GTM Engineer

About the role

We are looking for a forward-thinking GTM Engineer to help build and scale a modern, data-driven prospecting engine. You'll play a pivotal role in shaping our go-to-market infrastructure, developing and maintaining systems that empower our Sales teams to work smarter and faster. This role blends data engineering, automation, and process optimization to accelerate revenue growth.

Responsibilities

• Design, build, and maintain a centralized, scalable account database that is continuously enriched and optimized for quality and accuracy
• Architect and maintain robust data pipelines to ensure seamless, bi-directional synchronization between the account database and key systems like Salesforce, preserving data integrity and usability across teams
• Manage the flow of data between operational systems and a centralized warehouse or database, ensuring clean, timely, and accessible data for analysis and automation
• Design and implement cost-effective strategies for acquiring and enriching account data from external sources, including the development of custom scrapers when appropriate
• Analyze historical account data to uncover correlations with positive outcomes, collaborate with business stakeholders to define prioritization logic, and implement scoring algorithms to guide our outbound strategy and focus.
• Develop automations that amplify the productivity and effectiveness of our sales reps
• Collaborate closely with RevOps, Sales Leadership, and other GTM stakeholders to translate business needs into scalable technical solutions

Requirements

• 3+ years of experience in a technical role focused on data pipelines, automation, and sales/marketing systems
• Proven experience with Salesforce integrations and maintaining data synchronisation across systems
• Strong proficiency in Python for scripting and automation, including experience with data manipulation and web scraping frameworks libraries
• Proficiency in SQL for complex querying, data manipulation, and schema design, with experience across various relational databases
• Experience working with databases or data warehouses (e.g BigQuery, Snowflake) in the context of ETL workflows
• Experience building and maintaining custom scrapers or working with third-party data enrichment APIs (e.g., ZoomInfo)
• Ability to independently evaluate technical solutions and make informed trade-off decisions
• Excellent communication skills and a proven ability to collaborate across technical and non-technical teams

Nice to Have

• Familiarity with account scoring methodologies and experience implementing data-driven models
• Experience with automation platforms such as n8n and Zapier or building and managing integrations and automated workflows
• Experience building BDR/SDR prospecting tools or internal sales enablement platforms
• Experience with tools such as Salesloft, Gong, Lusha
• Understanding of AI concepts, including agentic workflows, prompt optimization, and model selection
• Background in RevOps, SalesOps, or GTM-focused engineering teams

Company Benefits

• 30 days holiday paid leave
• One week exchange policy to another Payhawk office (London, Berlin, Barcelona, Paris, Amsterdam)
• Flexible working hours and opportunity to work from home
• Regular team-wide events
• Additional medical care
• MultiSport card fully funded by us
• Company office massages
• Personal assistant service
• Opportunity to use the Payhawk product

Please note that unfortunately we cannot provide visa sponsorship, and to be considered for this role, candidates must be able to provide proof of their eligibility to work in the EU.

Payhawk is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status