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Senior Manager, Data Engineering - India
Contract type
Ongoing
Work mode
Remote · India
Experience
Senior · 8+ years
Job description
Senior Engineering Manager to lead JumpCloud's EDA, ESE and Machine Learning development team in India, building features, driving architecture and guiding engineering teams. The role combines people leadership with hands-on data pipeline, analytics and ML engineering oversight.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · India
- Languages
- English – fluent
What you'll do
- Manage and guide the engineering teams reporting to you
- Build End-to-End Data Pipeline Architecture: operationalize ingestion (Fivetran) and transformation (dbt) layers to move raw CRM (Salesforce) and ERP (NetSuite) data into a central data environment (Snowflake/Databricks)
- 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
- 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
- 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
- Influence engineering practices in addition to product strategy and execution
- Partner with peers and other teams to build, lead, and inspire a world class engineering organization
- Provide technical leadership and oversight of team activities in your areas of expertise
- Hire, on-board and mentor a growing and diverse team of high potential team members
- Lead ML engineers and data scientists who ship models to production
- Set the bar for feature engineering, training, evaluation, serving, and the feedback loop that keeps models accurate
- Partner with product, platform, and security to turn identity, device, and telemetry signals into outcomes such as precision, false-positive rate, and time-to-detect
- Hire, coach, and sequence work across L3–L5 ICs with clear SLAs, monitoring, rollback, and on-call for model health
- Use AI tools to maximise the potential of the team as well as yourself
What we're looking for
- 8+ years in applied ML, including several years managing people
- 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 of 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
- Proven ability to thrive in a fast-moving, team-oriented, collaborative environment
- Track record of continuous improvement through innovation, delivery, process development, quality, etc.
- Experience leading geographically diverse engineering teams in today's remote first work environment
- Exposure to AI coding agents like Cursor, Claude or Copilot and AI tools like Gemini, Notebook LLM and effective usage of these for day to day work optimization
- Hands-on fluency in Python, scikit-learn / PyTorch / TensorFlow, and large-scale data platforms (Spark, Snowflake, or equivalent)
- Must be located in and authorized to work in the country noted in the job description
- Willingness to participate in on-call shifts
Nice to have
- Commercial software development in a variety of languages and operating systems technologies (Golang, C++, Python, Java, etc.)
- 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 handling imbalanced datasets
Your team
EDA, ESE and Machine Learning team
Engineering team focused on data pipelines, analytics and machine learning
Apply
About JumpCloud
Intelligent, Secure IT.
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.
Mission
To secure the modern workforce by consolidating identity, device, and access management, providing intelligent, secure IT that scales from human users to autonomous AI agents.
Key facts
- IT management software
- Teams in 15+ countries around the world
- Conducts internal business in English
- Remote First company
- One of three core values is to "Build Connections"
What they value
- Build Connections