Empleos

GTM Automation Engineer (AI Expertise is a must)

Posted just now
Deltek

Responsibilities

About the Role

The GTM AI Automation Specialist is a key member of the GTM AI Strategy team and is responsible for designing, configuring, and scaling AI agents that support Deltek’s go-to-market organization using low-code/no-code AI platforms.

This role focuses on applied AI configuration and workflow design rather than traditional software development or model research. It works closely with the GTM AI Product Manager to implement defined requirements and configure AI agent logic and workflows within low-code/no-code platforms. The role ensures solutions are reliable, scalable, and aligned with business needs. This is not a coding-heavy role — success depends on platform fluency, prompt design, and business process thinking.

This role is ideal for a technically literate professional who enjoys working with AI platforms and tools rather than writing code from scratch — someone who thrives configuring workflows, designing prompts, and connecting systems to drive business outcomes.

Primary Responsibilities

  • Design, configure, and maintain AI agents supporting sales and marketing workflows, primarily using low-code/no-code AI platforms (e.g., Lindy) with light scripting or API configuration as needed
  • Implement prompt logic, multi-step workflows, and agent orchestration based on product requirements
  • Connect AI agents with internal systems, data sources, and GTM platforms using platform-native integrations and APIs
  • Partner closely with the GTM AI Product Manager to execute against defined priorities and delivery timelines
  • Monitor agent performance and troubleshoot issues related to quality, reliability, and data integration
  • Iterate on agent logic and workflows to improve consistency, accuracy, and usability
  • Document technical logic, workflows, and implementation details to support maintainability and scale
  • Stay current on AI tooling capabilities, platform updates, and applied AI best practices

Qualifications

Required

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience
  • Several years of experience (typically 3+ years or equivalent) building, configuring, or maintaining software, automation, or AI-enabled systems
  • Hands-on experience implementing AI-powered workflows, agents, or automation using a combination of low-code/no-code platforms and programmatic tools
  • Working knowledge of data integration concepts, APIs, and structured data formats (e.g., JSON, SQL, CSV)
  • Demonstrated ability to implement solutions from defined requirements and iterate based on feedback and observed performance
  • Strong problem-solving skills, with the ability to troubleshoot, debug, and improve system reliability and output quality
  • Comfort operating in fast-paced, evolving environments with changing requirements and incomplete information

Preferred (Applied AI & GTM Context)

  • Experience working with LLM-based systems, AI agents, or prompt-driven workflows
  • Familiarity with agent orchestration, multi-step reasoning flows, or decision-based AI outputs
  • Experience integrating AI solutions with business systems such as CRM, sales, marketing, or analytics platforms
  • Comfort partnering closely with product managers to clarify requirements, tradeoffs, and priorities
  • Experience working in distributed or global teams

Attributes

  • Builder mindset with a strong bias toward execution and iteration
  • Detail-oriented, with a focus on reliability, quality, and usability
  • Curious and motivated to learn emerging AI tools and techniques
  • Comfortable working with ambiguity and evolving technical approaches
  • Collaborative and communicative, with the ability to work effectively across technical and non-technical teams


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