Senior Pricing

**Description**:**About us**We are Digital Science and we are advancing the research ecosystem.We are a pioneering technology company, and our vision is of a future where a trusted and collaborative research ecosystem drives progress for all. We believe in better, open, collaborative and inclusive research. In creating the next generation of tools and working in partnership with the community we tackle some of the biggest challenges to research. In order to achieve our vision, we need innovative, inspiring and dynamic people to join our team. Want to join us?**About Overleaf**Overleaf is an online LaTeX editor and collaborative writing platform used by millions of researchers, students, academics and professionals around the world. We help people write, collaborate, and publish their work more efficiently.Our B2C business is a global subscription offering with free and paid plans. We monetise collaboration, document history, integrations, and higher usage limits through premium subscriptions**Your new role**We’re hiring a Senior Pricing & Revenue Analyst to own and evolve our global B2C pricing. You will design and maintain our global price architecture, run pricing experiments, model price elasticity, and provide clear, actionable recommendations that grow recognised B2C revenue across countries, plans, and customer segments.This is a hands-on analytical role with real commercial impact. You will be the primary specialist for B2C pricing, working directly with the VP Strategy & Growth (B2C) and partnering closely with Product, Marketing/Growth, Data/BI and Finance.**What you’ll be doing**:**Build and maintain global pricing foundations**- Design and maintain a coherent global price architecture across countries, currencies, and plans (monthly vs annual).- Define and update list prices, FX logic, and discount guardrails to keep pricing consistent, scalable and aligned with strategy.- Create and maintain pricing documentation, dashboards and tools that make price decisions transparent and repeatable.**Drive revenue impact through pricing**- Propose and prioritise pricing initiatives (e.g. list price changes, packaging tweaks, free-to-paid paywalls, discounts) with clear hypotheses.- Quantify the recognised revenue impact of pricing changes by market, plan, and cohort (especially monthly vs annual).- Turn insights into clear recommendations: what we should roll out, where, and with what expected revenue effect.**Develop and maintain elasticity & revenue models**- Build and maintain price elasticity models by segment (e.g. students, academics, professionals) and by geography.- Model forward-looking revenue and subscriber impact under different price and packaging scenarios.- Work with Finance and Data to ensure models are robust, validated and usable for forecasting and planning.**Increase decision velocity and quality**- Produce concise 1-2 page decision briefs for major pricing changes: context, options, data, revenue impact, risks, and recommendation.- Provide timely, data-backed answers to pricing questions from the VP B2C, Product, Marketing and Finance.- Create simple tools, templates, and frameworks to make pricing discussions faster and more structured.**Monitor the market and customer signals**- Track competitor pricing and packaging in B2C subscription / SaaS, especially in education and productivity tools.- Partner with UX/Research and Marketing to bring in willingness-to-pay and customer insight where relevant.- Identify pricing opportunities and risks by market (e.g. FX changes, local purchasing power, segment dynamics).**What you’ll bring to the role**:- 3-6+ years in pricing / revenue / commercial analytics roles, with significant exposure to B2C subscription / SaaS / PLG businesses.- Hands-on experience with global pricing (multiple countries and currencies), not just single-country.- Track record of designing and analysing pricing experiments and translating findings into revenue-impacting decisions.- Strong quantitative skills and comfort with tools such as SQL and Python or R, as well as Excel/Sheets for rapid modelling.- Experience building forecasting / elasticity / revenue models and using them in real-world decision-making.- Ability to turn complex data into clear narratives and recommendations for non-technical stakeholders (slides, memos, dashboards).- Comfortable working cross-functionally with Product, Marketing/Growth, Data/BI and Finance.- Exposure to academic / education / productivity tools or adjacent sectors.- Familiarity with experimentation platforms and BI tools (e.g. dbt, Looker, Mode, Tableau, etc.).- Experience with FX, local purchasing power, and regional discount strategies.- Strong written and verbal communication in English.**Living our Values**:We invest in, nurture and support innovative businesses and technologies that make all parts of the research process more open, efficient and effective.The ta