Posted today · be early
Senior Manager, Data Engineering - India
JumpCloud
IndiaremotePosted today
Skill Required
Data-Engineering-ManagerEngineering-ManagerMachine-Learning-ManagerData-Engineering-LeadML-Engineering-LeadSenior-Data-Engineering-ManagerData EngineerEngineering Managerdata engineeringEngineeringsoftware engineeringMachine LearningETLScikit-learnDatabricksTensorFlowSalesforceObservabilitySnowflakeanalyticssecuritybuildingPyTorchetc.)TestNGPythonGolangdesignC++SparkAgileJavadbtFulltime
Role overview
JumpCloud is the AI-powered unified IT management platform designed to secure the modern workforce by consolidating identity, device, and access management. We are hiring a Senior Engineering Manager to lead our EDA, ESE and Machine Learning development team in India. In this role, you will build out features, help drive architecture, define best practices, enable product quality, and guide the engineering teams reporting to you with influence over engineering practices and product strategy. You will use AI tools to maximize team and personal potential while playing a key role in the success and development of our engineering teams.
Responsibilities
- Build out features, help drive architecture, define best practices and enable product quality
- Manage and guide 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.
- Interact effectively with the 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
- Be responsible for hiring, on-boarding and mentoring a growing and diverse team of high potential team members
- Set the bar for feature engineering, training, evaluation, serving, and the feedback loop that keeps models accurate as product and threat patterns change.
- 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.
- Lead ML engineers and data scientists who ship models to production, not one-off notebooks.
Requirements
- 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-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); go deep on architecture when a design or incident needs it.
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.
Additional details
- 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.
- There is an expectation that our engineers participate in on-call shifts. You will be expected commit to being ready and able to respond during your assigned shift, so that alerts don't go unaddressed.
- JumpCloud has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud, you will be required to speak and write in English fluently.
- Please note: There is an expectation that our engineers participate in on-call shifts.
- Please note JumpCloud is not accepting third party resumes at this time.
- JumpCloud is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
- Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. JumpCloud will never ask for any personal account information during the recruitment process and will never send you a check for any equipment prior to employment. All official communication will come from @jumpcloud.com email addresses.
- #BI-Remote
