and sustained hiring volume.

Start with the hiring plan, then choose the model.


About Dataworks

Dataworks is a specialist recruitment partner to VC-backed AI startups. We support companies across the US and Europe through retained search, exclusive recruitment and embedded partnerships, covering GTM, engineering, data, product and leadership hiring.