Senior Manager, Data Engineering - India

All roles at JumpCloud® are Remote unless otherwise specified in the Job Description.
About JumpCloud®
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.

About the role:
As we grow the JumpCloud Engineering team, we are hiring a Senior Engineering Manager to lead our EDA, ESE and Machine Learning  development team in India.

You will be responsible to build out features, help drive architecture, define best practices and enable product quality. You are required to guide the engineering teams reporting to you to make things happen and excel. In this process, you will have influence over engineering practices in addition to product strategy and execution. You will be using AI tools to maximise the potential of the team as well as yourself.

You will have the opportunity to play a key role in the success and development of our engineering teams in addition to growing your own career. We are seeking a technically enabled leader who is passionate about building great products and high performing teams.

What you’ll be doing:: As part of the EDA/ESE and ML team, and as part of the engineering team as a whole here at JumpCloud, you will be responsible for managing and guiding the engineering teams reporting to you. Build End-to-End Data Pipeline Architecture: Operationalize the ingestion (Fivetran) and transformation (dbt) layers to move raw CRM (Salesforce) and ERP (NetSuite) data into our central data environment (Snowflake/Databricks) for reliable consumption. Lead-to-Cash & Revenue Ops Alignment: Partner with Finance, Sales, and Operations to build unified reporting models spanning pipeline health, ARR, billings, churn, and Customer Lifetime Value (LTV) across Salesforce and NetSuite. Data Governance & Modeling Standards: Enforce soft-engineering best practices for analytics (version control, automated testing via dbt, modular data modeling) to guarantee a single source of truth across executive dashboards. Executive Stakeholder Management: Serve as a trusted advisor to C-suite leaders, presenting complex financial and operational performance metrics backed by audited data models. You will interact effectively with the Staff and Principal engineers to build out features, help drive architecture, define best practices and enable product quality. You will have influence over our engineering practices in addition to product strategy and execution. As an active member of the engineering leadership team, you will partner with your peers and other teams to build, lead, and inspire a world class engineering organization. You will provide technical leadership and oversight of team activities in your areas of expertise. You will be responsible for hiring, on-boarding and mentoring a growing and diverse team of high potential team members.

What we are looking for:: 8+ years in applied ML, including several years managing people and experience with production MLOps environment: versioned training pipelines, evaluation gates, a model registry, and automated promotion to serving 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-tech