Senior Tech Recruiter (Talent Partner)
Talent Partner & Technical Recruiter
(Senior / Staff-level Hiring)
London, United Kingdom · Hybrid / Full-time
About the role
Monolith AI is on a mission to empower engineers with AI that solves the toughest scientific and engineering challenges — from next-generation battery design to transformational industrial workflows. We’re a small, high-impact team that values curiosity, creativity and collaboration as we build world-class AI-enabled platforms.
Following Monolith’s acquisition by CoreWeave, we are entering a rapid scale phase and doubling our technical headcount over the next 12 months. We are looking for a highly technical recruiter to own the majority of our IC4+ engineering hiring, acting as a true extension of engineering leadership.
This role is not coordination-heavy or junior-screen focused. You will operate as a technical filter and hiring partner, independently assessing senior candidates and significantly reducing the time engineering leaders spend interviewing unqualified profiles.
The ideal person is commercially sharp, technically fluent, and confident making hiring recommendations that senior engineers trust.
What you’ll do
Own and execute end-to-end hiring for senior individual contributors (IC4+) across multiple technical disciplines
Independently assess candidates before they reach engineering interviews, maintaining a high technical bar
Run technical screens, take-home reviews, and structured behavioural interviews, synthesising signal into clear hiring recommendations
Partner closely with engineering leaders, challenging unrealistic requirements and advising on market realities
Manage 10+ concurrent requisitions without sacrificing quality or candidate experience
Proactively source for hard-to-fill, niche technical roles where passive candidates dominate
Represent and credibly sell Monolith’s vision within CoreWeave, especially to senior candidates who may be sceptical post-acquisition
Continuously optimise hiring processes for speed, signal quality, and scalability during organisational transition
Must-haves
Technical fluency
Comfortable reading and discussing Python code
Strong understanding of modern ML/AI infrastructure stacks (AWS, Kubernetes, MLOps)
Able to hold credible technical conversations with senior engineers
Can reliably distinguish genuine expertise from buzzwords, particularly in emerging areas such as agentic AI
Senior technical hiring track record
Proven success hiring IC4+ engineers across multiple disciplines
Experience recruiting for specialised roles such as ML Engineers, MLOps, DataOps, and platform-focused engineers
High-volume, high-bar execution
Demonstrated ability to manage 10+ open roles simultaneously while maintaining a strong quality bar
Assessment & decision-making
Designs and runs effective technical screens, take-home assessments, and behavioural interviews
Produces hiring recommendations that engineering leaders trust and act on
Proactive sourcing expertise
Advanced Boolean search and LinkedIn Recruiter skills
Track record of sourcing passive candidates in competitive technical markets
Important capabilities
Engineering partnership: Confident pushing back on unrealistic role requirements and advising with market data
Process optimisation: Improves interview loops to reduce time-to-hire without lowering quality
Post-acquisition positioning: Able to articulate Monolith’s roadmap and role within CoreWeave to senior, discerning candidates
Independent operator: Thrives with minimal support and ambiguity during periods of organisational change
Nice-to-haves
Experience hiring in a startup environment during or after an acquisition
Background recruiting within ML / AI-first companies
UK and/or European market knowledge (where applicable)
Why this role matters
This role is critical to our ability to scale. The right person will function as a technical hiring partner, not a CV-passer — dramatically improving signal quality and protecting engineering time while we grow.
- Department
- People & Ops
- Locations
- London, United Kingdom
- Remote status
- Hybrid
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