Senior GTM Engineer (Revenue Operations)

Requirements

• 5+ years in GTM Engineering, RevOps, Sales/Marketing Ops or a technical operations role in a high-growth B2B SaaS company. Equivalent software engineering experience with GTM domain exposure is equally valued
• Expert builder: you architect and build end-to-end. You have a track record of GTM systems you have designed and shipped
• Expert-level experience with Salesforce and at least two of: Clay, Gong, HubSpot, Outreach or equivalent platforms
• Hands‑on experience building AI agents or LLM‑powered workflows in a GTM context
• Strong data and analytics skills: you can pull data from a warehouse (Snowflake, BigQuery), build complex analyses and create dashboards that drive decisions
• Independent operator: you own workstreams end-to-end with minimal guidance, set your own project plans and manage stakeholder expectations
• Translate GTM data and automation outputs into clear commercial recommendations for sales and marketing leaders
• Front-line GTM experience (sales, partnerships or SDR) is a strong plus
• Growth mindset: you stay current on the GTM Engineering and AI landscape and actively push yourself and your team to improve

What the job involves

• The GTM Engineering team sits within Revenue Operations and is the builder layer of Personio's AI-Powered GTM programme
• We architect and deploy automated workflows, AI agents and data enrichment systems that make our go-to-market teams faster, smarter and more effective
• We are looking for a Senior GTM Engineer (RevOps) to join the team as a senior individual contributor, reporting to the GTM Engineering Lead
• You will independently own complex workstreams end-to-end, set engineering standards for the team, and drive Personio's ambition to be a top-10% AI-Powered GTM organisation globally
• Own the technical architecture of Personio's GTM automation layer, designing scalable systems across Salesforce, Clay, Gong, LLMs, Workato and Snowflake
• Independently scope, architect and deliver complex automation projects end-to-end: from requirements through build, testing, deployment and iteration
• Lead the design and deployment of AI-powered agents and LLM workflows across the GTM organisation, including research agents, deal support systems and automated CRM hygiene
• Build advanced signal-based outbound systems: multi-source intent signal ingestion, intelligent scoring, waterfall enrichment and automated sequence orchestration
• Mentor and coach junior team members with technical guidance and work reviews
• Partner directly with GTM leaders to identify high-impact automation opportunities and translate business problems into technical solutions
• Drive rapid experimentation: design, run and analyse tests on outbound plays, enrichment strategies and agent configurations
• Evaluate emerging AI capabilities and make build/buy/integrate recommendations to leadership