Own the outcomes of your team's efforts by ensuring successful product deliveries, including incremental value creation, maintaining system performance, and sharing in commercial wins.
Coach engineers on growth plans and promotions using established engineering pathways.
Establish and evolve healthy team practices, including planning, execution, quality, and operational excellence.
Represent Engineering in cross‑functional ceremonies and planning with Product, Data, AI, and Design partners.
Balance near‑term delivery with long‑term technical health, identifying and managing technical debt.
Translate product and technical vision into clear execution plans and measurable outcomes.
Foster a culture of high ownership, psychological safety, and sustainable pace.
Guide architecture, unblock teams, and support high‑impact initiatives.

Experience leading engineering teams that build agentic or autonomous workflows
Strong comfort with Python and React in a full‑stack environment
Experience designing and operating queue‑based, event‑driven, or asynchronous systems
Proficient on AI driven coding and scalable, modular applications with a strong grasp of architectural patterns, reliability, and engineering trade‑offs.
Familiarity with ETL and data processing systems, such as: Databricks or Spark‑based pipelines, Kafka, Pulsar, or similar event streaming platforms, Airflow, dbt, or workflow orchestration tools
Experience working with AI/ML‑adjacent systems or data‑heavy platforms
Exposure to cloud‑native architectures and scalable backend services.

Engineering Manager, Agentic Platforms

Key skills