Manager, ML Engineering

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. We are looking for an experienced Engineering Manager to lead and grow the Cortex team. This is a hands-on leadership role: you will manage a talented team of ML and delivery engineers, drive technical delivery of AI service initiatives, and help define the direction of Smarsh's AI platform capability. You will report directly to a Senior ML Engineering Manager based in the UK and will be the primary engineering leader for the Cortex team on the ground in Bangalore. You will work closely with Smarsh's Applied Machine Learning team — who build and train our in-house models — as well as Product Management, Technical Program Management (TPM), the Fabric platform organisation, and sister Cognition teams: Cognition Logic and Cognition Analytics, all part of the wider Enterprise Conduct organisation. This is a hybrid role based in our Bangalore office, with the expectation of 3 days per week on-site. This role is AI-first. You will be expected to champion and actively use AI-powered engineering productivity tools — including Windsurf and Claude Code — and embed these practices into the team's day-to-day ways of working