Talent Acquisition Partner
TypeFull-time job
LocationLondon
Posted2 hours ago
Talent Acquisition Partner
Help take Solve Intelligence 3x in a single year. We’re looking for a recruiter with strong engineering hiring experience who wants to recruit across the business and help build our talent function.
🏗️ About the role
You’ll be an early hire in our talent team, owning searches from first outreach through to signed offer. Engineering recruitment will be a core part of your remit, alongside GTM, legal, operations and other functions as the business grows. You’ll need to enjoy that breadth and get to grips with unfamiliar roles quickly.
You’ll be responsible for:
Running multiple searches across engineering, AI research, GTM, legal and operations, from understanding the requirements to closing the offer.
Building pipelines through direct sourcing, using targeted outreach and newer AI sourcing tools to find candidates beyond inbound applications and agencies.
Deciding which searches need your attention most, understanding the business priorities behind them, and flagging risks early.
Working with hiring managers to define what each role requires and design assessments that help us make hiring decisions. You’ll need enough technical understanding to assess engineering candidates and discuss your judgement with the team.
Improving hiring quality and offer acceptance by understanding candidates’ motivations early and closing people with competing offers.
Keeping candidates informed throughout the process, with thoughtful outreach, timely updates and honest communication.
Helping build the talent function: keeping Ashby accurate, improving workflows and contributing to projects beyond your own searches.
🚀 Who you are
You’ve hired frontend, backend, full-stack and AI engineers, and you understand the differences between those searches. You can read a technical CV critically and hold a substantive first conversation with an engineer.
Your recent experience is either in-house at an early-stage startup or at a recruitment firm working with technical companies that set a high hiring bar. You’re comfortable working with limited support and deciding what needs your attention without waiting for direction.
You care about how recruitment is run. That shows in the outreach you send and the assessment notes hiring managers use to make decisions. You keep Ashby up to date, and candidates know where they stand.
🛠️ What you bring
Must haves
Direct experience hiring frontend, backend, full-stack and AI engineers.
Recent success in an in-house talent role at an early-stage startup, ideally VC-backed, with minimal support; or at a recruitment firm working with technical companies with a high hiring bar.
Experience using Ashby, ideally including improving how it is configured or used.
Hands-on sourcing experience and the ability to build a pipeline from scratch.
Fluency with newer AI sourcing tools, beyond LinkedIn Recruiter.
Strong written communication. Your outreach and candidate updates should be good enough to share as examples.
Demonstrated ability to close candidates with competing offers.
The ability to pick up new roles, understand requirements quickly and build processes from scratch.
Nice to haves
An agency or search firm background earlier in your career.
Experience building AI-powered recruiting workflows.
Experience hiring across multiple countries.
🎁 What we offer
£70,000 – £110,000 base salary depending on experience
Significant equity; we want you to take real ownership in Solve Intelligence
Full visa sponsorship
Opportunity to help build the talent function of a generational AI company
Private medical insurance
Free meals
🚀 About Solve Intelligence
Solve Intelligence is the fastest-growing startup transforming the IP landscape. Solve's AI platform manages everything from invention harvesting and patent generation through to litigation and licensing.
Growth: 20–30% MoM revenue growth; selling to 700+ global IP teams across 6 continents (DLA Piper, tech giants, boutiques, etc); 8 figures of ARR — all just ~2 years since we started.
Backing: $55M backing from YC, 20VC, Microsoft, Thomson Reuters, and the founders of top companies like Stripe, Perplexity, Tinder, Deel, Hugging Face, and Canva.
Impact: 50–90% efficiency and quality improvements.
See our latest Series B announcement.
We're on a high-growth trajectory, and we're looking for people who want to join us on the journey to building a generational AI company.
Come join the rocket ship 🚀
👥 Meet the founders
Sanj (Chief Research Officer and Co-Founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM projects on GitHub. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading, before the company was acquired.
Chris (Chief Executive Officer and Co-Founder): Chris did his undergrad at Imperial College London, his masters at the University of Cambridge, and his PhD in machine learning at UCL, during which he published 10+ papers and won awards at top AI conferences and journals. Prior to founding Solve, Chris worked at The Alan Turing Institute, InstaDeep, and Dyson.
Angus (Chief Technology Officer and Co-Founder): Angus holds an MEng in Computer Science. He led trade platform development at Coremont after roles at GCHQ and Qualcomm.
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Help take Solve Intelligence 3x in a single year. We’re looking for a recruiter with strong engineering hiring experience who wants to recruit across the business and help build our talent function.
🏗️ About the role
You’ll be an early hire in our talent team, owning searches from first outreach through to signed offer. Engineering recruitment will be a core part of your remit, alongside GTM, legal, operations and other functions as the business grows. You’ll need to enjoy that breadth and get to grips with unfamiliar roles quickly.
You’ll be responsible for:
Running multiple searches across engineering, AI research, GTM, legal and operations, from understanding the requirements to closing the offer.
Building pipelines through direct sourcing, using targeted outreach and newer AI sourcing tools to find candidates beyond inbound applications and agencies.
Deciding which searches need your attention most, understanding the business priorities behind them, and flagging risks early.
Working with hiring managers to define what each role requires and design assessments that help us make hiring decisions. You’ll need enough technical understanding to assess engineering candidates and discuss your judgement with the team.
Improving hiring quality and offer acceptance by understanding candidates’ motivations early and closing people with competing offers.
Keeping candidates informed throughout the process, with thoughtful outreach, timely updates and honest communication.
Helping build the talent function: keeping Ashby accurate, improving workflows and contributing to projects beyond your own searches.
🚀 Who you are
You’ve hired frontend, backend, full-stack and AI engineers, and you understand the differences between those searches. You can read a technical CV critically and hold a substantive first conversation with an engineer.
Your recent experience is either in-house at an early-stage startup or at a recruitment firm working with technical companies that set a high hiring bar. You’re comfortable working with limited support and deciding what needs your attention without waiting for direction.
You care about how recruitment is run. That shows in the outreach you send and the assessment notes hiring managers use to make decisions. You keep Ashby up to date, and candidates know where they stand.
🛠️ What you bring
Must haves
Direct experience hiring frontend, backend, full-stack and AI engineers.
Recent success in an in-house talent role at an early-stage startup, ideally VC-backed, with minimal support; or at a recruitment firm working with technical companies with a high hiring bar.
Experience using Ashby, ideally including improving how it is configured or used.
Hands-on sourcing experience and the ability to build a pipeline from scratch.
Fluency with newer AI sourcing tools, beyond LinkedIn Recruiter.
Strong written communication. Your outreach and candidate updates should be good enough to share as examples.
Demonstrated ability to close candidates with competing offers.
The ability to pick up new roles, understand requirements quickly and build processes from scratch.
Nice to haves
An agency or search firm background earlier in your career.
Experience building AI-powered recruiting workflows.
Experience hiring across multiple countries.
🎁 What we offer
£70,000 – £110,000 base salary depending on experience
Significant equity; we want you to take real ownership in Solve Intelligence
Full visa sponsorship
Opportunity to help build the talent function of a generational AI company
Private medical insurance
Free meals
🚀 About Solve Intelligence
Solve Intelligence is the fastest-growing startup transforming the IP landscape. Solve's AI platform manages everything from invention harvesting and patent generation through to litigation and licensing.
Growth: 20–30% MoM revenue growth; selling to 700+ global IP teams across 6 continents (DLA Piper, tech giants, boutiques, etc); 8 figures of ARR — all just ~2 years since we started.
Backing: $55M backing from YC, 20VC, Microsoft, Thomson Reuters, and the founders of top companies like Stripe, Perplexity, Tinder, Deel, Hugging Face, and Canva.
Impact: 50–90% efficiency and quality improvements.
See our latest Series B announcement.
We're on a high-growth trajectory, and we're looking for people who want to join us on the journey to building a generational AI company.
Come join the rocket ship 🚀
👥 Meet the founders
Sanj (Chief Research Officer and Co-Founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM projects on GitHub. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading, before the company was acquired.
Chris (Chief Executive Officer and Co-Founder): Chris did his undergrad at Imperial College London, his masters at the University of Cambridge, and his PhD in machine learning at UCL, during which he published 10+ papers and won awards at top AI conferences and journals. Prior to founding Solve, Chris worked at The Alan Turing Institute, InstaDeep, and Dyson.
Angus (Chief Technology Officer and Co-Founder): Angus holds an MEng in Computer Science. He led trade platform development at Coremont after roles at GCHQ and Qualcomm.
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