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 experienceProven 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 FoundationStrong 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 StyleA 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.EducationBachelor’s 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 AIScale of operationsScale of customizationsScale of analytics and dataAvailability, reliability, and cost efficiencyThis 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 & BenefitsCompetitive in-hand salaryESOPs aligned with long-term value creationAnnual performance bonusesOpportunity to play a foundational leadership role in a profitable, scaling AI-first SaaS companyKey ResponsibilitiesEngineering Leadership & Platform ScalingOwn 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 architectureDevOps, SRE, and cloud operationsObservability, monitoring, and incident managementRelease management and quality assuranceRaise the bar on engineering discipline and execution rigor across teams.GenAI-Driven Engineering TransformationLeverage generative AI–based coding assistants and tools to:Increase engineering velocityImprove code qualityReduce development and maintenance costsDramatically optimize cloud and infrastructure costsDesign 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.
Job Title
Engineering Manager