Senior Engineering Manager — Data & AI ML Platform

Overview

Senior Engineering Manager to lead a multi-squad Data & AI Platform organization supporting AI-native engineering for terminal operations and commercial use cases.

What you'll do

• Lead a multi-squad engineering group of ~25 engineers across four domains.
• Drive Commercial AI: generative AI products for market intelligence, pricing/revenue intelligence, and contract analytics.
• Build asset intelligence models for TCO modeling, asset replacement/lifecycle planning, and simulation.
• Own the AWS-native data platform foundation, including enterprise data lake, cloud migration, data engineering, ML Ops, AI Ops, and observability.
• Set and apply architecture standards and scaling patterns to turn one-terminal solutions into network-wide capabilities.
• Operate with player-coach leadership: write code, review models, and ship to terminals.

What you'll need

• 14+ years in software/data/ML engineering.
• 5+ years leading multi-team organizations (25–50 engineers) through senior leads.
• Hands-on depth with modern cloud data platforms on AWS, including services such as S3, Glue, EMR, Redshift, SageMaker, and Bedrock (or equivalents).
• Gen AI shipped in production (e.g., RAG, co-pilots, agentic workflows) with real constraints like quality, latency, cost, and evaluation.
• Experience across data engineering, ML Ops, AI Ops, and platform observability.
• Commercial/asset instinct connecting engineering to pricing, revenue intelligence, and lifecycle economics.
• People leadership skills: hiring, growing leaders, and leading distributed teams across time zones.

Details

• Location: India, Bengaluru, 560064.
• Flexible working within a collaborative hybrid model.