• Analyze player behavior across the full funnel to translate findings into actionable product recommendations; • Design, run, interpret A/B tests and quasi-experiments; • Build and maintain cohort-based analyses to support product and investment decisions; • Define, validate, and monitor product KPIs and metric trees; • Partner with product managers to prioritize the roadmap; • Develop self-service dashboards and data sources; • Investigate anomalies in key metrics; • Maintain culture of rigorous, honest analytics; • Own web analytics implementation and data quality.

• Contribute to developing and implementing a comprehensive analytics strategy that aligns with our business objectives. • Design, develop, automate, and maintain ongoing metrics, reports, analyses, and dashboards on the critical drivers of our business. • Maintain data integrity and quality through the use of tools such as dbt. • Partner with Finance, Marketing, Sales, and Product teams to provide customer insights and identify opportunities for growth and customer acquisition, retention and engagement flows. • Champion the use of data in decision-making, ensuring data accessibility and literacy across all departments. • Champion and embed AI tools and agentic workflows across the data practice, accelerating analysis, automating repetitive tasks, and enabling forward-looking insights, while experimenting with emerging approaches and establishing best practices that continuously raise the team's AI maturity.

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a GTM AI Manager, Sales Analytics to join our team. This is a Bangalore role, reporting to the Sr. Director, GTM Operations in the Sales BI & Analytics department. In this role, you will solve complex business problems using data to drive the growth of the organization across sales and related functions. You will leverage advanced analytics, Python, Snowflake, and cutting-edge Generative AI tools to transform raw data into actionable strategic insights. What you’ll do (Role Expectations) - Collaborate with internal stakeholders to understand business challenges and develop analytical solutions to positively impact business performance - Drive Generative AI initiatives by utilizing generative AI tools and techniques to design, prototype, and implement solutions using large language models and existing AI tooling - Utilize prompt engineering to craft, optimize, and test effective prompts for large language model tools to maximize outputs and insights for business applications - Develop and optimize AI agents capable of assisting with decision-making such as in chatbots or enhancing operational efficiency within sales and related functions - Evaluate options regarding appropriate modeling techniques or algorithms and present complex data in an uncomplicated, easy-to-understand way to drive action 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 - Hands-on experience in advanced statistical analysis, constructing complex statistical models, and working with large language models like OpenAI or Anthropic along with relevant frameworks - Proven experience building, deploying, and managing AI agents or autonomous applications designed to handle tasks such as chatbots or workflow automation - Proficiency in Python, relevant machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn, and using SQL to build data models via ETL tools like DBT - Ability to drive analytics solutions in a multi-disciplinary environment while managing multiple concurrent projects and collaborating with diverse internal teams What Will Make You Stand Out (Preferred Qualifications) - Experience fine-tuning open-source large language models or implementing advanced retrieval-augmented generation pipelines specifically tailored to optimize sales operations metrics and forecasting - Advanced experience leveraging Snowflake and Salesforce.com to deliver predictive intelligence for enterprise sales pipelines - Demonstrated capability in translating complex data models into clear, actionable strategic roadmaps for executive leadership #LI-Hybrid #LI-VV3 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.

• Providing day-to-day support of the PLM tool and product community, ensure consistency of material master data fields in PLM with other business management systems, validate product data, BOMs, Operations and Financial Planning requirements, collaborate with PLM vendor support team and monitor and review system performance. • Ensure the Propel PLM system is seamlessly integrated into our operations, supporting product, engineering, manufacturing, and supply chain processes. • Maintain the PLM system's performance, security, and reliability as the system of record for all products. • Ensure the accuracy, consistency, and security of PLM data across all platforms. • Develop and implement data management practices to improve data quality and accessibility. • Tailor the PLM system to meet operational needs, implementing workflows, user roles, and data structures that support our rapidly evolving manufacturing and engineering processes. • Work closely with the Operations, Engineering, Business Technology and Product teams to ensure the PLM system enhances our operational capabilities and supports cross-functional initiatives. • Equip operational teams with the necessary training and support to utilize the PLM system fully, enhancing user adoption and system utility. • Drive continuous improvement by analyzing system usage, gathering feedback from operational teams, and implementing enhancements to support evolving business needs. • Lead PLM-related projects within the Operations team, managing timelines, resources, and deliverables to achieve project objectives. • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.