AI GTM Engineer (Artificial Intelligence : Go-to-Market)

1. Prospecting and account intelligence Build automated workflows that identify and prioritise accounts against Grepsr’s ideal customer profiles, target industries and company size. Automate lead enrichment, segmentation and qualification, surfacing relevant business signals and buying triggers. Develop AI research assistants that give Sales a concise, reliable account brief before outreach. 2. Personalised outreach Build workflows that draft personalised messages from verified account context, with human review and approval for all customer-facing communication. Design and run structured experiments on messaging and channels, and report what improves response and meeting rates. 3. Integration and data quality Connect the CRM, prospecting platforms, data sources and AI models through APIs, webhooks and databases. Keep data accurate, deduplicated and synchronised across connected systems. 4. AI agents and evaluation Design AI agents and multi-step workflows for prospect research, qualification and sales support, where they add clear value over simpler automation. Define prompts, context and evaluation methods, and monitor accuracy so quality improves over time. 5. Reliability, security and responsible use Monitor workflows, resolve failures, and maintain documentation and runbooks. Handle credentials and customer data securely, manage AI and API costs, and ensure outreach and data sourcing comply with applicable privacy and anti-spam requirements. 6. Measurement and enablement Build dashboards that track time saved, lead quality, engagement, meetings generated and pipeline contribution. Train and support GTM colleagues in using what you build; retire workflows that are not adopted. Evaluate new AI tools and recommend what is worth adopting at Grepsr. Requirements Bachelor’s degree in Computer Science, IT, Software Engineering, Data Science, Business or a related field, or equivalent practical experience. Proven experience building production automation workflows and API integrations (REST, webhooks, JSON), using n8n, Make, Zapier or similar platforms. Proven experience of using Python or Google App script (JavaScript) in automating workflows . Practical experience with LLMs and AI agents, including prompt design, structured outputs and quality evaluation. Ability to translate business requirements into maintainable technical solutions and to explain them clearly to non-technical colleagues. Sound analytical judgement and the ability to work independently, prioritise, and own outcomes. Preferred (any of the following) Experience with AI APIs (OpenAI, Anthropic, Gemini) and with Clay, Apollo, HubSpot or Salesforce. Experience with RAG, data pipelines or enrichment workflows. Exposure to B2B SaaS, revenue operations or outbound sales processes.Key Competencies Key Competencies Technical Problem Solving: Breaks ambiguous problems into reliable, maintainable solutions. AI and Automation Fluency: Applies LLMs, agents and workflow tools where they add real value. Business and Commercial Awareness: Understands how customers are found, won and retained. Accountability and Ownership: Owns outcomes from design through production and adoption. Communication and Collaboration: Works with Sales and Marketing and explains technical work plainly. Analytical and Data-Driven Decisions: Uses data and experiments to decide what to build and improve. Adaptability and Learning Agility: Keeps pace with fast-changing AI tools and practices. Benefits Competitive compensation and performance - based rewards. Five-day work week. Daily lunch at the office. Learning and growth opportunities. Wellness and engagement initiatives. Collaborative and values-driven work environment.