Immigration sponsorship is not available for this position.
What you can expect
You will build production machine-learning systems that predict customer growth and retention signals. You will partner across engineering, sales, and product teams using scalable MLOps practices. You will directly influence revenue strategy through automated, data-driven scoring and insights.
About the Team
Our team delivers predictive intelligence that drives revenue growth decisions. We collaborate across data engineering, product, and go-to-market functions. We exist to turn product usage data into actionable business outcomes.
Responsibilities
Building and deploying end-to-end machine learning models — from exploration through production — that score customer expansion likelihood and churn risk, directly informing revenue strategy.
Designing and maintaining automated pipelines for model retraining, monitoring, and incident response, ensuring prediction accuracy and system reliability at scale.
Partnering with engineering and product teams to define telemetry schemas and data contracts, ensuring high-quality inputs that support longitudinal user behavior modeling.
Conducting exploratory analyses and experiments to diagnose conversion changes, validate product hypotheses, and deliver actionable recommendations to senior leadership.
Communicating findings and model outcomes to cross-functional stakeholders, translating complex results into clear narratives that guide sales, product, and customer success decisions.
What we’re looking for
Demonstrate deep proficiency in Python (including ML libraries) and SQL for data modeling, analysis, and production model development.
Show experience building, deploying, and monitoring machine learning models in production environments with real business impact.
Apply solid foundations in statistics, experimentation design, and causal inference to ambiguous business problems.
Exhibit experience working with product telemetry or event-stream data to model user behavior and lifecycle transitions.
Communicate complex technical findings clearly to non-technical stakeholders, including senior leadership.
Nice to have:
Operate MLOps platforms (such as MLflow, SageMaker, or Vertex AI) and data transformation tools (such as dbt or Snowflake), or demonstrate equivalent practical experience.
Bring experience with model serving frameworks, data quality tooling, or observability platforms in a SaaS environment.
Guide early-career team members through code review, pairing, and knowledge sharing to elevate collective team capability.
Salary Range or On Target Earnings:
Minimum:
$124,000.00Maximum:
$271,200.00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
Anticipated Position Close Date:
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.
Skills Required
- Deep proficiency in Python including ML libraries and SQL for data modeling
- Experience building deploying and monitoring machine learning models in production
- Solid foundations in statistics experimentation design and causal inference
- Experience with product telemetry or event-stream data to model user behavior
- Ability to communicate complex findings to non-technical stakeholders
- Operate MLOps platforms or data transformation tools or equivalent experience
- Experience with model serving frameworks data quality tooling or observability platforms in SaaS
- Guide early-career team members through code reviews and knowledge sharing
Zoom Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoom and has not been reviewed or approved by Zoom.
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Fair & Transparent Compensation — Pay is considered competitive and above average across many roles, with strong total compensation and equity as a meaningful component. Satisfaction is often higher in engineering and other in-demand functions.
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Healthcare Strength — Benefits include multiple medical plan options, company-paid life and disability coverage, and dental and vision at no cost for employees and dependents. Mental health resources, EAP access, and wellness supports are emphasized as part of the package.
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Parental & Family Support — Paid parental leave is provided for all parents with additional time for birthing parents, complemented by family-forming support and post-leave career coaching. These programs are positioned as meaningful elements of total rewards.
Zoom Insights
What We Do
Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom platform you know and love. 💙 Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses. We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you’ll work across teams to dig deep into impactful projects that are changing the way people communicate, and find room to grow with opportunities to stretch your skills and advance your career in a diverse, inclusive environment. Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home
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