A Wave consultant sat down with every one of them. Nothing here is scraped, so the notice period, the salary and what would move them are confirmed.
Most recently they led backend work at a corporate backed energy and climate technology business of around 700 people, running a small team of engineers on a primarily Python codebase with some TypeScript. Much of the last stretch was absorbed by one large project that consumed team resources over an extended period. The wider delivery record covers building software from scratch in Python, Node.js and Rust on AWS serverless and container platforms.
The move was forced by redundancy rather than chosen. They're targeting a Python focused backend role with a clear path to a tech lead title, wanting technical challenge and backend depth alongside team leadership and senior influence on a product or SaaS business. Remote first with occasional London travel works, but they won't take 3 to 5 days on site in London and aren't interested in primarily frontend or TypeScript heavy roles. The recruiter flags competing offers that may land quickly.
Currently at a corporate backed energy and climate technology business of around 700 people, backed by AGL Energy, with over $99m raised, in the role since June 2025. Before that, a late stage marketing and advertising business of around 600 people, backed by Israel Growth Partners and Summit Partners. 6 employers to date, average tenure 2 years and a longest stint of 10 years 4 months.
A strong fit for backend work with clear market awareness.
Most recently leads revenue management and pricing at a large airline, where they built and shipped a live pricing algorithm in C++ and demand models covering hundreds of thousands of flights. The work paired dynamic pricing optimisation worth roughly £20m in annual revenue uplift with inventory waste reduction models, run end to end on Databricks and AWS from problem framing through to production monitoring, with two direct reports and an academic collaborator on the core pricing project.
Passively looking since late 2024 with no strong push factor, so this is about the right opportunity rather than an exit. Motivated by greater pricing complexity and scale, the chance to bring large language models into pricing, equity upside and a shorter commute. The recruiter describes a highly capable and self sufficient data scientist who ships MVPs and iterates quickly, with strong depth in pricing algorithms and A/B testing methodology, and who openly named two sided marketplace experience as a gap to develop. Three months notice.
Currently at a listed travel and hospitality business of around 14,000 people, with over $1.3bn raised, founded in 1995, in the role since October 2024. 4 employers to date, average tenure 12 months and a longest stint of 23 months.
Highly capable and self-sufficient, ships MVPs and iterates quickly, with strong depth in pricing algorithms.
Most recently the go to engineer at a travel and hospitality business of under two hundred people, working across both the booking platform and the simulator product areas and currently focused on the booking journey. Before that built a workflow automation product in React at a B2B software business. The wider career spans senior frontend, lead developer and systems administration roles on a long JavaScript background.
Moving because the product is increasingly in maintenance mode with limited career progression and a risk of redundancy. Wants a challenging, product focused role building new features and new products rather than maintaining existing systems, with clear progression. Rules out fintech and gambling and maintenance heavy environments, and will do a maximum of three days on site.
Currently at a travel and hospitality business of under two hundred people, backed by Imbiba and Cheyne Capital Management, with over $168m raised, in the role since November 2022. Before that, a Series C B2B software business of a few hundred people, backed by Techstars and Ballpark Ventures. Earlier, an insurance business of around 850 people, founded in 2006. 8 employers to date, average tenure 2 years 8 months and a longest stint of 6 years 3 months.
Described as the go-to engineer with strong product knowledge, valued across two product areas.
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