Data Writer and Editor in London

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

Who we are

Stripe’s Editorial team is premised on two notions: that ideas are essential ingredients in fueling economic progress; and that many of the best ideas are undervalued. Works in Progress, our magazine of underrated schemes to improve the world, recently branched out into print subscriptions. Stripe Press, our in‑house imprint canonises ideas for Progress—new and old—in beautiful editions. The team recently celebrated one million books sold. One consequence of building infrastructure at Stripe’s scale is that we see the economy forming in real time. New categories appear before they have names. New business models take shape quietly, then suddenly feel inevitable. Patterns emerge in how people build, sell, hire, and get paid. These signals matter — and sharing them helps policymakers, business leaders, media and the public better understand where the economy is headed.

What you’ll do

• We are looking for an entrepreneurial, analytical, curious data writer and editor to join Stripe’s editorial team. In this role, you will partner closely with Stripe’s chief economist to explore datasets that cover millions of companies and trillions of dollars of transactions, and uncover macroeconomic trends, industry shifts, and pockets of innovation.
• You’ll turn them into enthralling writing for internet audiences including startup founders, other business leaders, policymakers, and media.
• You’ll distribute your stories across lots of channels, including new ones you’ll run (e.g. Substack), traditional media, social media (you’ll probably tweet a lot yourself), and keynotes delivered by our founders.
• You’ll use LLMs and other AI tools to rapidly prototype analysis, writing, and visuals.

Responsibilities

• Work with Stripe’s data science team to find and interpret signals in Stripe’s data that illuminate emerging trends, new categories, and structural shifts in the global economy.
• Scour publicly available macroeconomic data to weave into stories about trends we’re seeing on Stripe.
• Own data stories end-to-end — from forming the hypothesis, to exploring and analyzing data, to shaping the narrative, visualization, and final content, all partnering closely with our head of economic research.
• Turn complex datasets into clear, elegant visualizations that make ideas legible and persuasive.
• Publish original data-driven editorial, and help ensure the strongest ideas travel — through social, press, partnerships, and speaking platforms.
• Run Stripe Economics, and launch other new editorial channels (e.g. Substack, Twitter) to disseminate data stories and build online communities around them.
• Work closely with the Economics, Data Science, and Policy teams at Stripe to refine questions, validate findings, and uphold a high bar for rigor.
• Collaborate with external researchers, academics, and journalists to extend the reach and impact of Stripe’s economic insights.

Who You Are

• You’re highly entrepreneurial, enjoying devising and launching new ideas, and relentlessly improving what we already do.
• You have a knack for turning raw data into a clear insight, a memorable chart, and a story people want to read.
• You bring taste, curiosity, and a strong editorial point of view, alongside the technical ability to work with data.
• You have a journalist's instincts — drawn to early signals, skeptical of easy narratives, and motivated by explaining not just what is happening, but why it matters.
• You care about craft, write well, and enjoy working across disciplines to turn complex systems into clear, rigorous stories.

Minimum Requirements

• Experience working with large datasets and producing accurate, public-facing analysis.
• 5 years of experience publishing original work (e.g. running a Substack/newsletter, or writing within a newsroom or media organization).
• Exceptional writer across short and long formats.

Preferred Qualifications

• Experience with data science tools e.g. R, python, or equivalent.
• A strong and proven editorial point of view.
• Experience in a fast‑paced newsroom or editorial environment.
• Deeply engaged with online discourse, with an established presence on social media or track record of building an audience for your writing.
• Experience creating data visualizations for publication.
• A track record of developing new and creative content formats.
• Experience leading projects and partnering closely with cross‑functional teams.

In‑office expectations

Office‑assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in‑office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in‑person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

The annual salary range for this role in the primary location is £100,800 - £151,200. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.