An Introduction to Primer
Primer is the unified infrastructure for global payments. We give finance and payments teams the visibility and control to reduce complexity, improve performance, and capture more revenue - all from a single platform. Backed by Sofina, Peak XV Partners, ICONIQ, Tencent, Accel, and Balderton, we're building the payments layer the world's best companies rely on.
What will you be doing?
- Own Primer's GTM intelligence layer: Maintain and continuously improve the dashboards and data models at the core of how our GTM teams operate and make decisions. You'll identify gaps, build new views, and ensure the data our teams rely on is accurate, trusted, and acted upon.
- Keep the AI in our BI sharp: Continuously train and improve our BI tool’s (Omni) AI model so that natural-language queries, whether through Omni directly or via Claude, return accurate, contextually aware results.
- Partner with data engineering to optimise performance, and build what's missing: Own and maintain the semantic data layer and transformation logic so that dashboards are fast, consistent, and built on a foundation that scales.
- Surface pipeline and account intelligence: Build models and dashboards that go beyond historical reporting - surfacing engagement signals, account health indicators, and expansion opportunities.
- Model Salesforce data correctly: Ensure CRM data is well-structured, correctly modelled, and fully leveraged in reporting.
- Build models that drive revenue decisions: Partner with RevOps to develop data models that calculate potential ROI for prospects evaluating Primer products, and build the forecasting infrastructure.
- Own the GTM data foundation: Define and maintain field definitions, naming conventions, and data quality standards across the GTM tech stack.
- Build the AI context layer for GTM: Create and maintain the shared knowledge infrastructure that gives AI tools, including Claude, the right context to produce high-quality outputs.
- Build GTM AI workflows, with Claude at the core: Work with GTM stakeholders to spot processes where in-house AI workflows, skills and artifacts unlock real self-serve value.
- Own adoption and impact, not just the build: You own the rollout until it sticks, partnering with GTM Enablement on training and documentation.
- Promote self-serve data literacy: Coach GTM stakeholders to explore data autonomously.
- Stay ahead of the AI landscape: Proactively assess new AI tools and new features in Primer's existing tech stack.
What's the culture like at Primer?
We're building a culture where people can do their best work and be proud of the impact they have. You'll be working with people who are mission-driven, smart, and reflective, and who are genuinely invested in building exceptional products and delivering success for our merchants. We work remotely, and have done since day one. We believe that building a successful, profitable company goes beyond proximity. We invest in our relationships through great remote working practices and thoughtfully designed face-to-face time, including workations, our annual company retreat, and access to co-working spaces across most major cities.
Our benefits
- 🌍 We are fully remote and globally distributed; and have been since day one
- 💰 Competitive share options
- 🌴 Uncapped holiday, with 25 days minimum to be taken
- 🗣️ Co-working space access across major cities
- 📅 Workations & Company Retreat
- 💻 The best equipment for your role
- 🏠 £500 towards your home office setup
- 🔎 Generous learning budget
- 🏥 Private Medical Insurance
- 📈 A broad set of additional perks and benefits (depending on location)
What we’d love to see
- Solid data and analytics foundation: 3-5 years of experience in a data analytics, BI, or revenue operations role.
- SQL proficiency: You write SQL fluently (Joins, window functions, aggregations).
- Hands-on AI experience: You use AI tools in your daily work, have built workflows or automations using LLMs.
- Strong understanding of APIs and MCPs: You know how to retrieve data from APIs, trigger actions via them, and think in terms of integrations.
- CRM data experience: You understand how Salesforce (or similar CRM) data is structured, where it tends to go wrong, and how to model it.
- Clear communicator with a coaching instinct: You can explain data and AI concepts to non-technical stakeholders clearly.
- High autonomy in ambiguous environments: You identify the opportunity, make a case for it, and go build it.
Nice to have
- Payments or fintech experience: Familiarity with the metrics, data models, and commercial dynamics of a payments or B2B SaaS business.
- Experience with dbt, Snowflake or similar data tooling.
- Python or scripting proficiency.
- Omni or comparable BI tool experience.
- Prompt engineering practice.
