JumpCloud

Senior Manager, Data Engineering - India

Remote (Bengaluru) · Staff/Principal · Remote

Recently posted - highest visibilityVerified listingPosted 8h ago

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What we know about this role

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Still inside it - posted 8h ago

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Skills required

27 listed

Agentic AIMachine LearningPerformance ManagementProcess DevelopmentFeature EngineeringCommercial SoftwareUnsupervised LearningElectronic Design Automation (EDA) Software+19 more

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Job description

All roles at JumpCloud® are Remote unless otherwise specified in the Job Description.

About JumpCloud®

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.

JumpCloud is Intelligent, Secure IT.

About the role:

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.

You will 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. You will be using AI tools to maximise the potential of the team as well as yourself.

You will 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.

What you’ll be doing:

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.

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.

You will interact effectively with the Staff and Principal engineers to build out features, help drive architecture, define best practices and enable product quality.

You will 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 world class engineering organization.

You will provide technical leadership and oversight of team activities in your areas of expertise.

You will be responsible for hiring, on-boarding and mentoring a growing and diverse team of high potential team members.

What we are looking for:

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.

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.

Bonus points:

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.

#LI-PD1

Where you’ll be working/Location:

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. You will 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. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.

One of JumpCloud's three core values is to “Build Connections.” To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO

Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud. 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.

Scam Notice:

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. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.

All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at [email protected] with the subject line "Scam Notice"

#LI-Remote #BI-Remote

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