ThoughtSpot

Engineering Manager - Backend

Bengaluru, India
Machine Learning
Search for More Jobs Talk to a recruiter now 💪
Description
About the role:

Are you a passionate leader who thrives at the intersection of machine learning, natural language processing, and large language models? Do you have a proven track record of building and managing high-performing engineering teams in the search product space? If so, we want to hear from you!We, At ThoughtSpot, are on a mission to empower everyone with the ability to analyse data and gain insights. We're looking for an exceptional Engineering Manager to lead a talented team in building and scaling our next-generation search experiences powered by Machine Learning, Natural Language Processing, and Large Language Models (LLMs).

What you'll do: 

  • Lead and manage a cross-functional engineering team focused on search product development.
  • Define the technical vision and roadmap for assigned search features, ensuring alignment with product strategy and business goals.
  • Recruit, mentor, and develop top engineering talent, fostering a culture of innovation and excellence.
  • Collaborate with machine learning scientists, data scientists, designers, and product managers to bring search features to life.
  • Oversee the entire development lifecycle, from ideation and design to implementation and deployment.
  • Ensure code quality, maintainability, and adherence to best practices.
  • Champion the use of machine learning, NLP, and LLM technologies to enhance search functionality.
  • Track key performance indicators (KPIs) and iterate on search features based on data and user feedback.

What you bring (One or more of the experiences below and an insatiable desire to build and scale globally):

  • 10+ years of experience in software engineering, with a focus on search products or related domains.
  • Proven experience leading and managing high-performing engineering teams.
  • Strong understanding of machine learning fundamentals, NLP techniques, and large language models (LLMs).
  • Experience with search ranking algorithms, information retrieval systems, and relevance models.
  • Excellent communication, collaboration, and interpersonal skills.
  • Ability to translate product vision into actionable technical roadmaps.
  • Passion for building elegant, scalable, and user-centric software.

#Li-ds

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.

Please see our Candidate Privacy Notice. By submitting your application to us, you acknowledge and agree that:
  • You have read and understood the Candidate Privacy Notice (“Notice”) and acknowledge the collection, processing, use and disclosure of your personal information as set out in the Notice.
  • You are not required to provide any requested information to us, but failure to do so may result in not being able to continue your candidacy for a job with us.
  • The information you give us is true and correct to the best of your knowledge and belief, and you have not knowingly omitted any related unfavorable information. Providing any inaccurate or misleading information may make you ineligible for employment.


To all recruitment agencies:
ThoughtSpot does not accept agency resumes. Please do not forward resumes to our jobs alias, ThoughtSpot employees, or any other organization location. ThoughtSpot nor its employees are not responsible for any fees related to unsolicited resumes.

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 320 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

Cancel anytime / Money-back guarantee

Wall of love from fellow engineers