Head of Data
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
- Map Nothingâs highest-priority data use cases in your first 30-60 days, interviewing cross-functional leaders to surface where data can most directly move the needle
- Design and build targeted pipelines that solve multiple business problems simultaneously connecting ERP, HRIS, Android/app telemetry, and bespoke trackers into a coherent data layer
- Own the architecture end-to-end: youâll write the code, make the tooling calls, and be accountable for what gets built
- Identify technical overlaps across use cases and group them into a pragmatic build sequence; no isolated hacks, no over-engineered warehouses
- Ensure the data foundation is clean and normalised enough to eventually power an internal company brain and agentic workflows
- Evaluate and select modern, lightweight tooling that accelerates our timeline rather than locking us into legacy platforms
- Define what âgood dataâ looks like at Nothing - standards, quality controls, and the documentation that makes it usable by others
Requirements
- Deep hands-on engineering skill: you write code, you build pipes, you donât just direct others to do it
- 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, and a clear understanding of what AI needs from a data layer to function reliably
- Commercial instincts: you frame your work in terms of decisions enabled and revenue generated, not rows processed
- Strong judgement about when to build robust, scalable architecture and when a scrappier pipeline is the right answer today
- Experience connecting disparate systems - ERP, HRIS, mobile telemetry, operational trackers into clean, reliable outputs
- Comfort operating as an individual contributor at senior level: you thrive without a team beneath you, and you enjoy getting into the weeds
Benefits & conditions
- Location: London (Kings Cross & Farringdon offices) or San Francisco (Jackson Square)
- 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.
About the company
Weâre building a different kind of technology company, one that puts design, emotion, and human creativity at the heart of everything we do. From the way our products look and feel to how we communicate and show up in culture, we believe technology should make you feel something.
Founded in London in 2020, weâve 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), weâre now sold in 40+ markets with millions of users worldwide., Nothingâs data function is being built from scratch, and this is the role that starts it. Youâll work directly with our leadership team across product, supply chain, commercial, and finance to map the companyâs most critical data problems and build the infrastructure that solves them. The goal isnât a perfect data warehouse. Itâs clean, normalised data that powers real decisions today and our AI ambitions tomorrow. Youâll be the architect, the engineer, and the strategist, and youâll have the autonomy to do it your way.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role â technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Navigating the AI Shift
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?
What is Software Engineering in the Age of AI?