
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.
- 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: 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 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 for prospects 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 to produce high-quality outputs.
- Build GTM AI workflows: Work with GTM stakeholders and Primer's AI Strategy & Enablement Lead to build in-house AI workflows, skills, and artifacts.
- Own adoption and impact: Partner with GTM Enablement on training and documentation to ensure high adoption and measurable impact of GTM AI use cases.
- Promote self-serve data literacy: Coach GTM stakeholders to explore data autonomously using Omni.
- Stay ahead of the AI landscape: Proactively assess new AI tools and features to make clear recommendations on adoption.
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: Fluent in writing SQL, including joins, window functions, and aggregations.
- Hands-on AI experience: Practical experience using AI tools, building workflows or automations using LLMs.
- Strong understanding of APIs and MCPs: Comfortable retrieving data from APIs, triggering actions, and operating at the boundary between data and tooling.
- CRM data experience: Understanding of Salesforce (or similar CRM) data structuring and modeling for reliable reporting and AI consumption.
- Clear communicator: Ability to explain data and AI concepts clearly to non-technical stakeholders.
- High autonomy: Comfortable operating in ambiguous environments and driving projects independently.
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
What we offer
- Fully remote and globally distributed team
- 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)
Timezone overlap
UTC+0–+3
Benefits
Equity, Unlimited PTO, Coworking, Equipment, Home office, Learning, Health, Commission, Parental leave
Open to
Europe
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