Technical Lead Manager

Mode Analytics; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

ThoughtSpot is seeking a Tech Lead Manager to build and scale its product-led growth (PLG) engineering initiatives across free trials, AI-powered onboarding, developer-focused offerings, and self-serve customer experiences. You will partner with product, marketing, and go-to-market teams to deliver scalable, reliable, and personalized experiences that accelerate growth.

You will lead the engineering team, drive the technical roadmap for PLG initiatives, and focus on activation, conversion, and

Qualifications

• 8+ years of software engineering with at least 1 year in management.
• Strong Java or TypeScript expertise.
• Experience with PLG or self-serve products and activation metrics.
• Full-stack capabilities across frontend, backend, data pipelines.
• Hands-on AI/ML features including LLMs and model APIs.
• Experience building experimentation infra and improving velocity.
• Cross-functional collaboration and communication skills.
• Proven track record delivering quality software on time.
• Comfort in ambiguous, fast-paced environments.

Responsibilities

• Lead and grow the engineering team with mentorship and ownership culture.
• Own the technical roadmap for PLG initiatives and self-serve offerings.
• Integrate AI into product experiences with LLM prompts and models.
• Collaborate with product, marketing, and GTM to align priorities.
• Drive experimentation and optimize activation, conversion, and retention.
• Ensure operational excellence across trial provisioning and monitoring.
• Shape long-term technical strategy balancing delivery and scalability.

Skills

Java

TypeScript

PLG / self-serve

Full-stack

AI/ML in prod

Experimentation

Velocity / delivery

Stakeholder mgmt

Job description

About the Role

ThoughtSpot is seeking a Tech Lead Manager to build and scale its product-led growth (PLG) engineering initiatives across free trials, AI-powered onboarding, developer-focused offerings, and self-serve customer experiences. This role combines technical leadership, people management, and strategic execution to drive product adoption, improve user activation, reduce time-to-value, and increase conversion. You will partner closely with product, marketing, and go-to-market teams to deliver scalable, reliable, and personalized experiences that accelerate growth.

What You’ll Do

• Lead and grow the engineering team: Hire, mentor, and develop engineers while fostering a culture of ownership, collaboration, quality, and continuous learning.
• Drive PLG engineering initiatives: Own the technical roadmap and execution for free trial experiences, AI-powered onboarding, developer offerings, and self-serve customer licenses.
• Integrate AI into product experiences: Build LLM-powered onboarding and personalization capabilities, making architectural decisions around prompt engineering, model selection, cost optimization, latency, and reliability.
• Collaborate cross-functionally: Partner with Product, Product Marketing, Marketing, and Go-to-Market teams to align priorities, communicate trade-offs, and influence product strategy.
• Drive experimentation and growth: Build experimentation capabilities and optimize product-qualified leads (PQLs), activation, conversion, retention, and engagement through continuous iteration.
• Ensure operational excellence: Maintain the reliability of trial provisioning, data accuracy, monitoring, and incident response across the PLG platform.
• Shape long-term technical strategy: Balance near-term delivery with platform scalability, technical debt reduction, and infrastructure investments to support future growth.

What You’ll Bring

• 8+ years of software engineering experience, including at least 1 year of engineering team management experience.
• Strong technical proficiency in Java or TypeScript.
• Proven experience building product-led growth (PLG) or self-serve products, with a deep understanding of activation metrics, onboarding friction, conversion, and retention.
• Full-stack technical expertise across frontend, backend, data pipelines, and integrations.
• Hands-on experience shipping AI/ML features in production, including LLM integrations, prompt engineering, model APIs, and cost-latency-reliability trade-offs.
• Experience building experimentation infrastructure and improving engineering velocity through iterative development.
• Strong cross-functional collaboration, stakeholder management, and communication skills, with the ability to influence product decisions and articulate technical trade-offs.
• A track record of delivering high-quality software on time while balancing speed, scalability, and reliability.
• Comfort working in ambiguous, fast-paced environments with a resourceful and iterative approach.
• Bonus: Experience building developer-facing products or platforms, working at high-growth SaaS or analytics companies, using product analytics tools such as Mixpanel or Amplitude, or scaling systems to millions of users.