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.
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.
- Keep the AI in our BI sharp: Continuously train and improve our BI tool’s (Omni) AI model so that natural-language queries return accurate, contextually aware results.
- Partner with data engineering: Own and maintain the semantic data layer and transformation logic. Identify where missing data sources are limiting GTM intelligence and work with the data engineering team to build the pipelines.
- Surface pipeline and account intelligence: Build models and dashboards that surface 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 and build 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.
- Build GTM AI workflows: Work with GTM stakeholders to spot processes where in-house AI workflows unlock real self-serve value.
- Own adoption and impact: Partner with GTM Enablement on training and documentation to ensure rollouts stick.
- Promote self-serve data literacy: Coach GTM stakeholders to explore data autonomously.
- Stay ahead of the AI landscape: Proactively assess new AI tools and features in Primer's existing tech stack.
Culture at Primer
We're building a culture where people can do their best work and be proud of the impact they have. We work remotely, and have done since day one. 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.
Our benefits
- 🌍 We are fully remote and globally distributed.
- 💰 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 and have built workflows or automations using LLMs.
- Strong understanding of APIs and MCPs: You know how to retrieve data from APIs and think in terms of integrations.
- CRM data experience: Experience with Salesforce or similar CRM data structures.
- Clear communicator: Ability to explain data and AI concepts to non-technical stakeholders.
- High autonomy: Ability to identify opportunities and build solutions in ambiguous environments.
Nice to have
- Payments or fintech experience.
- Experience with dbt, Snowflake or similar data tooling.
- Python or scripting proficiency.
- Omni or comparable BI tool experience.
- Prompt engineering practice.
