Want to know if this job is worth applying to?
Greater London, England, United Kingdom
Onsite
Available
Wordsmith is building the legal operations platform for in-house teams, and we are growing fast.
We believe in-house legal is becoming one of the most important functions in the AI era. Every business is moving faster, but legal work is still too often scattered across inboxes, chats, documents, and disconnected systems.
Wordsmith brings that work into one system. Requests come in from across the business, AI agents handle the routine, lawyers stay in control where judgment matters, and every step is captured as work happens.
We are built for in-house legal, not law firms. Our goal is to help legal teams move faster, reduce unnecessary external counsel spend, and become a function the business can run with.
Our product is only as good as the people who build it. You'll own R&D hiring from intake to signed offer: Product Engineers, Applied AI and LLM Engineers, Data Scientists, Product Managers and Designers. You'll partner with engineering and product leaders to define what great looks like at each level, run technical processes that candidates respect, and close people who have offers from AI labs and big tech. This is not a coordination role.
Deliver bar-raising R&D hires each quarter
Own a robust, fair and fast recruiting process that is optimized to hire the best talent vs the best interviewers
Source engineers directly: GitHub, research communities, alumni networks and competitor teams, with AI-personalised outreach
Run technical loops that move fast: tight take-homes, calibrated interviewers, debriefs within 24 hours
Own the candidate from first message to first day, and close against higher cash with equity, scope and the problem
Report on your funnel every week and fix what the data shows
5+ years of full-cycle recruiting, with at least 3 hiring software engineers at product-led tech companies
Comfortable discussing stacks, levels and system design with engineers, and spotting weak signal
A track record you can put numbers on: hires per quarter, offer acceptance, how your hires performed
Most of your recent hires sourced by you, not from inbound
Fluency with Ashby or a similar ATS, and real use of AI in your own workflow
Hired AI, ML or LLM engineers
Hired product managers and designers alongside engineering
Relocated engineers into the UK, including visa sponsorship
