GTM AI Engineer

About the role

Customer.io is seeking a GTM AI Engineer to transform nascent AI agent prototypes into production-ready systems. You will be instrumental in ensuring these AI agents are reliable and scalable for our Go-To-Market teams. This role focuses on the foundational infrastructure that supports the expansion of AI agent deployment.

Key facts

What you'll do

• Guide newly developed AI agents from initial concept to a production-ready state, including writing evaluation tests, refining prompts and tool definitions, and restructuring prototype code into production-quality software.
• Implement tracing, logging, and monitoring across the fleet of AI agents to proactively identify and address issues before they impact users.
• Establish and manage the deployment pipelines for AI agents, ensuring consistent environments and release integrity within our Google Cloud Platform infrastructure.
• Oversee how AI agents interact with databases, managing data access and modifications securely and efficiently at scale.
• Monitor AI agent performance in live environments, troubleshoot problems, and implement ongoing improvements to enhance their utility.
• Collaborate closely with the GTM AI team, allowing them to focus on innovation while you manage operational stability and growth.
• Provide critical feedback on existing systems and propose actionable plans for improvement.

Requirements

• Possess at least 4 years of experience in software engineering, platform engineering, or a comparable technical field, preferably within a B2B SaaS context.
• Demonstrate proficiency in daily terminal use and a working knowledge of GitHub pull request and deployment workflows.
• Have experience with cloud hosting environments such as Kubernetes or virtual machines, with a strong preference for Google Cloud experience.
• Include hands-on experience with database administration and understanding how AI agents interact with and modify databases.
• Familiarity with the development of LLM-based applications, encompassing prompt engineering, tool/function calling, evaluation methods, and modern agent frameworks.
• Exhibit the ability to effectively prompt AI tools, critically assess their output, and direct them to self-evaluate their work.
• Balance the ability to iterate quickly with the discipline to ensure consistency as systems scale.
• Possess a clear perspective and be willing to question existing approaches with well-reasoned alternatives.

Nice to have

• Experience with modern agent frameworks.

Skills & tools

• Google Cloud Platform (GCP)
• Kubernetes
• LLM application development
• Prompt engineering
• Tool/function calling
• Agent frameworks

Practical notes

• Salary range: $140,000-$170,000 USD (or local equivalent), adjusted for experience and market rates.
• Benefits include 100% coverage for medical, dental, vision, mental health, and supplemental insurance premiums for employees and their families.
• Offers 16 weeks of paid parental leave, unlimited paid time off, stipends for remote work and wellness, and a professional development budget.
• The hiring process involves a 30-minute recruiter call, a 45-minute hiring manager call, a 45-minute GTM AI team call, and a 60-minute live technical session.
• Background checks and employment verifications are part of the final candidate process.
• Customer.io is committed to diversity, equity, and inclusion.
• All interviews are conducted via Zoom. Offers are made in writing on official Customer.io letterhead.
• For any questions, please contact jobs@customer.io.