Senior Associate, GTM Data & AI

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 the semantic layer : Build and maintain the semantic layer and transformation logic behind every GTM dashboard, so reporting is fast, consistent and trusted.
• Model Salesforce and GTM data correctly : Write production-grade SQL to clean and model CRM data for reporting and AI, working with RevOps so Salesforce reflects reality.
• Build pipelines and close data gaps : Partner with data engineering to build the pipelines and analytic events that fill gaps in our GTM data.
• Build models that drive revenue decisions : Partner with RevOps on SQL and Python models for prospect ROI, revenue forecasting, and account health and expansion signals.
• Own the GTM data foundation : Set field definitions, naming conventions, tests and data quality standards across the GTM tech stack.
• Keep the AI in our BI sharp : Train Omni’s AI layer and build the context that gives Claude and other AI tools accurate, contextually aware answers.
• Build GTM AI workflows, with Claude at the core : Use Python, APIs and MCP connectors to build GTM workflows and automations, and assess new AI tools in our stack.
• Drive adoption and self-serve data literacy : Partner with GTM Enablement to roll out what you build, so GTM teams explore data in Omni autonomously.

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. The work is challenging. Scaleups are a challenge, and building category-defining products is a challenge. But there's a meaningful difference between a challenge and a struggle. At Primer, the right challenge comes with the right support: strong onboarding, a collaborative environment, and a team that is genuinely invested in your success. It's never something you face alone.

Our benefits

• We are fully remote and globally distributed; and have been since day one
• Competitive share options
• Flexible 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

• Data modelling : You design reliable, reusable data models, not just dashboards on top of someone else’s.
• Semantic layer experience : You’ve built and owned a semantic or metrics layer (Omni, LookML, dbt or similar).
• SQL fluency : Joins, CTEs, window functions and optimisation.
• Python : For data manipulation, automation and API integration.
• CRM data experience : You know how Salesforce (or similar) data is structured, where it goes wrong, and how to model it.
• A solid data foundation : 3-5 years in analytics engineering, data analytics or revenue operations.
• An AI-forward mindset : You share our ethos of embedding AI into how work gets done.
• Clear communicator with high autonomy : You explain data to non-technical stakeholders, spot the opportunity, and go build it.

Nice to have

• Hands-on AI experience: LLM workflows, APIs, MCP
• Self-serve adoption or enablement experience
• dbt, Snowflake or similar tooling
• Omni or a comparable BI tool
• Payments, fintech or B2B SaaS experience