Hands-on AI & Data Engineering Manager

About the role

We're looking for a hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products , work closely with data scientists, product managers, and designers , and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems . You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes . This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making .

Responsibilities

• 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

• 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 .
• 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 april

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