We are looking for an experienced and proactive GTM Engineer to join our Marketing team. This role will live at the forefront of marketing technology, and will provide a competitive edge to the LinearB marketing team by using AI to increase efficiency, while safeguarding against the risks of the emerging technology. There’s also a strong desire for this role to work cross functionally with other LinearB teams to share knowledge and lessons around AI-assisted workflows.

The ideal candidate will have a strong background in marketing operations and technology, a well-honed understanding of marketing strategy and tactics, and a strong interest to apply artificial intelligence in the service of a creative and supportive team.

Responsibilities:

• Work with internal stakeholders on the marketing team to define use cases for AI automation.
• Use commercially available AI and automation tools to design and build a set of AI-assisted, human-in-the-loop workflows that will, inter alia:
  • Monitor competitive developments and industry changes online.
  • Automatically suggest changes to company messaging based on external developments.
  • Generate social media and advertising messaging.
  • Create draft blog content based on long-form content.
  • Add content to publishing pathways for website, email, social media, and advertising platforms.
• Develop protocols and procedures to provide the highest-quality work product and ensure human review prior to publication. 
• Train the team on processes and best practices related to AI prompt engineering, AI safety, and automation. 
• Identify a set of metrics to measure the effectiveness of AI workflows and create reports to track results.
• Monitor the implementation of the workflows and make adjustments or rebuild where necessary

Qualifications:

• 5+ years as the administrator of a modern martech stack.
• BA/BS from an accredited institution.
• Familiarity with Marketing strategies, with proven experience translating those strategies into processes using an integrated technology stack.
• Experience using internal platform capabilities, APIs, and automation tools like Zapier to connect systems, manage the marketing database, sync data between systems, and automate tasks.
• Demonstrated use of AI tools and/or features to improve marketing efficiency.
• Proficiency with prompt engineering and the creation of custom chat agents. 
• Knowledge of different AI models, especially those from OpenAI and Anthropic, along with their relative benefits and drawbacks. 
• Deep understanding of Marketo and Salesforce. 
• An entrepreneurial mindset that thrives on building solutions, learning from failures, and making iterative improvements. 

Advantages:

• Familiarity with programming languages and their AI libraries, especially Python and Javascript.
• Experience working with data warehouses, cloud architectures, and container systems like Docker or Kubernetes. 
• Functional capability with software development lifecycle tools such as Github, Gitlab, etc.
• Knowledge of agentic AI architectures and experience writing code to build generative agentic workflows.