GTM AI Engineer

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow.

CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices.

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce.

About the Role:

We are looking for a hands-on GTM AI Engineer to design, build, and deploy AI-powered workflows and automations across our go-to-market (GTM) systems.

This role sits at the intersection of Business Operations and technology, and acts as the engine behind revenue intelligence, process automation, and scalable pipeline generation systems.

You will translate business needs into production-grade AI solutions, including workflows, agents, and integrations, embedded directly into core business systems (e.g., CRM, marketing automation, support tools).

This is not a traditional software engineering role, but it requires strong technical execution and ownership across the full lifecycle.

What you’ll do:

• Design, build, and maintain production-grade AI workflows and automations to streamline GTM execution (e.g., lead enrichment, routing, research, follow-ups, CRM hygiene, and customer handoffs)
• Develop and deploy LLM-based solutions, including prompt-driven workflows, reusable prompt libraries, and AI agents embedded within business systems
• Build and maintain integrations and data pipelines across CRM, marketing automation, enrichment tools, and internal systems to ensure reliable, connected data across the funnel
• Monitor and continuously improve workflows and agents by optimizing accuracy, reliability, and business impact (e.g., precision/recall, failure handling, adoption)
• Identify opportunities to reduce manual work and improve efficiency across RevOps, Sales, Marketing, and Customer-facing teams
• Partner with cross-functional stakeholders to map processes, identify bottlenecks, and prioritize high-impact automation opportunities
• Drive adoption through enablement: documentation, training, and ongoing feedback loops
• Evaluate and implement new tools and technologies based on ROI, scalability, and maintainability
  
  

• 4–7 years of experience in Business Systems, RevOps systems, Data/Systems Engineering, or similar hands-on technical roles
• Proven experience building and deploying end-to-end workflows and automations in business environments
• Hands-on experience with LLM tools and prompt/workflow engineering, with a focus on reliability and real-world use cases
• Experience with automation/orchestration tools (e.g., workato) and/or agent frameworks
• Strong experience integrating and extending CRM systems (e.g., Salesforce)
• Experience working with APIs, system integrations, and data flows across multiple platforms
• Experience supporting GTM / RevOps in a SaaS environment- Advantage
• Strong analytical and problem-solving skills, with the ability to prioritize based on business impact
• High ownership and ability to operate independently from idea to production
• Strong communication skills and ability to work effectively with both technical and non-technical stakeholders