Smarsh
SaaS
Manager,MLEngineering
Neural analysis suggests this role is
optimal for Mid candidates.
“Manager, ML Engineering at Smarsh. Skills: ML Engineering Management, AI Service Delivery, MLOps, Cloud-native AI/ML. Lead, mentor, grow team. Run 1:1s, performance conversations”
What You'll Achieve.
Deliver new capabilities; Production-grade deployment; Meet operational SLOs; Increase velocity and code quality; Align delivery to business priorities; Consume services with confidence
Industry & Context.
Bring structure to new problem spaces
3 days per week on-site in Bangalore office
What They're Looking For.
Must Have
2+ years of engineering management experience, Solid track record of delivering production ML or AI services at scale, Experience working at the interface between applied research or ML teams and production engineering, Experience managing distributed teams across geographies and time zones, Demonstrated ability to build trusted relationships with Product, TPM, and platform stakeholders, Experience with COGs analysis and FinOps practices for AI/ML workloads, Solid release management and planning experience, Hands-on engineering background
Nice to Have
Ideally in an AI/ML, platform, or MLOps context, Proficiency in familiarity with Kotlin or JVM-based frameworks is a plus, Active user of AI-powered coding assistants (Windsurf, Claude Code, or similar), Genuine conviction that AI tooling meaningfully accelerates engineering teams, Ability to coach engineers on effective use of AI tools
What You'll Do.
performance conversations
Foster high-trust culture
Own end-to-end delivery
Drive new capabilities delivery
Take models from research to production
Own and evolve deployment pipeline
Establish evaluation and monitoring frameworks
Maintain and improve SLOs
Ensure engineering standards
Actively use and champion AI tooling
Set standard for AI-assisted development
Identify and introduce new AI tooling
Contribute to technical roadmap
Build relationships with ML team
Partner closely with sister teams
Engage with Fabric organisation
Represent Cortex in forums
Advocate for developer experience
Drive AI Service Catalogue vision
How You'll Work.
Team & Collaboration
Manage distributed teams; Build trusted relationships with Product, TPM, platform stakeholders; Work closely with Applied ML team; Partner closely with sister Cognition teams; Engage proactively with Fabric organisation; Represent Cortex in cross-team forums; Collaborate with engineering leadership, Product Management, TPM
Communication Scope
Clear, direct communicator; Translate complex technical topics
Process & Methodology
Release management, Planning, Scoping, Risk management, Cross-team dependency management
Full Job Description
## Description 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 ## What You Will Do Team Leadership & People Management Lead, mentor and grow a team of 4 ML Engineers and 1 Delivery Engineer across India and the UK. Run effective 1:1s, performance conversations, and career development plannin
Applying for this Manager, ML Engineering role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about Smarsh?
Real rants from real employees. Read before you apply.