core responsibilities for the job include the following :
Strategic Translate the CEO's vision and business strategy into engineering outcomes.
- Own the technology roadmap with a view toward innovation, scalability, and long-term impact.
- Drive a future-ready mindset by embedding AI-readiness into architecture, infrastructure, and team skills.
- Champion a culture of engineering excellence, balancing speed and quality, with clarity around technical debt and ROI.
AI and Innovation Identify opportunities to leverage AI / ML across the product and services spectrumfrom workflow automation to content enrichment and decision intelligence.
Evaluate build-vs-buy decisions related to AI capabilities and infrastructure.Partner with the CTO and Product teams to ensure responsible, scalable, and measurable AI adoption.Delivery and Operational Ensure reliable, timely, and high-quality delivery of engineering projects.
Lead the adoption of DevOps, CI / CD, and quality automation best practices to improve release velocity and reduce downtime.Measure what matters : implement and track engineering KPIs aligned with business OKRs.Talent Development and Org Design :
Build and grow a high-performance, psychologically safe engineering organization.Mentor engineering managers, support their career development, and ensure healthy succession pipelines.Develop scalable systems for hiring, onboarding, promotions, knowledge sharing, and performance management.Stakeholder and Financial Collaborate with Product, Design, Customer Success, and Business teams to align priorities and dependencies.
Own engineering budgets, vendor decisions, and optimize cost-performance ratios across cloud infrastructure and toolsets.Regularly report to the leadership team and board on engineering health, strategy progress, and resourcing 10+ years of experience in engineering roles, including 4+ years in engineering leadership positions.Proven track record in leading cross-functional agile teams, delivering B2B SaaS products.Deep understanding of cloud-native architectures, modern development ecosystems, and infrastructure-as-code.Demonstrated success in evaluating, implementing, or integrating AI / ML capabilities in product or service environments.Strong grasp of product thinking, with the ability to co-own outcomes with Product Management.Hands-on experience in both front-end and back-end systems (Node.js, Python, XML, etc.) preferred.Excellent interpersonal and stakeholder communication skills.Demonstrated ability to hire, grow, and retain engineering talent in a scaling organization(ref : iimjobs.com)