Senior Manager, Data Engineering - India

The role

You will lead the EDA, ESE and Machine Learning development team in India as a Senior Engineering Manager. You will guide the engineers who report to you, shape architecture and engineering practices, and build out product features.

What you will do

• Manage and guide the engineering teams that report to you
• Build features, drive architecture, define best practices and enable product quality
• Operationalize data ingestion (Fivetran) and transformation (dbt) to move Salesforce and NetSuite data into Snowflake/Databricks
• Partner with Finance, Sales and Operations on unified reporting across pipeline, ARR, billings, churn and LTV
• Enforce analytics engineering standards: version control, automated dbt testing and modular data modeling
• Present financial and operational metrics to C-suite leaders
• Work with Staff and Principal engineers on architecture and product quality
• Provide technical leadership and oversight in your areas of expertise
• Hire, onboard and mentor a growing, diverse team
• Lead ML engineers and data scientists who ship models to production, and set standards for feature engineering, training, evaluation and serving

Required qualifications

• 8+ years in applied ML, including several years managing people
• Experience with a 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, including performance management
• Experience with Salesforce, NetSuite, dbt, Fivetran, Snowflake or Databricks
• Good understanding of SQL
• Strong understanding of software engineering principles and techniques
• Track record of SaaS ownership and a strong commitment to reliability principles
• Hands-on experience working with agile teams
• Ability to communicate effectively with engineering managers and technical and non-technical stakeholders
• Proven ability to thrive in a fast-moving, collaborative environment
• Track record of continuous improvement through innovation, delivery, process development and quality
• Experience leading geographically diverse engineering teams in a remote-first environment

Nice to have

• Commercial software development in languages and operating systems such as Golang, C++, Python or Java
• Strong technical foundation in software engineering design principles
• Strong understanding of statistical and ML concepts, including supervised and unsupervised learning, anomaly detection, classification, ranking/scoring, model evaluation and imbalanced datasets

Before you apply

• You must be located in and authorized to work in India to be considered
• Résumés from third-party agencies are not accepted at this time
• Interviews and screening are conducted primarily in English

About the company

JumpCloud is an AI-powered unified IT management platform that consolidates identity, device and access management to secure the modern workforce. It has teams in 15+ countries and is an equal opportunity employer.