Nothing exists to make tech feel exciting again.
Founded in London in 2020, we’ve grown from idea to global challenger in just a few years. Backed by GV (Google Ventures), EQT Ventures, and C Ventures, and investors like Tony Fadell (iPod), Casey Neistat, and Kevin Lin (Twitch), we’re now sold in 40+ markets with millions of users worldwide.
Nothing's data function is being built out from an existing but fragmented estate — ERP, HRIS, Android/app telemetry, and a handful of bespoke trackers that have never been stitched together. You won't start from nothing. You'll refactor what's there, cut what isn't earning its keep, and build the connective tissue that turns scattered systems into a data layer people actually trust. You'll work directly with leaders across product, supply chain, commercial, and finance to find where data moves the needle fastest, and you'll have the room to put your own stamp on how it gets built.
What You'll Do- Map Nothing's highest-priority data use cases in your first 30-60 days by interviewing cross-functional leaders and diagnosing where data can move the needle fastest
- Refactor and connect ERP, HRIS, Android/app telemetry, and bespoke trackers into one coherent data layer
- Own the architecture end-to-end; you write the code, you make the tooling calls, you're accountable for what ships
- Own the cost efficiency of the data platform: track cloud and tooling spend, forecast COGS, and build with cost-per-user in mind from day one
- Group technical overlaps across use cases into a pragmatic build sequence; no isolated hacks, no over-engineered warehouses
- Build the data foundation clean and normalised enough to eventually power an internal company brain and agentic workflows
- Define what "good data" looks like at Nothing: standards, quality controls, and documentation that make it usable by others
- Deep hands-on engineering skill - you write code and build pipelines yourself, you don't just direct others
- A track record in complex environments: hybrid hardware/software companies, scaling fintechs, or similarly messy multi-system organisations
- Fluency in modern agentic and LLM workflows, with a clear view of what AI needs from a data layer to work reliably
- Commercial instincts; you frame your work in terms of decisions enabled and cost managed, not rows processed
- Judgement about when to build robust architecture and when a scrappier pipeline is the right call today
- Experience connecting disparate systems; ERP, HRIS, mobile telemetry, operational trackers into clean, reliable outputs
- Comfort operating as a senior individual contributor; but also can thrive with as part of a larger team of peers but enjoy staying in the weeds
London roles: Location: London (Kings Cross & Farringdon offices) Working Pattern: Full-time, in-office, five days a week. We can work around personal needs where it makes sense, but being together is how we do our best work. Commute: We ask that you live within a 60-minute commute of your office.
San Francisco roles: Location: San Francisco Working Pattern: Full-time, in-office, five days a week. We can work around personal needs where it makes sense, but being together is how we do our best work.
