Best suited to candidates with strong technical skills in SQL and Python, working in product operations with a focus on AI integration and data-driven decision-making.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Zscaler via Greenhouse
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.
We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.
Role
We are looking for a Senior BizOps Analyst - Product Operations to join our team. This is a hybrid role, reporting to the Director, Product Revenue in the Product Operations department.
In this fast-paced, high-impact individual contributor role, you will combine strong business acumen with SQL, Python, data modeling, dashboards, custom data applications, and AI-enabled workflows. You will help Product Operations turn ambiguous business problems into clear signals, scalable analytics, decision workflows, and practical tools that improve how teams operate.
What you’ll do (Role Expectations)
Partner with Product leadership to clarify high-priority business questions and define the signals, dashboards, workflows, or AI agents needed to accelerate product and operational decision-making
Own the Product Operations signals repository as the single source of truth for business logic, data inputs, definitions, owners, status, and documentation
Build clean, reusable data models and advanced SQL transformations that power dashboards, custom applications, decision workflows, and AI agents
Develop dashboards and Python-based custom data applications when standard BI tools are not sufficient, ensuring solutions are adopted and actively used by teams
Translate ambiguous Product Operations problems into buildable specifications, review AI agent outputs, apply ML/NLP techniques where useful, and present signal performance and recommendations clearly to stakeholders
Who You Are (Success Profile)
You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
3–5 years of experience in data, analytics, business operations, product operations, or a related role
Strong SQL skills, practical Python experience, and the ability to transform, structure, and validate complex datasets
Strong data modeling skills with the ability to design clean, scalable, reusable datasets and metric/signal definitions
Proven ability to translate ambiguous Product Operations problems into buildable signal specifications, dashboards, applications, or workflows, supported by strong documentation, communication, and independent execution skills
What Will Make You Stand Out (Preferred Qualifications)
Experience designing, evaluating, or integrating AI agents, LLMs, or automated decision workflows to streamline product operations and signal detection
Experience working directly with Product teams
Experience building internal tools or custom applications beyond standard BI dashboards
#LI-hybrid
#LI-KM8
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more!
Learn more about Zscaler's hybrid working model and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Source: Zscaler careers (Greenhouse)