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Senior Manager, Engineering

Mode Analytics

Mode Analytics

Hyderabad, Telangana, India
Posted on Jan 9, 2026

About the role:

We are looking for a Senior Manager to lead the engineering team responsible for ThoughtSpot’s data platform team, our flagship interactive analytics experience.

The Data Platform team owns how ThoughtSpot connects to, manages, and queries data across Snowflake, BigQuery, Redshift, Databricks, and other external systems. In this role, you will define the technical roadmap, guide architecture, mentor engineers, and ensure delivery of a scalable, reliable, and high-performance platform used by thousands of enterprise customers.

This is a hands-on leadership role: ~60% technical contribution (architecture, design reviews, prototyping, performance tuning) and ~40% people leadership (coaching, execution, quality, cross-functional collaboration)

What you'll do:

Technical Leadership

  • Provide architectural vision, strong technical direction, and hands-on guidance to engineering teams.
  • Drive modernisation of existing systems, including multi-tenant architecture, cloud-native deployments, containerisation, and Kubernetes-based scaling.
  • Foster best practices in microservices design, distributed systems, API development, and backend performance optimisation.
  • Lead high-impact initiatives across reliability, security, scalability, and observability.

Execution & Delivery

  • Lead a team of engineers in delivering capabilities across multiple releases with predictable, high-quality execution.
  • Break down ambiguous feature requirements into technical plans, milestones, and deliverable workstreams.
  • Improve iteration velocity through better tooling, CI/CD, testing automation, and standardisation.
  • Work closely with SRE to ensure smooth releases, on-call quality, incident analysis, and reliability improvements.

People Leadership

  • Mentor, coach, and grow engineers; support career development through feedback, performance discussions, and empowerment.
  • Create a high-performing engineering culture anchored on ownership, accountability, and continuous improvement.
  • Partner with cross-functional leaders (Product, Design, QA, SRE, Customer Success) to align priorities and remove execution blockers.

What you'll bring:

  • 10+ years of software engineering experience, including 2–4 years in a technical leadership/management role.

  • Strong expertise in Java, distributed systems, microservices, cloud-native development, and container/Kubernetes orchestration.
  • Deep experience building complex data/analytics products or consumer-grade interactive UIs.
  • Ability to lead architecture discussions, make technical decisions, and balance short-term vs. long-term trade-offs.
  • Proven track record of mentoring engineers, driving execution, and leading teams through technical complexity.
  • Experience with data platforms, analytics engines, query execution systems, or real-time connectors.
  • Exposure to cloud security, identity (OAuth, SSO, IDP integrations), and tenant isolation models.
  • Experience working with gRPC/Thrift APIs, high-performance threading models, or asynchronous queue-based systems.
  • Familiarity with AI/ML-based productivity tooling or agentic workflows.
  • Prior experience in high-growth SaaS or enterprise product companies

Hybrid Work at ThoughtSpot:This office-assigned role is available as a hybrid position. Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office requirement of at least three days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.

Hybrid Work at ThoughtSpot

This office-assigned role is available as a hybrid position.

Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office requirement of at least three days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.

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

At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.