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.
Skills Required
- 8+ years of experience in applied machine learning
- Several years of people-management experience
- Production MLOps experience, including versioned training pipelines, evaluation gates, model registry, and automated promotion to serving
- Experience managing a team of 8 or more members
- Experience with Salesforce, NetSuite, dbt, Fivetran, Snowflake, and Databricks
- Good understanding of SQL
- Strong understanding of software engineering principles and techniques
- Experience with SaaS ownership and reliability principles
- Hands-on experience working with agile teams
- Ability to communicate effectively with engineering managers and technical and non-technical stakeholders
- Experience leading geographically diverse engineering teams in a remote-first environment
- Experience using AI coding agents and AI productivity tools
- Experience leading ML engineers and data scientists shipping models to production
- Hands-on fluency in Python, scikit-learn, PyTorch, or TensorFlow
- Experience with large-scale data platforms such as Spark, Snowflake, or equivalent
- Experience with feature engineering, training, evaluation, serving, and model feedback loops
- Experience with monitoring, rollback, SLAs, and on-call practices for model health
- Ability to work in and be authorized for employment in India
- Fluent written and spoken English
- Commercial software development experience with languages such as Golang, C++, Python, or Java
- Strong technical foundation in software engineering design principles
- Strong understanding of statistical and machine learning concepts, including anomaly detection, classification, ranking, model evaluation, and imbalanced datasets
What the Team is Saying
JumpCloud Compensation & Benefits Highlights
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Healthcare Strength — Multiple medical plan options (including an HSA with employer contribution) plus dental, vision, EAP, disability, and life insurance are explicitly offered. Feedback suggests the overall healthcare package is a core strength.
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Retirement Support — A 401(k) with company match is clearly provided and repeatedly highlighted in company materials and employee commentary. Feedback suggests retirement benefits contribute meaningfully to total rewards.
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Leave & Time Off Breadth — Flexible/unlimited PTO, paid sick leave, and parental leave are standard, and feedback suggests the time‑off policy is genuinely usable and encouraged. This breadth of leave is consistently noted alongside a remote‑first setup.
JumpCloud Insights
What We Do
JumpCloud’s mission is to Make Work Happen®, providing simple, secure access to an organization’s technology resources from any device, or any location. The JumpCloud Open Directory Platform gives IT, security operations, and DevOps a single, cloud-based solution to control and manage employee identities and their devices, and apply conditional access controls based on Zero Trust principals. Since launching in 2012, our global user base has grown to more than 150,000 organizations, with more than 5,000 paying customers including Cars.com, GoFundMe, Grab, ClassPass, Uplight and Peloton. JumpCloud has raised over $400M from world-class investors including Sapphire Ventures, General Atlantic, Sands Capital, Atlassian, and CrowdStrike. Our teams are growing fast, too, and we're looking for talent across engineering, sales, customer success, marketing, product management, and more. Join our team of dedicated, passionate, and creative people who are eager to change the IT industry forever. We live by our core values which are: Build Connections Think Big 1% Better Every Day
Why Work With Us
We offer an incredible opportunity to see your impact. Each team member gets an up close personal view and education into building a fast growing startup. We are transparent about what we are doing, how we are doing it, and the decisions that we are making. There is opportunity to progress and flexibility to find unique approaches to our business
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JumpCloud Offices
Remote Workspace
Employees work remotely.
JumpCloud is committed to being remote-first across the world. We have team members in most U.S. states and in 14 countries.
