Growth Engineer

Responsibilities

• Build AI-powered growth systems: Design, develop, and maintain AI agents and automated workflows that support demand generation, outbound prospecting, campaign execution, and marketing operations.
• Own marketing automation infrastructure: Integrate AI systems with tools such as Salesforce, HubSpot, and other marketing and sales platforms to automate workflows and improve operational efficiency.
• Develop intelligent agents: Build and optimize agents capable of performing tasks such as account research, prospect identification, personalized outreach, campaign creation, and performance analysis.
• Scale outbound and pipeline generation: Partner with Sales and Marketing to develop automated prospecting workflows, improve targeting, and increase qualified pipeline.
• Automate campaign execution: Create systems that can launch, monitor, test, and optimize marketing campaigns with appropriate human review and approval processes.
• Connect product and marketing data: Build workflows that leverage product updates, customer insights, and CRM data to inform marketing activities and improve personalization.
• Experiment with emerging AI technologies: Evaluate new models, agent frameworks, orchestration tools, and automation platforms to identify opportunities for improving our growth engine.
• Measure and optimize performance: Build monitoring, reporting, and feedback loops to evaluate the effectiveness, reliability, and business impact of automated systems.
• Ensure reliability and quality: Implement safeguards, testing, monitoring, and approval processes that keep automated workflows accurate, secure, and aligned with Vantage's brand.
• Collaborate across teams: Work closely with Marketing, Sales, RevOps, Product, and Engineering to identify opportunities where technology can eliminate manual work or unlock new growth capabilities.

Requirements

• 3+ years of experience in software engineering, growth engineering, marketing technology, automation engineering, or a related technical role.
• Demonstrated experience building and deploying AI-powered agents, automated workflows, or LLM-based applications.
• Proficiency with Python, JavaScript, or similar programming languages.
• Experience working with APIs, webhooks, data integrations, and automation platforms.
• Familiarity with LLMs, prompt engineering, agent orchestration, and AI workflow development.
• Experience with automation tools and AI development platforms.
• Ability to design, build, debug, and maintain reliable automated systems.
• Strong analytical and problem-solving skills, with an ability to connect technical solutions to business outcomes.
• Comfort working independently, rapidly prototyping ideas, and iterating based on performance data.
• Strong communication skills and an ability to collaborate with both technical and nontechnical stakeholders.

Preferred

• Experience building AI-powered growth, sales, or marketing automation systems.
• Familiarity with Salesforce, HubSpot, Clay, or similar GTM technology platforms.
• Experience with automated prospecting, lead enrichment, account-based marketing, or outbound sales workflows.
• Understanding of B2B SaaS marketing funnels, lead generation, and pipeline metrics.
• Experience with data pipelines, SQL, analytics platforms, or CRM data models.
• Familiarity with cloud infrastructure, developer tools, or FinOps.
• Experience with AI agent evaluation, observability, and production monitoring.
• Experience working at an early-stage or high-growth technology company.