We are on a truly exciting journey as a company. We're growing quickly, investing in our teams, and have bold plans for the future. To support that growth, we're looking for a Principal GTM Data Operations Engineer to join our Data team.
The Role in Three Bullets
- Own the quality standard and roadmap for our US and UK go-to-market data pipeline, targeting 90% first-pass sales acceptance.
- Lead a small technical team as a player-coach: set the standards and stay hands-on.
- Evolve the platform from a batch pipeline into a signal-driven system that routes the right accounts to the right sales pod at the right time.
Let's be honest!
This is a player-coach role: you will lead an international team and stay hands-on with the systems, not just manage from a distance. You will be held to clear numbers (data quality, sales acceptance rates and the pipeline your team creates), and you will also be rebuilding a batch pipeline into a signal-driven platform while it runs. If you want a purely strategic or purely hands-on role, this is not it.If you need a bit more information...
We are hiring a senior technical leader to own and scale MPLC's go-to-market data platform: an AI-driven pipeline that sources, enriches, qualifies and de-duplicates accounts, then delivers them rep-ready into Salesforce and our sales engagement platform. Success is measured on data quality, sales acceptance rates and the pipeline your team creates.Why you'll love this role
- Clay expertise: enrichment tables, waterfall logic and AI agents in production, with credit spend under control.
- Python: build, maintain and debug scraping and data pipeline scripts without a developer on call.
- Quality standards: you have defined "sales-ready" and built the QA process and SOPs to enforce it.
- Salesforce fluency: field mapping, deduplication logic and CRM hygiene.
- Systems thinking: connect scrapers, enrichment, governance tools, Salesforce and AI agents through APIs, webhooks and MCP, and document it for clean handover.
- AI-first: you have shipped AI agents in a production GTM pipeline and measured the results.
- Leadership: you have led or mentored at least one technical peer, and work well with IT, Salesforce admins and engineers on security and data access.
Experience we are looking for
- 8+ years in GTM engineering, revenue operations engineering or B2B data engineering, with direct go-to-market impact.
- Experience with a deduplication or governance platform (Openprise, RingLead or similar).
- A strong plus: building net-new account detection pipelines using company registry data, ZoomInfo, Dun & Bradstreet or similar.
Benefits
- Salary between £65,000 and £75,000 per year depending on experience
- Remote role with occasional travel
- 25 days annual leave plus bank holidays
- Private health insurance with optical and dental cover and an online GP service
- Life insurance