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Vantage

Cloud cost management and optimization platform

Growth Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time$150k - $200k /yrRemote

About the Job

Requirements

  • At least 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 applications based on large language models.
  • Proficiency in Python, JavaScript, or similar programming languages.
  • Experience working with application programming interfaces, webhooks, data integrations, and automation platforms.
  • Familiarity with large language models, 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 the ability to connect technical solutions to business outcomes.
  • Comfort working independently, rapidly prototyping ideas, and iterating based on performance data.
  • Strong communication skills and the ability to collaborate with technical and nontechnical stakeholders.

Responsibilities

  • Design, develop, and maintain AI agents and automated workflows that support demand generation, outbound prospecting, campaign execution, and marketing operations.
  • Integrate AI systems with tools such as Salesforce, HubSpot, and other marketing and sales platforms to automate workflows and improve operational efficiency.
  • Build and optimize agents for account research, prospect identification, personalized outreach, campaign creation, and performance analysis.
  • Partner with Sales and Marketing to develop automated prospecting workflows, improve targeting, and increase qualified pipeline.
  • Create systems to launch, monitor, test, and optimize marketing campaigns with appropriate human review and approval processes.
  • Build workflows that use product updates, customer insights, and customer relationship management data to inform marketing activities and improve personalization.
  • Evaluate new models, agent frameworks, orchestration tools, and automation platforms for opportunities to improve the growth engine.
  • Build monitoring, reporting, and feedback loops to evaluate the effectiveness, reliability, and business impact of automated systems.
  • Implement safeguards, testing, monitoring, and approval processes to keep automated workflows accurate, secure, and aligned with the company brand.
  • Work with Marketing, Sales, Revenue Operations, Product, and Engineering to identify opportunities where technology can eliminate manual work or enable new growth capabilities.

Desired Qualifications

  • Experience building AI-powered growth, sales, or marketing automation systems.
  • Familiarity with Salesforce, HubSpot, Clay, or similar go-to-market technology platforms.
  • Experience with automated prospecting, lead enrichment, account-based marketing, or outbound sales workflows.
  • Understanding of business-to-business software-as-a-service marketing funnels, lead generation, and pipeline metrics.
  • Experience with data pipelines, SQL, analytics platforms, or customer relationship management 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.

About the Company

Vantage

Cloud cost management and optimization platform

Vantage.sh provides cloud cost management and optimization across multiple cloud providers. It aggregates costs from all subscriptions and offers detailed reports, cost allocation, and dashboards that can be filtered by project, label, service, and other dimensions, with hierarchical views from organization to individual cost centers. A key differentiator is its Kubernetes cost optimization, which allocates costs by service, namespace, and label to identify pod waste and optimize clusters, plus rich resource-level analytics and self-serve setup. The goal is to give businesses clear visibility into cloud spending and actionable opportunities to reduce costs, charging a fee of 5% of savings.

Company size
51-200
Company stage
Series A
Total funding
$24.5M
Headquarters
New York City, New York
Founded
2020

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