Product Manager - Sales & Channel Analytics

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About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best video product 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. Here, you'll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.
About the Team
Data volumes at Zoom are growing exponentially. Zoom's business relies heavily on these rich datasets to gain deep insights and to make data driven business decisions. These decisions improve product experience, customer happiness, enable innovation, drive operational excellence and growth to make Zoom the best in the frictionless collaboration area. To achieve this, we also need to ensure that we're meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide. If you are passionate about data and leading delivery of complex, highly cross-functional data product related initiatives, and looking to join a fun and fast-moving team, we'd love to meet you!
The Sales and Partner Channels analytics team is looking for someone who can drive growth through data, process and technology solutions. The ideal candidate is an experienced product manager, thought leader, and motivated individual with great communication skills to work cross-functionally with business stakeholders, development teams, and external vendors. The candidate should have deep expertise and a proven track record in data democratization, ideally at a SaaS company. The Product Manager will be responsible for ideating and driving cross-functional requirements and execution for these initiatives with tight-knit collaboration between data scientists, functional leads, data analysts, and data engineers.
About the Role

• Product Managers (PMs) for Data & Analytics sit at the intersection of Data, Technology, and Business. Sales & Channel PM will be responsible for creating a vision and formulating strategy for Sales data products to enable business outcomes. A person in this role will define product capability and own backlogs (epics, stories) with justification for trade-offs and prioritization decisions and earn buy-in from stakeholders across multiple teams.
• Provide regular two-way communication with senior management and internal customers regarding status, risks, mitigations, and change control.
• Disrupt with positive and tangible business outcomes based on the latest industry trends, off-the-shelf solutions, subject matter expertise and thought leadership . Examples of outcomes include but are not limited to revenue retention and growth, churn management, seller productivity, deal velocity & scoring, attach rate, accurate booking and revenue forecasts, customer sat.
• Ensure data products and capabilities are compliant with various local, state, and country specific data regulations .

About You

• Product management experience taking large scale Sales & Channel initiatives from vision to product in data, working with large volumes & variety of data, cross functional technical/business teams, and systems.
• Complete Sales life cycle experience - Connect, Engage, Convert, Retain in direct and partner ecosystem. Experience with systems and processes related to the Partner ecosystem, sales and partner commissions, revenue retention and growth, churn management and subscription management. Deep practical knowledge of industry standard Sales metrics, KPIs.
• Has extensively used, integrated with, built data products on top of Salesforce, ZenDesk or similar enterprise CRM and other Sales and customer support systems.
• Experience designing, and building Sales data products - analytics / data platforms / data lake / warehouse / predictive solutions.
• Good understanding of software development lifecycle process (SDLC) and Agile methodology for iterative delivery.
• Master's degree in Sales, Analytics, Economic, Engineering, Mathematics or related discipline.
• Minimum 10+ years of total experience required. The experience needs to be both product management and data with a focus in Sales area:
  
  • 5+ years of technical hands-on experience in Sales analytics as a data analyst, engineer or data scientist.
  • 5+ years in a Sales product management role, preferably within a data science/engineering group.
• Familiarity with Python, SQL, structured/unstructured data, and datastores (Snowflake, Databricks, Redshift, MySQL, Postgres, etc.)

We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at [email protected] .
At Zoom, we care about our employees, their families, and their well-being. 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. To view our benefits, click here .
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