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JumpCloud develops a unified identity, device, and access management platform for organizations with distributed IT environments. Its SaaS products bring together cloud directory services, cross-platform device management, Active Directory modernization, identity lifecycle controls, conditional access, passwordless authentication, multifactor authentication, and zero trust security. The platform also supports automated onboarding and offboarding, compliance workflows, SaaS management, and integrations with HR systems, helping enterprise teams manage users and devices across operating systems while reducing operational complexity.
Senior Manager, Data Engineering — India Remote
Lead JumpCloud’s data engineering and machine learning teams in India, building production ML systems, scalable data pipelines, and strong engineering practices. Partner across the business to deliver reliable reporting and measurable outcomes from identity, device, and telemetry data.
Description
- Lead the EDA, ESE, and machine learning development team in India
- Manage and support the engineering teams reporting to this role
- Design end-to-end data pipelines, including Fivetran ingestion and dbt transformation of Salesforce and NetSuite data into Snowflake or Databricks
- Work with Finance, Sales, and Operations to create unified reporting models for pipeline health, ARR, billings, churn, and Customer Lifetime Value
- Apply analytics engineering standards through version control, automated dbt testing, and modular data models
- Advise C-suite leaders and present financial and operational metrics supported by audited data models
- Work with Staff and Principal Engineers on feature development, architecture, engineering standards, and product quality
- Shape engineering practices, product strategy, and execution
- Collaborate with engineering leadership and other teams to strengthen and inspire the engineering organization
- Provide technical direction and oversight for team activities
- Hire, onboard, mentor, and develop a growing and diverse team
- Lead ML engineers and data scientists delivering production models
- Define standards for feature engineering, training, evaluation, serving, and model feedback loops
- Partner with product, platform, and security teams to convert identity, device, and telemetry signals into measurable outcomes
- Establish SLAs, monitoring, rollback procedures, and on-call processes for model health
Requirements
- At least 8 years of applied machine learning experience, including several years managing people and working with production MLOps
- Experience managing teams of 8 or more people, including performance management and team building
- Experience with Salesforce, NetSuite, dbt, Fivetran, Snowflake, and Databricks
- Strong SQL knowledge
- Strong command of software engineering principles and practices
- Demonstrated SaaS ownership and reliability experience
- Hands-on experience with agile development teams
- Ability to communicate effectively with engineering managers and technical and non-technical stakeholders
- Ability to succeed in a fast-moving, collaborative environment
- Demonstrated continuous improvement through innovation, delivery, process development, and quality
- Experience leading geographically distributed engineering teams in a remote-first environment
- Familiarity with AI coding agents such as Cursor, Claude, or Copilot, plus AI tools including Gemini and NotebookLM
- Experience leading ML engineers and data scientists who deploy models to production
- Experience with feature engineering, training, evaluation, serving, and model feedback loops
- Hands-on proficiency in Python, scikit-learn, PyTorch, TensorFlow, and large-scale data platforms such as Spark or Snowflake
- Ability to work with product, platform, and security teams to turn identity, device, and telemetry signals into measurable outcomes
- Experience hiring, coaching, and sequencing work for L3–L5 individual contributors, with SLAs, monitoring, rollback, and model-health on-call processes
- Commercial software development experience with Golang, C++, Python, Java, or other languages and operating-system technologies is a bonus
- A strong foundation in software engineering design principles is a bonus
- A strong grasp of statistical and machine learning concepts, including supervised and unsupervised learning, anomaly detection, classification, ranking or scoring, model evaluation, and imbalanced datasets is a bonus
- Must be located in India and authorized to work there
- Fluency in spoken and written English is required
- Engineers are expected to participate in on-call shifts
Benefits
- Remote-first work arrangement within India
- Career growth opportunities
- Work alongside talented, supportive colleagues and an experienced executive team
- Opportunity to shape engineering practices, product strategy, and execution
- Equal opportunity employment
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