JumpCloud: Senior Manager, Data Engineering - India — Bangalore, India - Remote

About JumpCloud

JumpCloud develops an open directory platform. Its cloud-based system manages user identity, access and device administration for enterprise IT teams, covering single sign-on, multi-factor authentication and cross-platform device management from one directory. The company is headquartered in Louisville, Colorado. IT teams use it to extend or replace legacy in-house directories, and the employer feed lists engineering and customer-facing roles for the platform.

The position and its setting

JumpCloud lists Senior Manager, Data Engineering - India in Bangalore, India - Remote, under reference ebf3b99a-a193-4ac8-83c3-d901af4a3de2. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Engineering
• Employment type: Full Time
• team: Data Engineering

Responsibilities and work described

• 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
• Be responsible to build out features, help drive architecture, define best practices and enable 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
• Be using AI tools to maximise the potential of the team as well as yourself
• Have the opportunity to play a key role in the success and development of our engineering teams in addition to growing your own career
• We are seeking a technically enabled leader who is passionate about building great products and high performing teams
• As part of the EDA/ESE and ML team, and as part of the engineering team as a whole here at JumpCloud, you will be responsible for managing and guiding the engineering teams reporting to you
• Building: 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
• Have influence over our engineering practices in addition to product strategy and execution
• As an active member of the engineering leadership team, you will partner with your peers and other teams to build, lead, and inspire a engineering organization
• Delivery: technical leadership and oversight of team activities in your areas of expertise

Essential requirements and candidate background

• 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: tools like salesforce, netsuite, dbt, fivetran, snowflake, databricks
• Good Understanding on SQL
• Understanding: software engineering principles and techniques
• Track record of Software-as-a-Service Ownership, and proponent of Reliability Principles
• Hands-on experience working with agile teams
• Work and communicate effectively with other engineering managers, and both technical and non-technical business stakeholders
• 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: 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
• Lead ML engineers and data scientists who ship models to production, not one-off notebooks
• Set the bar for feature engineering, training, evaluation, serving, and the feedback loop that keeps models accurate as product and threat patterns change
• 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
• 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

Preferred experience and additional strengths

• Commercial software development in a variety of languages and operating systems technologies (Golang, C++, Python, Java, etc.)
• Technical foundation in software engineering design principles
• Understanding: statistical and ML concepts including supervised and unsupervised learning, anomaly detection, classification, ranking/scoring, model evaluation, and handling imbalanced datasets

Location, schedule and contract conditions

• JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted 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
• Please note: There is an expectation that our engineers participate in on-call shifts
• Be expected commit to being ready and able to respond during your assigned shift, so that alerts don't go unaddressed
• Language:
• 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
• Any additional language requirements will be included in the details of the job description
• Why JumpCloud?
• If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you!
• JumpCloud is an incredible place to share and grow your expertise!
• You’ll work with amazing talent across each department who are passionate about our mission
• We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Manager, Data Engineering - India vacancy is not an offer for reference ebf3b99a-a193-4ac8-83c3-d901af4a3de2; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to JumpCloud

Applications follow the official employer page linked below.

Open the official JumpCloud posting below and match the title and reference ebf3b99a-a193-4ac8-83c3-d901af4a3de2.

Compare your qualifications and experience with the essential conditions for the Bangalore, India - Remote position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• C++
• SQL
• Spark
• AI/ML
• LLMs
• NetSuite
• Excel
• Salesforce
• machine learning
• AI