April

Hands-on AI & Data Engineering Manager

Tel Aviv, Remote. Posted 6 months ago

The role

You will lead a team of data scientists, data engineers, and product analysts to build intelligent, large-scale consumer experiences. You will deliver AI-powered product capabilities and analyze product data to improve AI performance and product outcomes.

What you will do

  • Lead a team of data scientists, data engineers and product analysts
  • Own the delivery of AI-powered product capabilities
  • Drive excellence, code quality, and best development practices
  • Provide technical direction and hands-on guidance for complex AI systems
  • Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences
  • Ensure AI solutions are safe, scalable, observable, and continuously improving
  • Lead initiatives around product data analysis and experimentation
  • Analyze user interactions with product features to improve accuracy, UX, and business impact
  • Partner with product teams to define metrics, dashboards, and experiments
  • Design system architectures for AI-enabled applications at scale

Required qualifications

  • 6+ years of software engineering experience building production-level systems
  • 2+ years of engineering management or technical leadership experience
  • Strong experience building large-scale backend systems in Python
  • Experience developing modern web applications using frameworks such as React / Next / Angular / Vue
  • Experience deploying and operating LLM-based systems in production, including evaluation and iteration
  • Strong understanding of data pipelines, experimentation, and product analytics
  • Experience with modern cloud environments such as Google Cloud Platform or Amazon Web Services
  • Experience with prompt engineering, RAG architectures, and vector databases
  • Experience building AI agents or autonomous workflows

Nice to have

  • Experience with frameworks such as ADK, A2A, LangChain, LangGraph, or LlamaIndex or equivalent
  • Experience with gRPC and protobuf-based architectures
  • Experience building MCP servers
  • Background in data engineering, experimentation platforms, or ML infrastructure

About the company

april is an embedded, year-round tax platform built to power smarter financial decisions. Its AI-powered tax engine ingests data from partner apps to deliver accurate outcomes through API-first infrastructure.