Are you a high-agency, ambitious person looking 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 AI-for-legal landscape? Do you want to have ownership in a startup building something people want with significant traction? This is your chance to join a rocket ship!
đïž About the role
We are looking for a smart, high-agency engineer to lead our product growth efforts. Youâll operate at the intersection of engineering, product, and marketing. Youâll work across the full range of metrics, including product usage analysis, product engagement, user acquisition, pipeline optimization, and more.
Youâll be responsible for:
* Product usage analysis: Build dashboards (Posthog, Grafana, Datadog, etc.) to analyze usage behaviour and patterns.
* Usage optimization: Develop workflows to flag unengaged users and experiment with strategies to drive more engagement.
* Metric strategy: Work with us to define the key metrics we should be optimizing for.
* Top-of-funnel optimization: Help us run experiments to build top-of-funnel (track the performance of our paid ads, conferences, events, etc.) and help come up with novel ways to build top-of-funnel pipeline.
* Revenue & pipeline optimization: Help us optimize each step in our pipeline pre- and post-sale.
đĄAbout Solve Intelligence
Weâre the fastest growing startup building AI products to transform how IP professionals work. Weâre 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, weâve been growing super fast. Our revenue is increasing 20-30%+ month-on-month, and weâre 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).
Weâre on a high-growth trajectory, and weâre looking for people who want to join us on the journey to building a billion-dollar company.
Come join the rocket ship đ
đ Who youâll 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 trades per day.
Youâll also work with the rest of our super talented team of AI researchers, software engineers, patent attorneys, and go-to-market experts.
đ ïž What you bring
As our Founding Full-Stack Growth Engineer, you will be a driven, ambitious, and high-agency individual looking to have a big impact on the trajectory of a fast-growing AI startupâs product and growth. You might be a technical exâfounder or fullâstack engineer looking for high autonomy and the opportunity to have a significant impact.
Must haves:
* Strong fullâstack engineering skills (you can either be backend leaning, frontend leaning, or halfâhalf).
* Strong product sense.
* Interest in growth and the business side of things.
Preferred haves:
* Experience with product analytics tools (e.g. Posthog, Datadog, Grafana, etc.).
* Experience with launching or growing products.
đ What we offer
* Competitive base salary depending on skill and experience.
* 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.
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