AI & Data Engineering Manager

april april

AI & Data Engineering Manager leading teams to deliver AI-driven product capabilities at april's innovative tax platform. Collaborating with data scientists, engineers, and product managers for scalable AI solutions.

Posted 5/14/2026full-timeTel Aviv • 🇮🇱 IsraelMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AngularAWSCloudGoogle Cloud PlatformPythonReactVue.js

About the role

Key responsibilities & impact

Lead a team of data scientists, data engineers and product analysts.
Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation.
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 that guide product improvements.
Design system architectures for AI-enabled applications at scale.
Evaluate and select technologies for AI platforms and data pipelines.
Guide the development of prompt engineering frameworks and centralized prompt management.
Ensure robust monitoring, evaluation, and feedback loops for AI outputs.
Translate product and business goals into technical roadmaps and execution plans.
Drive alignment between AI capabilities and measurable product outcomes.

Requirements

What you’ll need

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.
Passion for clean code, scalable architectures, and data-driven product development.
Experience with prompt engineering, RAG architectures, and vector databases.
Experience building AI agents or autonomous workflows.

Benefits

Comp & perks

Professional development opportunities
Flexible working arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonbackend systemsweb applicationsReactNextAngularVueLLM-based systemsdata pipelinesprompt engineering

Soft Skills

leadershiptechnical directionguidanceexcellencecommunicationcollaborationanalytical thinkingproblem-solvingproduct improvementdata-driven decision making