Quick Summary
About Nothing Nothing exists to make tech feel exciting again. We’re building a different kind of technology company, one that puts design, emotion,
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.
Research isn't an afterthought at Nothing—it's baked into how we build. Our Research team sits right at the heart of product development, working directly with Product, Engineering, Design, and Marketing to turn assumptions into evidence. We validate everything: from core software features to hardware performance to how the entire product experience lands in users' hands. We're solving three hard problems right now: understanding how hardware and software work together in the real world, turning messy datasets into insights that actually change how we build, and scaling our validation engine so fast-moving teams can stay grounded in data without waiting weeks for answers.
Responsibilities
~1 min read- →Execute, analyse and automate statistically rigorous pre- and post-launch research that delivers granular insights per product and per function, shaping the next generation of our products.
- →Translate complex datasets into clear, evidence-based narratives that inform critical product and business decisions—turning numbers into stories people actually act on.
- →Build interactive dashboards that allow stakeholders to explore, compare and filter data independently, reducing reliance on research bottlenecks.
- →Run product validation and lifecycle research across our portfolio, blending quantitative rigour with qualitative methods (interviews, usability testing, in-person sessions) to provide context behind the numbers.
- →Use SQL fluently to extract, manipulate and analyse data, alongside other analytical languages or tools where relevant.
- →Collaborate with Product Managers, engineers, designers and marketing teams to plan, execute and scale research initiatives across a fast-moving product environment.
- →Embed research thinking within product teams, promoting data-driven decision-making across the organisation.
- Comfort operating in fast-moving product environments where priorities shift and speed matters—you thrive in scrappy, evolving teams rather than rigid processes.
- Ownership mentality: you design research from hypothesis through insight delivery, taking end-to-end responsibility without needing to be prompted or managed.
- Experience combining quantitative and qualitative research methods, understanding when to dig into stats and when to sit down with real users.
- Solid grounding in quantitative product research, statistical thinking, and high proficiency in SQL—you're comfortable in spreadsheets and databases.
- Strong data visualisation skills (Looker Studio, Whatagraph or similar) paired with excellent communication and storytelling—you make complex findings clear and compelling.
- Pragmatism: you know when a quick study beats perfect analysis, and you're not afraid to iterate or challenge assumptions if the evidence points elsewhere.
- A track record in consumer software, mobile or electronic products; startup or scale-up environments; or fields like HCI, Psychology, Cognitive Science, or Sociology—any background that's taught you how people actually use things.
You'll have direct influence on products used by millions. Research here isn't a support function—it shapes roadmaps, kills bad ideas early, and gives teams the clarity to move fast. You'll work with people who care deeply about evidence and quality, and you'll have the autonomy to own your work from start to finish. We move quickly because we're small and independent, which means your insights land faster and you'll see the impact of your work reflected in shipping products. If you're energised by the intersection of rigorous research and real-world product iteration, and you want to grow your craft in a company that genuinely listens to data, this is the role.
We build better tech by moving fast. That speed demands direct collaboration and shared creative energy. We believe the best work happens when we're together.
- Location: London (Kings Cross & Farringdon offices).
- Working Pattern: This is a full-time, in-office role (5 days a week). We move fast, and that means being physically present. We offer flexibility around personal needs, but we focus on the magic that sparks when we’re all in the same room.
Location & Eligibility
Listing Details
- Posted
- April 23, 2026
- First seen
- April 23, 2026
- Last seen
- May 2, 2026
Posting Health
- Days active
- 8
- Repost count
- 0
- Trust Level
- 37%
- Scored at
- May 2, 2026
Signal breakdown
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