Head of Engineering

Location & Work Model: Bangalore (Hybrid). Initially 4 days/week in office, transitioning to 3 days/week over time.

About Infilect: Infilect is an enterprise SaaS company building AI-first products for the Consumer Packaged Goods (CPG) and Retail verticals. Our platform has been in market for ~5 years and is now entering a critical scale phase moving from single-digit million ARR to double-digit million ARR over the next three years. We are EBITDA and cash-flow positive and are preparing for strategic investments, making engineering leadership central to our growth journey. We are looking for a growth-oriented, hands-on engineering leader who can help scale our platform, teams, and engineering practices to world-class standards.

Ideal Candidate

• Prior experience in a startup or scale-up environment, with demonstrated success in scaling an engineering platform across multiple dimensions.
• Not more than 8 to 12 years of experience
• Proven track record of leading engineering teams through rapid growth phases.
• Experience building and operating enterprise-grade SaaS platforms.
• Exposure to analytics-heavy or data-intensive systems is a strong plus.

Technical Foundation

• Strong systems thinking and architectural judgment.
• Deep understanding of cloud-native architectures, DevOps, and reliability engineering.
• Ability to guide teams on trade-offs between speed, cost, and quality.

GenAI Experience: At least 1 year of hands-on exposure to using generative AI coding assistants (e.g., Copilot-like tools). Strong belief in and vision for AI-augmented engineering productivity. Willingness and ability to institutionalize GenAI-driven practices across teams.

Leadership Style

• A people-first manager who genuinely cares about team well-being and growth.
• Inspires engineers to raise the bar on quality, ownership, and impact.
• Comfortable operating at both strategic and hands-on levels.

Education

• Bachelors degree in Computer Science, Electrical Engineering, or a related field.

Role Overview: The Head of Engineering will own engineering & AI strategy, execution, and culture across the organization. This leader will be responsible for scaling the engineering platform across:

• Scale of AI
• Scale of operations
• Scale of customizations
• Scale of analytics and data
• Availability, reliability, and cost efficiency

This role requires a people-first leader who can build and sustain a high-trust, high-performance engineering culture, while also driving speed, quality, and scalability of product delivery.

Compensation & Benefits

• Competitive in-hand salary
• ESOPs aligned with long-term value creation
• Annual performance bonuses
• Opportunity to play a foundational leadership role in a profitable, scaling AI-first SaaS company

Key ResponsibilitiesEngineering Leadership & Platform Scaling

• Own the end-to-end engineering roadmap (front-end, back-end, AI, Computer Vision), architecture, and execution strategy.
• Scale the platform to support rapid ARR growth, increased customer complexity, and higher data volumes.
• Ensure best-in-class scalability, reliability, security, and availability.
• Drive engineering decisions that balance speed, robustness, and long-term maintainability.
• People & CultureBuild, mentor, and retain a high-caliber engineering & AI team.
• Foster a people-first culture with psychological safety, ownership, and accountability.
• Coach engineering managers and senior engineers to grow into leaders.
• Motivate teams to deliver robust, production-grade releases, not just fast code.
• Engineering Excellence & Best PracticesEstablish and enforce best practices across:
• System design and architecture
• DevOps, SRE, and cloud operations
• Observability, monitoring, and incident management
• Release management and quality assurance
• Raise the bar on engineering discipline and execution rigor across teams.

GenAI-Driven Engineering Transformation

• Leverage generative AIbased coding assistants and tools to:
• Increase engineering velocity
• Improve code quality
• Reduce development and maintenance costs
• Dramatically optimize cloud and infrastructure costs
• Design and implement world-class GenAI-enabled engineering workflows.
• Drive adoption of AI-assisted development as a core engineering capability.
• Cross-Functional CollaborationPartner closely with Product, Data, Sales, and Customer Success teams.
• Translate business and customer needs into scalable technical solutions.
• Support enterprise customers with complex customization and analytics needs.