Go-to-Market (GTM) Engineer

The Role

We are looking for a mid-level Go-to-Market (GTM) Engineer with a specialization in AI-powered marketing and sales automations tools. As a part of our Marketing team, you will work closely with Marketing and Sales Operations to build, deploy, and scale intelligent automations tools (AI driven) that will improve our go-to-market strategy.

Primary Responsibilities

Design and implement AI-powered tools and automations to streamline activities related to sales and marketing, including:

Personalized outreach based on prospect data and behavior
Automated content generation for SEO and marketing campaigns
Analysis of sales interactions to deliver tailored demo recommendations
Intelligent lead scoring and routing based on engagement patterns
Integrate AI tools with various platforms (HubSpot, Gong, LinkedIn, etc.) to create end-to-end solutions
Develop documentation and governance frameworks for AI automations
Monitor automation performance and optimize for improved efficiency and effectiveness
Collaborate with marketing, sales, and product teams to identify new automation opportunities
Maintain best practices for prompt engineering across different AI platforms

Requirements:

Excellent and creative problem-solving skills, with attention to detail and quality
3-5 years of experience in development
Strong programming skills with proficiency in Python and experience with automation platforms (Zapier, Make, etc.)
Experience with SQL and data analysis tools
Experience with using AI tools for development

Preferred Qualifications

Experience in marketing technology, sales operations or similar technical role
Experience with web development fundamentals and REST API integrations
Experience with major AI APIs (OpenAI, Anthropic, etc.) and understanding of prompt engineering
Knowledge of marketing/sales platforms like HubSpot, Gong, Salesforce, etc.
Knowledge of conversational design and natural language processing concepts
Familiarity with B2B SaaS marketing and sales processes
Understanding of data privacy regulations and AI governance principles