Senior Manager, Data Engineering - JumpCloud

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.

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 for building out features, helping drive architecture, defining best practices, and enabling 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 maximize the potential of the team as well as yourself.

What You’ll Be Doing

• Manage and guide the EDA/ESE and ML 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).
• 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).
• 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.
• Executive Stakeholder Management: 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, drive architecture, define best practices, and enable product quality.
• Provide technical leadership and oversight of team activities in your areas of expertise.
• Handle hiring, onboarding, and mentoring a growing and diverse team of high-potential team members.
• Participate in on-call shifts to ensure alerts are promptly addressed.

What We Are Looking For

• 8+ years in applied ML, including several years managing people and experience with production MLOps environments (versioned training pipelines, evaluation gates, model registry, automated promotion to serving).
• Experience managing a team of 8 or more members, performance management, and team building.
• Experience with tools like Salesforce, NetSuite, dbt, Fivetran, Snowflake, and Databricks.
• Good understanding of SQL and strong software engineering principles and techniques.
• Track record of SaaS ownership and a strong proponent of reliability principles.
• Hands-on experience working with agile teams.
• Exposure to AI coding agents like Cursor, Claude, or Copilot and AI tools like Gemini and Notebook LLM for day-to-day workflow optimization.
• Hands-on fluency in Python, scikit-learn / PyTorch / TensorFlow, and large-scale data platforms (Spark, Snowflake, or equivalent).
• Fluency in English (speaking and writing).
• Must be located in and authorized to work in India.