Account Executive/GTM

Are you passionate about AI and eager to work on groundbreaking projects? Do you want to be a major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the legal landscape? Do you want ownership in a startup building something people want with real paying users and significant traction? Here's your chance!

🏗️ About the role

<24 months since we launched, we’re already adding \~7 figures of ARR per month.

We’ve built a rockstar team of engineers, AI researchers, and patent attorneys.

We’re now looking for a super talented, high-energy, and ambitious GTM team member to build and scale our ARR to $1B+.

Internally, we refer to this role as ‘Product & Partnerships Counsel’. It is a full-stack AE role.

You’ll be responsible for:

• Building GTM motion: We’re building a generational AI company and plan to scale to $1B+ ARR. You’ll be the key person building our sales & growth strategy from the ground up to achieve this.
• Generating leads: Network with IP leaders and key decision makers. Go to conferences and events around the World to exhibit Solve’s products and network with industry leaders. Smash outbound via email/LinkedIn/phone calls and build our outbound playbook from the ground up. Grow and leverage your network to book demos and get warm intros.
• Demo’ing product: Show decision makers demos of our products. Teach them how they can leverage AI to transform their business and workflows. Be the one who shows them the future of IP.
• Closing deals: Follow up with leads. Negotiate and close deals. Work with our Technical IP team to facilitate successful onboardings. 
• Building product: Provide direct feedback to our team of AI PhDs, software developers, and patent attorneys on customer reactions, requests, and industry directions. Work closely with the technical team to direct the product roadmap (what to build, how to build it, and more).

💡About Solve Intelligence

We’re the fastest growing startup building AI products to transform how IP professionals work. We’re building an AI-powered end-to-end platform to help with every aspect of invention harvesting, patent generation, and IP portfolio management (see TechCrunch, Series A announcement).

One year since we started Solve Intelligence as three hackers building cool stuff with AI, we’ve been growing super fast. Our revenue is increasing 20-30%+ month-on-month, and we’re now selling to 300+ IP teams across the US, Europe, Asia, and South America. These include some of the largest law firms in the world such as DLA Piper, smaller boutiques, solo practitioners, tech startups, and large enterprises.

Our users love our product, reporting 50-90% efficiency improvements (see our testimonials).

We’re on a high-growth trajectory, and we’re looking for people who want to join us on the journey to building a billion-dollar company.

Come join the rocket ship 🚀

👋 Who you’ll work with

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 GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com.

Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he published 10+ publications and won awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech.

Angus (Chief Technology Officer and co-founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London-based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of t