Senior Manager, Data Engineering - India

Bangalore, India - Remote · 8+ years experience · Full-time · Remote · Posted Oct 1, 2026

At a glance

JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.
JumpCloud is Intelligent, Secure IT.

JumpCloud is hiring a Senior Engineering Manager to lead the EDA, ESE, and Machine Learning development team in India.
The role involves building features, driving architecture, defining best practices, and enabling product quality while using AI tools to maximize team potential.
The position offers the opportunity to play a key role in the success and development of engineering teams while growing your career in a remote environment.

Manage and guide the engineering teams reporting to you.
Build End-to-End Data Pipeline Architecture by operationalizing ingestion and transformation layers to move raw data into a central data environment.
Partner with Finance, Sales, and Operations to build unified reporting models spanning pipeline health, ARR, billings, churn, and Customer Lifetime Value.
Enforce software engineering best practices for analytics to guarantee a single source of truth across executive dashboards.
Serve as a trusted advisor to C-suite leaders, presenting complex financial and operational performance metrics backed by audited data models.
Interact effectively with Staff and Principal engineers to build out features, help drive architecture, define best practices and enable product quality.
Provide technical leadership and oversight of team activities in your areas of expertise.
Responsible for hiring, on-boarding and mentoring a growing and diverse team of high potential team members.
Lead ML engineers and data scientists who ship models to production, not one-off notebooks.
Set the bar for feature engineering, training, evaluation, serving, and the feedback loop that keeps models accurate.

8+ years in applied ML, including several years managing people and experience with production MLOps environment.
Experience managing a team of 8 or more members, performance management and building a successful team.
Experience with tools like salesforce, netsuite, dbt, fivetran, snowflake, databricks.
Good Understanding on SQL.
Strong understanding of software engineering principles and techniques.
Track record of Software-as-a-Service Ownership, and strong proponent of Reliability Principles.
Hands-on experience working with agile teams.
Ability to work and communicate effectively with other engineering managers, and both technical and non-technical business stakeholders.
Experience leading geographically diverse engineering teams in today's remote first work environment.
Strong understanding of statistical and ML concepts including supervised and unsupervised learning, anomaly detection, classification, ranking/scoring, model evaluation, and handling imbalanced datasets.

All roles at JumpCloud are Remote unless otherwise specified in the Job Description.
You must be located in and authorized to work in the country noted in the job description to be considered for this role.

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