🎯 Are you a patent litigator with a technical edge who wants more than just billable hours? Do you want to shape litigation product strategy for the fastest-growing AI company in IP? Do you want to own how we evolve the patent litigation product at a company that's rewriting the rules?
This is your chance to join a rocket ship! 🚀
We are looking for a super smart and talented Patent Litigator to lead and build out our patent litigation capability as we build Charts, our patent litigation product.
You'll be joining the most lean, talent-dense, and fast-moving legal team in London.
You'll be responsible for:
Conducting infringement and validity analysis across technical domains
Advising on litigation risk and developing strategic recommendations for clients using the platform
Working directly with the engineering and AI teams to shape how Charts handles litigation workflows
Supporting patent prosecution-to-litigation handoffs across the IP lifecycle
Contributing to product development by translating litigation expertise into platform features
As our Legal and Product Engineer (Patent Litigator), you will have extensive experience handling complex patent disputes through associate or senior associate roles at top-tier litigation firms.
3+ years of experience as an associate or senior associate in patent litigation
Technical background — ideally a patent attorney who moved into patent litigation (technical field agnostic: life sciences, electronics, mechanical, etc.)
Super smart, hard working, and high agency — the kind of person who thrives in fast-paced, ambiguous environments
Experience at elite patent litigation firms (e.g. Quinn Emanuel, Kirkland & Ellis, or equivalent calibre)
Strong analytical and strategic thinking with the ability to break down complex technical and legal issues
Based in NYC or London
Nice to have:
Experience across both life sciences and non-life sciences patent matters
Familiarity with AI/ML tools in legal workflows
Prior experience at a startup or in-house legal team
Dual-qualified or experience with cross-border patent disputes
Competitive base salary depending on skill and experience.
Significant equity — we want you to take ownership in Solve Intelligence and share in the success that lies ahead.
Full visa sponsorship.
Opportunity to work with a super smart and ambitious group of people building something people want.
Private medical insurance.
Free meals.
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 600+ 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 🚀
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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