Manager, GTM AI Engineering
New
S
SoSafeCybersecurity
Candidates based in Ireland or the UK will work remotely. Candidates based in Germany have the option to work remotely from their country or in a hybrid model from our offices in Germany.Full-TimeManager
Salary not disclosed
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Job Details
- Experience
- 5+ years in management of technical teams
- Required Skills
- SalesforceCRMHubSpotPrompt Engineering
Requirements
- 5+ years in management of technical teams, specifically focused on automation, AI/ML, or RevOps technology.
- Hands-on experience with LLMs, prompt engineering, and building autonomous agents within a business context.
- Deep understanding of Sales and Marketing workflows and how they integrate with CRM systems (e.g., Salesforce, HubSpot).
- Ability to turn a strategic blueprint into a functional technical architecture.
- Consulting background is a strong plus.
- Proven experience in operational excellence and technical documentation.
- Ability to bridge communication between software engineers and sales leaders.
Responsibilities
- Translate the GTM AI Strategy Blueprint into technical roadmaps for automation and agent deployment.
- Lead the build-out and configuration of AI agents and automations designed to handle repetitive GTM tasks.
- Ensure all AI implementations are scalable, secure, and integrated deeply into our CRM and RevOps stack.
- Manage and mentor a high-performing team of engineers and architects.
- Oversee the end-to-end lifecycle of AI solutions, from initial proof-of-concept to global GTM deployment.
- Work closely with the SVP GTM Operations to ensure AI initiatives align with broader revenue goals.
- Partner with Revenue Enablement to ensure the GTM team is trained.
- Define and track KPIs for the GTM AI team.
- Continuously iterate on AI models and agent logic based on feedback from the GTM field teams.
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