Customer Success Manager
Americas
About The Role:
We’ve built Mode from the ground up to be the best analytics platform for Analysts and Data Scientists. As we’ve grown, an increasingly broad audience people on teams from Finance to Operations, Marketing to Engineering, and everything in between has begun to use Mode to collaborate with analysts and use data in everyday decisions. For our 500+ customers, Mode is the central place where data experts and domain experts can come together to make sense of data at the rapid pace of business today.
As an Enterprise Customer Success Manager at Mode, you’ll own a portfolio of fast growing Enterprise customers. By building exceptional relationships with each customer that you manage, you’ll deliver value at all stages of the customer journey to drive mutual success and growth. If you’re a proactive customer champion – passionate about solving problems, connecting customer value to growth, and advising customers – you’ll bring tremendous value to our customers and team!
What You’ll Do:
What You’ll Bring:
Benefits & Perks:
About Mode
Mode is a collaborative analytics platform that brings teams together around data to make game-changing decisions.
In everything we do, we strive to put the people we do it for first. This starts internally: together we’re building a culture that embraces diversity and learning, humility and gratitude. At the same time, we try not to take ourselves too seriously and strive for a healthy balance between work and personal pursuits.
Benefits you can expect as a Mode employee:
Mode is committed to building an inclusive and diverse workforce. We are an Equal Opportunity Employer and welcome people from all backgrounds, experiences, abilities and perspectives.
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What makes ThoughtSpot a great place to work?
ThoughtSpot is the experience layer of the modern data stack, leading the industry with our AI-Powered Analytics and natural language search. We hire people with unique identities, backgrounds, and perspectives this balance-for-the-better philosophy is key to our success. When paired with our culture of Selfless Excellence and our drive for continuous improvement (2% done), ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.
ThoughtSpot for All
Building a diverse and inclusive team isn’t just the right thing to do for our people, it’s the right thing to do for our business. We know we can’t solve complex data problems with a single perspective. It takes many voices, experiences, and areas of expertise to deliver the innovative solutions our customers need. At ThoughtSpot, we continually celebrate the diverse communities that individuals cultivate to empower every Spotter to bring their whole authentic self to work.
We’re committed to being real and continuously learning when it comes to equality, equity, and creating space for underrepresented groups to thrive.
Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.
About ThoughtSpot
The world’s most innovative companies use AI-Powered Analytics from ThoughtSpot to empower every person in their organization, from C-suite executive to frontline employee, with the ability to ask and answer data questions, create and interact with data-driven insights, and use these insights to make informed decisions and take action. ThoughtSpot is simple enough for any business person to use, yet built to handle even the largest, most complex data, wherever it may reside. That’s why customers like T-Mobile, BT, Snowflake, HubSpot, Exxon, Daimler, Medtronic, Hulu, Nasdaq, OpenTable, Huel, and Nationwide Building Society have turned to ThoughtSpot to transform their data driven decision-making cultures.
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