Talantix.io
Grafana Labs•07.03.26
AI SCORE 8.5

Staff GTM Engineer - AI & Automation Remote Position

$140K–$180K/year
RemoteAI/Big Data
Python•JavaScript•Cloud Computing•AI•Automation Engineering•Data Pipelines•Microservice•Selenium•Cypress

About the Role

We are seeking a Staff GTM Engineer (AI & Automation) - Remote to join our innovative team. In this role, you will leverage your expertise in AI and automation to drive growth and enhance our go-to-market strategies. As a Staff GTM Engineer, you will be instrumental in shaping the future of our products and services while working in a fully remote environment.

What You'll Do

  • Design and implement automation workflows that enhance our go-to-market strategies.
  • Collaborate with cross-functional teams to integrate AI solutions into our existing systems.
  • Lead projects that focus on data pipelines and automation engineering.
  • Utilize your knowledge of Python, JavaScript, and cloud computing to develop scalable solutions.
  • Manage the lifecycle of projects from conception to execution, ensuring timely delivery and quality assurance.

Requirements

  • 5+ years of experience in a similar role, specifically as a Staff GTM Engineer or in automation engineering.
  • Strong proficiency in Python and JavaScript, with a solid understanding of cloud computing.
  • Experience with AI technologies and automation tools.
  • Proven track record of managing projects and leading teams.
  • Excellent communication skills and the ability to work collaboratively in a remote setting.

Nice to Have

  • Experience with large language models (LLMs) and marketing automation platforms.
  • Familiarity with QA automation tools such as Selenium and Cypress.
  • Knowledge of microservices architecture and data engineering principles.

What We Offer

  • 100% remote work with a global culture.
  • 30 days of global annual leave policy.
  • Defined career growth pathways and opportunities for professional development.
  • Transparent communication and approachable leadership.
  • In-person onboarding for new employees to foster team connections.
Why This Job8.5 of 10

This Staff GTM Engineer role offers an exciting opportunity to work remotely in a dynamic AI environment. With a competitive salary and strong growth potential, it's a great fit for experienced engineers.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and JavaScript with a strong understanding of cloud computing platforms like AWS or GCP, enabling the design of scalable automation solutions for data pipelines.

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Self-motivated and disciplined to thrive in a remote work environment, demonstrating the ability to effectively manage time and priorities while collaborating with distributed teams.

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Experienced in implementing AI-driven automation strategies, with a mindset geared towards innovation and continuous improvement in software development practices.

Learning Resources

→Automate the Boring Stuff with Pythonguide
→Python for Data Science and Machine Learning Bootcampcourse
→Introduction to Cloud Computing on AWSarticle

Career Path

Staff GTM Engineer - AI & Automation(Now)→Lead Automation Engineer or GTM Engineer(1-2 years)→Engineering Manager or Principal Engineer(3-5 years)

Market Overview

Market Size 2024
$50B
Annual Growth
11.5%
AI Adoption
75%
Investment in AI & Automation
+35%
Labour Demand for Python Developers
+22%
Avg Salary for GTM Engineers
$130K

Skills & Requirements

Required
PythonJavaScriptCloud Computing
Growing in Demand
Machine LearningDockerKubernetes
Declining
PerlRuby on Rails

Domain Trends

Rise of AI-Driven Automation
The integration of AI in automation processes is projected to grow by 30% in the next two years, driving demand for engineers skilled in AI and automation frameworks.
Cloud-Native Development
As organizations shift to cloud-native architectures, 60% of companies are investing in microservices and container orchestration, highlighting the need for skills in Docker and Kubernetes.
Increased Focus on Data Pipelines
With data becoming a central asset, the demand for professionals skilled in building robust data pipelines has surged, with a 40% increase in job postings requiring this expertise.

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