Growth Engineer
Solve Intelligence, London +1
- Pay
- $100K – $250K
- Work type
- Onsite
- Level
- Not stated
- Area
- Software engineering
- Posted
- Mar 10, 2026
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About the role
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!
🏗️ ABOUT THE ROLE
We are looking for a smart, high-agency individual with frontend-leaning software engineering experience to lead our product growth efforts. You’ll operate at the intersection of engineering, product, and marketing. You’ll work across the full range of metrics, including product usage analysis, product engagement, user acquisition, pipeline optimization, and more.
You’ll be responsible for:
- Product usage analysis: Use dashboards (Posthog, Grafana, Datadog, etc.) to analyze usage behaviour and patterns, and then use that to (1) steer our top-of-funnel growth marketing and (2) drive engagement across our existing customer base.
- Top-of-funnel optimization: Come up with novel ways to build top-of-funnel pipeline, and run creative experiments to build top-of-funnel (embed product features in SEO blog posts, track the performance of our paid ads, conferences, events, etc.).
- 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.
- Revenue & pipeline optimization: Help us optimize each step in our pipeline pre- and post-sale.
👋 WHO YOU’LL WORK WITH
Sanj https://www.linkedin.com/in/sanj-ahilan-844b33137/ (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 http://Blockchain.com.
Chris https://www.linkedin.com/in/chris-parsonson/ (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 https://www.linkedin.com/in/angus-parsonson-24935914b/ (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.
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Listed on Solve Intelligence's Ashby job board; checked 2 h ago. First seen by us 34 h ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.