ZOCAAI Technologies Private Limited

About the Opportunity Zoca is building AI agents to handle business operations like discovery, bookings, payments, and customer retention for local businesses, starting in beauty and wellness. The role is to head the engineering organization, working directly with the CTO, to build the company’s next chapter. The team currently consists of 10-15 engineers across multiple products, frontend, and infrastructure.
Role &amp; Responsibilities - Own engineering culture: build an environment where people take initiative, care about customers, raise problems early, and follow through, setting high standards through personal judgement and behaviour. - Lead people and leadership: hire excellent engineers, develop technical leads, coach the team, establish clear expectations, give thoughtful feedback, address performance issues directly, and create meaningful growth opportunities. - Ensure technical quality: stay close to architecture, code, and production systems; help the team choose sound abstractions, manage technical debt, and invest in foundations that make future development easier. - Improve the development lifecycle: enhance the path from idea to verified customer outcome through design reviews, code reviews, automated testing, continuous delivery, gradual rollouts, and dependable recovery. - Establish AI engineering discipline: create practical evaluation and debugging methods for agents, bring rigour to changes in prompts, models, knowledge, and tools, and turn real customer failures into tests that improve the next release. - Ensure reliability and observability: make critical customer journeys visible and actionable, own incident response and follow-through, and help detect problems before customers report them. - Manage operational ownership: work closely with product, CX, and product operations to resolve escalations, communicate clearly, and turn recurring issues into durable improvements.
Skills &amp; Qualifications Must-Have - Led engineers through a meaningful stage of product and organisational growth, with demonstrable impact on shipped products, developed people, and improved systems. - Strong software engineering foundations with ability to engage deeply in architecture, code reviews, debugging, and production investigations. - Experience leading a startup engineering team or a similarly autonomous product organisation. - Evidence of improving delivery speed while strengthening customer outcomes and reliability. - Thoughtful people management including hiring, coaching, developing leads, and handling difficult performance conversations. - Product judgement: ask why something matters, identify the smallest useful solution, and know when to revisit a requirement. - Experience operating customer-facing systems, including monitoring, incidents, external dependencies, and recovery. - Practical understanding of AI agents and their evaluation, or demonstrated ability to learn and apply unfamiliar technology quickly. - Confidence to challenge a founder constructively, make decisions together, and take responsibility for execution. - Enjoy being close to the work: coach engineers, examine integration failures, debate product scope, and interview candidates.
Benefits &amp; Culture Highlights - Join while important choices are still being made: how agents work together, how teams own products, how engineering leaders are developed, and how speed is built into the organisation. - Direct access to founders and customers, substantial ownership, and a clear connection between engineering decisions and someone’s livelihood. - Opportunity to build ambitious AI products and a team you’re proud to build them with.