Dedicated performance manager
One person owns stakeholder relations end-to-end. They coordinate with our internal recruitment experts across every open role, manage the pipeline, and report back to your business on progress and process efficiency.
MODEL: SECURE
Built for the most challenging hires in your roadmap.
Secure gives you certainty when looking to make senior appointments, target narrow talent pools, hire in talent-scarce locations, or close vacancies you've had open too long. You unlock highest priority resource, full passive market coverage, and a search that runs to completion.
Who Secure works for.
Building EIT’s data, software and systems engineering teams to power its world-leading AI research mission in Oxford.
How we hired General Autonomy its first ML Robotics Scientists to build its foundational robot-learning team.
How we built the foundational AI and ML teams to support social media firm ShareChat's global expansion.
Once you're running multiple searches across several disciplines at the same time, individual search partnerships stop being efficient. Briefing agencies per role creates duplicated outreach, increased admin, inconsistent candidate experience, and a version of your employer brand that's shaped by whoever happened to reach a candidate first.
The alternatives have their own limitations. Building an internal TA team takes three to six months to ramp, requires tooling investment, and builds networks from scratch. Headcount is permanent and capacity fixed.
And a generalist talent function struggles against hyper-specialist candidate markets – ML infrastructure, robotics systems, defence-cleared engineering – exactly where we have networks and heritage.
A traditional embedded recruiter provides single-person coverage across all areas. One network, one point of failure when volume increases, and no depth in any specific discipline.
Embed is built to address the inefficiencies in these solutions, and give you a lower-cost-per-hire, higher-quality recruitment solution.
How Embed works.
Most embedded models put a recruiter on your team. Our embedded model gives you a minimum of one specialist per function you’re hiring into, each coming with a network built specifically around that discipline. So the people hiring for your applied ML engineer roles, for example, have already spent their entire careers building relationships with those ML engineers.
We appoint a dedicated performance manager to act as your single point of contact, and provide you total pipeline visibility through a bespoke candidate management platform tailored to your processes.
Flow of talent