Fullstack Engineer (Analytics)

TL;DR

Fullstack Engineer (Analytics): Building AI interfaces and analytics dashboards for enterprise content teams with an accent on performant UIs and supporting APIs. Focus on implementing data-heavy interfaces, developing RESTful APIs in Node.js, and integrating with petabyte-scale data pipelines.

Location: Berlin, Germany (Hybrid/Distributed)

Company

hirify.global is a leading digital experience platform that blends composability with native AI capabilities to help businesses deliver personalized content at scale.

What you will do

• Build AI agents, analytics dashboards, and the underlying APIs that support them.
• Implement rich data interfaces using React, Next.js, Tailwind, and data visualization libraries.
• Develop and consume RESTful APIs in Node.js/TypeScript, integrating with existing analytics services.
• Contribute to data pipelines that transform event data at petabyte-scale.
• Ensure performance and usability in data-heavy interfaces through thoughtful architecture.
• Collaborate with design, product, backend, and data teams to ship high-impact features.

Requirements

• 3+ years of experience building SaaS applications with TypeScript, Node.js, and React.
• Proven delivery of AI agents, dashboards, or analytics interfaces, ideally in a B2B context.
• Hands-on experience with cloud platforms such as GCP, AWS, or Cloudflare.
• Comfortable with CI/CD workflows, automated testing, and modern cloud tooling.

Nice to have

• Experience working with data pipelines or analytical databases.

Culture & Benefits

• Stock Options for full-time employees to share in company success.
• Comprehensive fertility and family building benefits with a lifetime reimbursable wallet.
• Generous paid time off including vacation, sick, education, compassion, and volunteer days.
• Annual personal education budget and wellbeing stipend for physical, financial, or emotional health.
• Monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees.