Engineering Manager- Growth

Job highlights

• Were 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.
• Trials must provision instantly,plugins must stay functional,and analytics must be accurate

Job Summary

Engineering Manager, Product-Led-Growth

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. Were 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. Youll 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. Youll work closely with product, marketing, and go-to-market teams to ship fast, learn quickly, and build systems that enable continuous experimentation.

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

What Youll 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. Youll 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. Youll 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. Youll 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. Youll 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 todays 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.