Quick Highlights

• Role: Lead Engineering and AI innovation at Richpanel, an AI-first customer service platform. Our vision is to help businesses handle their customer support with just one person—even when it traditionally required 100+ support agents.
• Reports to: CEO
• Stage: Team of 20 people. Multi-million ARR business with 100% year-over-year growth. Backed by Sequoia Capital and already profitable.
• Compensation:
  • Base: INR 60-80L per annum
  • Performance Bonus: 15-20% of base
  • Equity: 1-2% with additional milestone-based grants
• Team: Lead 10+ engineers initially, scaling to 20+ in 12 months
• Location: Bangalore, India (in-office)
• Why now: We're at an inflection point—proven product-market fit, strong growth, and want to leverage AI/LLMs to 10x our capabilities and transform our industry.

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About Richpanel

Richpanel is building a future where small businesses can outperform large corporations. Through our platform, business owners can deploy a fleet of AI employees that manage customer inquiries with accuracy and empathy—scaling infinitely to meet demand.

We're developing autonomous AI agents to replace traditional BPO support agents, allowing brands to respond to customers instantly with accurate, up-to-date information 24/7. We have 2,000+ brands using our platform daily and are backed by Sequoia Capital, one of the world's most prominent venture capital firms.

We're seeking an exceptional engineering leader who combines deep AI/LLM expertise with proven ability to build high-performance engineering cultures. You'll be responsible for transforming our engineering organization while spearheading our AI-first approach to product development.

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You'd be a fit if…

• Technical Expertise: Deep experience in building production-grade AI/LLM applications
• Leadership Experience: 6+ years in engineering with 2+ years leading teams of 10+
• Culture Builder: Track record of transforming engineering teams into high-performance organizations
• Startup DNA: Experience scaling engineering in resource-conscious environments
• AI Vision: Strong perspective on practical applications of AI/LLMs in B2B SaaS
• Performance Focus: History of implementing metrics-driven engineering cultures
• Ownership: You take complete responsibility for outcomes and build the same mindset in others

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Context about our stage and situation

• Currently at 10 engineers with strong technical foundation but needing leadership to scale
• Moving towards AI-first architecture to revolutionize our product capabilities
• Need to maintain rapid development velocity while improving engineering processes
• Building for scale: Both team and technical infrastructure need to support 3-6x growth

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Looking for the following traits

• Technical & AI Excellence: Deep understanding of both traditional engineering and AI/ML systems
• People Leadership: Ability to attract, retain, and develop world-class talent
• Culture Champion: Track record of building ownership-driven engineering cultures
• Business Acumen: Experience aligning technical decisions with business outcomes
• Innovation Mindset: Constantly exploring ways to leverage new technologies
• Process Builder: Skill in implementing engineering best practices that scale

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Responsibilities

• Technical Leadership
  • Drive technical vision and architecture roadmap
  • Lead AI/LLM integration across product
  • Ensure scalability and reliability of systems
  • Establish engineering best practices
• People & Culture
  • Transform engineering culture to high-performance
  • Build and scale engineering team
  • Implement clear career growth frameworks
  • Drive accountability and ownership
• AI Innovation
  • Spearhead AI-first architecture
  • Build AI/ML capabilities in team
  • Drive 10x productivity through AI tooling
  • Establish AI governance framework

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Why join us

• Impact: Direct influence on company's technical and cultural direction
• Innovation: Opportunity to build cutting-edge AI applications
• Autonomy: Full ownership of engineering organization
• Growth: Lead technical evolution of a rapidly scaling company

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Our Engineering Values

• Ownership: Complete responsibility for outcomes
• Technical Excellence: Never compromising on quality
• Innovation: Constantly pushing boundaries
• Speed: Moving fast while maintaining reliability
• Learning: Continuous growth mindset

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Interview Process

1. Initial conversation with CEO
2. Technical deep dive with VP Engineering
3. System design and AI architecture discussion
4. Team leadership scenario discussion
5. Cultural fit assessment
6. Final round with key stakeholders

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