Hiring in translation technology
The software layer of the language industry — translation management systems, computer-assisted translation tools, and the connectors that move content between content systems and translation systems. Global Search RC places the commercial and go-to-market leadership that grows these platforms: VPs of sales, solutions consultants and enterprise sellers who can take language technology to market.

Roles
What roles exist in translation technology?
- VP of salesOwns the entire go-to-market for a language business: the number, the sales organization, the commercial model and how the company sells as machine translation reshapes what it is selling.
- Solutions consultantThe pre-sales technical partner to the sales team at a language-technology company — scoping, demoing and designing the solution that wins and survives implementation.
- Enterprise account executiveCarries a quota selling language services or language technology into enterprise accounts — a consultative, long-cycle, multi-stakeholder sale that rewards genuine domain credibility.
Also hired here
- Chief revenue officer
- VP of marketing
- Partnerships and alliances lead
- Customer success director
- Revenue operations lead
Supply
What makes translation technology hard to hire for?
Selling translation technology needs someone who can run a technical, multi-stakeholder enterprise sale and stay credible with a localization buyer at the same time. Most enterprise sellers don't have the domain, and most domain experts can't carry the sale. The population that has both is small, category-specific, and usually already employed.
The category is also repricing. As AI changes what a platform actually sells, the commercial leaders worth hiring are the ones who can reposition the offer — not just run last year's motion harder — and that is a smaller group again.
Cycle
What does the hiring cycle look like?
Commercial-leadership searches here run long. The qualified population is small and mostly passive, and the strongest candidates are assessed on whether they can reposition an offer as AI changes the category, which is a harder thing to screen for than a quota history.
Getting in
How do you move into translation technology?
Most commercial leaders here come up through enterprise software sales and acquire the domain, or move across from the service side into sales with the domain already in place. The second group is undervalued and often outperforms, because credibility with a localization buyer is harder to build than sales method.
Questions
Hiring in translation technology: common questions
- Should we hire a seller from software or from localization?
- For a commercial-leadership or solutions role, hire the person with domain credibility and coach the sales method — not the other way around. A localization buyer who has been sold to badly for twenty years can tell within minutes whether a seller understands their operation, and that credibility is far harder to teach than a sales process.
- Why is commercial talent so hard to fill in translation technology?
- Because the sale is consultative and technical, the buying committee spans localization, engineering and procurement, and the category is small. Commercial leaders who have genuinely carried a number in this space are a short, well-known list — which is exactly where a retained, mapped search earns its keep.
How we hire for it
Four practices, one vertical
- Executive searchRetained search for the roles that set direction.
- Talent searchSpecialist individual contributors and middle management.
- Interim expertiseContract and fractional cover for a defined piece of work.
- Growth advisoryDelivery model change, AI adoption, and the org design that follows.
Elsewhere
The other eight verticals
- Localization servicesLSPs and in-house localization teams. Commercial, operations and delivery leadership.
- Speech technologyASR, TTS and voice. Commercial and go-to-market leadership for speech products.
- AI and machine learningAI and ML applied to language. Commercial and business-development leadership for language-AI and data products.
- Natural language processingNLP and evaluation. Commercial and pre-sales leadership for language-model products.
- Language data and annotationLanguage data and annotation. Commercial and program leadership for data services.
- Interpretation and RSIRemote and on-demand interpreting. Commercial and operations leadership, healthcare-driven.
- Media localizationSubtitling, dubbing and access services. Commercial and operations leadership.
- Gaming localizationPublisher and studio-side games localization. Commercial and production leadership.
Hiring in translation technology?
A consultation is a 30-minute call about the role, the market and whether the brief is winnable as written.