Engineering Manager- Growth

ThoughtSpot; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

ThoughtSpot is seeking a Senior Engineering Manager to lead the PLG engineering team responsible for our free trial experience, AI-powered onboarding, and cross-platform plugins (Slack, Teams, Salesforce, Office ecosystems). You will own technical execution for PQL growth, activation rates, and user engagement across business users, analysts, and developers.

You will recruit and mentor engineers, drive roadmap execution, and build infrastructure for rapid experimentation while embedding AI

Qualifications

• 8+ years engineering experience with at least 3+ years in people leadership (managing managers preferred).
• Strong background in PLG or self-serve products with activation metrics and onboarding flow.
• Full-stack fluency across frontend, backend, data pipelines, and integrations.
• Hands-on experience shipping AI/ML features in production, including prompt engineering and model APIs.
• Proven ability to build experimentation infrastructure and accelerate team velocity.
• Excellent cross-functional influence and clear communication of technical constraints.
• Track record delivering quality software on schedule in fast-paced environments.
• Comfort navigating ambiguity with a bias for action and optimization.

Responsibilities

• Build and lead a high-performing engineering team; hire, mentor, and grow engineers.
• Drive the technical execution of PLG initiatives, including onboarding and plugin ecosystems.
• Architect infrastructure to enable rapid experimentation with feature flags and A/B testing.
• Embed AI in onboarding flows and product experiences, selecting models and managing costs.
• Collaborate with product, marketing, and GTM to align on priorities and tradeoffs.
• Ensure operational health of the PLG stack with monitoring and incident response.
• Balance short-term delivery with long-term platform vision and debt management.

Skills

Team leadership

PLG / self-serve product

Full-stack engineering

AI/ML in production

Experimentation infra

Cross-functional collaboration

On-time delivery

Ambiguity tolerance

Tools

LLM APIs

Prompt engineering

Cost optimization

Job description

ThoughtSpot is building a best-in-class product-led growth engine to transform how users discover, adopt, and expand with our AI-powered analytics platform. We're looking for a Senior Engineering Manager to lead the engineering team behind our PLG initiatives including our free trial experience, AI-powered onboarding, developer-focused offerings, and cross-platform plugins for Slack, Teams, Salesforce, and Microsoft/Google ecosystems.

This is a high-impact role. You'll own the technical execution of experiences that drive Product Qualified Leads, reduce time-to-value, and scale self-serve adoption across business users, analysts, and developers. You'll work closely with product, marketing, and go-to-market teams to ship fast, learn quickly, and build systems that enable continuous experimentation.

If you've built PLG products before, care deeply about developer experience, and thrive in high-velocity environments, this role is for you.

What You'll Do

• Build and lead a high-performing engineering team
  Hire, mentor, and grow engineers who can ship quality work quickly. Create a culture of ownership, transparency, and continuous learning. You'll manage the team directly and be responsible for their growth, performance, and engagement.
• Drive technical execution of PLG initiatives
  Own the roadmap for free trial onboarding, AI-powered personalization for easier onboarding, plugin ecosystem (Slack, Teams, Salesforce, Office), and developer-focused experiences. Ship features that directly impact PQL growth, activation rates, and user engagement.
• Build infrastructure for rapid experimentation
  Our biggest constraint is experimentation velocity. You'll architect systems that allow us to test hypotheses quickly - feature flags, A/B testing frameworks, and streamlined release processes. Push for shorter feedback loops and data-driven iteration.
• Integrate AI deeply into the product
  Embed LLMs into onboarding flows, personalize user journeys, and power our AI agents with smarter interactions. You'll make architectural decisions about prompt engineering, model selection, cost optimization, and reliability.
• Collaborate cross-functionally
  Work closely with Product Managers, Product Marketing Managers, and marketing leads to align on priorities, unblock execution, and communicate tradeoffs clearly. You'll influence product strategy, advocate for technical constraints, and ensure engineering has a strong voice in planning.
• Ensure operational excellence
  PLG depends on reliability. Trials must provision instantly, plugins must stay functional, and analytics must be accurate. Own monitoring, incident response, and the operational health of the PLG stack.
• Think strategically about the future
  Balance today's roadmap with long-term platform thinking. Identify technical debt that will slow us down, advocate for infrastructure investments, and position the team for the next phase of growth.

What You Bring

• 8+ years engineering experience, 3+ years managing teams (ideally managing managers)
• Deep PLG or self-serve product experience where you understand activation metrics, onboarding friction, and what drives conversion
• Full-stack technical fluency across frontend, backend, data pipelines, and integrations
• Hands-on experience shipping AI/ML features in production - prompt engineering, model APIs, cost/latency tradeoffs
• Track record building experimentation infrastructure that increased team velocity
• Strong cross-functional skills - you influence without authority and communicate technical constraints clearly
• Proven ability to ship on time while maintaining quality
• Comfort with ambiguity, iteration, and resourcefulness under constraint