Engineering Manager
Mode Analytics
We, at ThoughtSpot, are looking for an Engineering Manager to lead and grow the SpotIQ team based out of Trivandrum.
SpotIQ is an AI-driven analytics engine that uses supervised machine learning to automatically generate personalized insights. Using the power of AI, SpotIQ automatically uncovers personalized insights and delivers them to users in seconds!
You will be a hands-on technical leader responsible to build, scale, and manage the feature to make analytics entirely effortless to understand for end-users. You will have the opportunity to build features to deliver automated insights, powered by artificial intelligence in our next-generation analytics platform, to help millions of business-people make smarter decisions.
In this role, you will be a hands-on technical leader responsible to manage a team that designs, builds and scales features to deliver automated insights, to help millions of business-people make smarter decision.
What you'll do:
Drive the quality and stability of the product by getting hands-on as required with code, design and test plan reviews, and debugging distributed systems issues
Build a culture of operational excellence with a focus on observability, performance, scalability, cloud cost and security
Collaborate with diverse, cross-functional teams of designers, engineers, product managers, SREs, customer success executives
Manage and mentor backend engineers to be more effective at their work and grow their careers
What you bring (One or more of the experiences below and an insatiable desire to build and scale globally):
10+ years of experience with at least 2+ years of experience in people management and 5 years of hands-on experience in backend development
Extensive experience in designing and implementing high-performance distributed systems and real-time systems of data processing
Experience with setting high standards of software quality, operational excellence and customer centricity
Experience in programming languages C++, Java, Python, or Go
Previous experience with AI/ML technologies: recommendations systems, natural language processing (NLP), predictive modeling of time series or multi-dimensional data or signal processing
Experience in building and deploying AI/ML models in the cloud, is a plus
Experience working with geographically distributed teams and infrastructure, preferably in a high release velocity/startup environment, is a plus
Who you are:
Technical - You love technology. You love to discuss it, build it, use it, leverage it, and stay abreast of the latest developments
Problem solver - You are inspirational in problem-solving, algorithmic thinking, and programming skills along with computer science fundamentals
Recruiter & team builder - You are always looking for & hiring the best talent to ThoughtSpot. You understand the value of great teams. You enjoy collaborating with and mentoring others. You take pride in making others better
Looking for high risk-reward - SpotIQ will be the next arc of growth for Thoughtspot. It is an ambitious goal to deliver value to business users, which has never been achieved before
Customer obsessed - You are obsessed with making customers successful. You build software with customers in mind and get satisfaction by having satisfied customers. You go out of your way to help customers be successful
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.