Job Description

We are seeking a high-performing GTM Engineer to join our team as a strategic force multiplier for our sales and marketing engines.

In this role, you will work closely with our GTM Engineering Lead to accelerate the transition from "old school SalesOps" to a modern, AI-driven Go-To-Market infrastructure.

This is an AI programming job in the field of Go-to-Market.

You will be a key developer and builder behind our AI-driven growth, turning strategy into high-performing code, autonomous agents, and scalable workflows.

Why this is an exciting opportunity:

• You will build, experiment with, and deploy modern tools, LLMs, and autonomous agents to define what AI-led growth looks like at ScyllaDB.
• You will collaborate across Sales, Marketing, and Revenue teams to translate operational needs into automated systems.
• We aren't looking for someone to just update Salesforce fields. We want an AI-developer who builds tools that make our Sales and Marketing teams feel like they have superpowers.
• You will have the freedom to experiment with LLMs, autonomous agents, and cutting-edge APIs to destroy friction and accelerate revenue.

Key Responsibilities

• Identify high-leverage opportunities to automate manual workflows across Marketing and Sales using LLMs, autonomous agents, and modern API integrations.
• Work closely with the GTM Engineering Lead to translate strategic growth initiatives into functional, AI-powered internal tools.
• Design and build custom data pipelines and automations that remove friction for SDR and Marketing teams, allowing them to work smarter and move faster.
• Own the development lifecycle of internal growth tools-from building and testing to shipping and iterating on production-level solutions.
• Partner with Finance, Marketing, and Sales stakeholders to ensure AI deployments are scalable, secure, and measurably improve conversion rates.
• Help establish ROI models and best practices for new AI-driven processes across the

Requirements

• The "Builder" Mentality is a must!
• 1–2 years of experience in GTM Engineering, Business Technology, or Solutions Engineering within a fast-paced startup or high-growth environment.
• Working knowledge of database usage and security best practices.
• Deep, hands-on experience applying AI and APIs to solve business problems.
• Fluency with modern developer and automation tools like Claude Code, Cursor, n8n, v0/Vercel, or Glean.
• Ability to write prototype or production-level code in Python, JavaScript/TypeScript, or similar languages (the specific language is less important than your problem-solving ability).
• Familiarity with modern GTM stacks, including Salesforce, Marketo, Pocus, or similar platforms.
• A self-motivated problem-solver who thrives in a collaborative team environment and takes pride in end-to-end execution.
• Exceptional ability to adapt your communication style to both technical internal teams and non-technical stakeholders.