Job Title : Engineering Lead – SaaS, AI & Product-Led Innovation
Location : Gurgaon (HQ)
Function : Technology | Reports to : CTO
Type : Full-Time | Level : Senior Lead / Future CTO-track
Message from CTO (Hiring Manager) :
"Hello! I’m Aresh Mishra, former Microsoft executive and current CTO at GrowthJockey. We are on a quest to build a top-tier tech team—True Alpha—to make a significant impact on billions of lives worldwide through our advanced technology ventures. If you’re passionate about driving technological innovation and making a global difference, we’d love for you to join our team.”
About GrowthJockey
GrowthJockey is India’s first full-stack Venture Architect company, committed to designing, building, and scaling high-performance digital businesses from scratch. We are not a service provider—we are venture builders.
We work with large enterprises and visionary founders to develop future-ready digital platforms and intelligent products. Our proprietary technology and innovation ecosystem includes :
- Intellsys – a robust suite of modular tech accelerators
- OttOAgent & OttO-Pilot – advanced AI-native CRM and growth platforms
- Full-stack SaaS development and deep-tech product infrastructure
- Category-defining ventures across automotive, finance, consumer brands, and more
We are on a clear path to build a ₹1000 Cr company in the next 5 years, and are looking for top-tier engineering leaders who want to be part of that journey from the front lines.
The Role
As Engineering Lead, you will be responsible for leading the architecture, development, and scale-up of powerful SaaS platforms, AI-integrated products, and composable digital infrastructure. You’ll own the product-engineering bridge and lead a team of talented developers across high-stakes, high-velocity venture environments.
This is a leadership role with deep accountability, high autonomy, and a future CTO-track.
Key Responsibilities
Technology Leadership
Architect, design, and lead development across multiple product lines and client ventures.Own the delivery of scalable, secure, and modular digital platforms.Maintain best-in-class engineering standards across code quality, performance, and technical design.Evaluate and implement new tech stacks, libraries, tools, and cloud solutions aligned with future-readiness.Product Engineering Execution
Collaborate with product managers, UI / UX teams, and business stakeholders to translate user needs into feature-rich applications.Define SDLC processes, CI / CD pipelines, and scalable deployment architecture.Build reusable components and frameworks for faster venture deployments.AI & Data Integration
Work with ML engineers and data architects to embed AI workflows into products.Integrate vector databases, LLM APIs, and decision intelligence layers where relevant.Design data-led product environments that support intelligent workflows, automation, and personalization.Team Leadership
Mentor and grow a multidisciplinary engineering team.Set goals, review code, conduct performance reviews, and foster a culture of high ownership.Define engineering KPIs and ensure high delivery velocity through agile sprints.Technology Stack You’ll Own and Scale
Frontend : React.js, Remix, Next.js, TailwindCSS
Backend : Node.js, Express.js, GraphQL, REST APIs
AI / ML Integration : Python, FastAPI, LLM APIs, Vector DBs
Cloud & DevOps : AWS / GCP, Serverless (Lambda), Docker, Kubernetes, Terraform, GitHub Actions
Databases : PostgreSQL, MongoDB, Redis, Firebase, Supabase
Monitoring & Testing : Sentry, LogRocket, Jest, Cypress, E2E automation
Architecture : Microservices, BFF (Backend for Frontend), RBAC, Webhook-driven flows, Multi-tenant SaaS infra
Ideal Profile
4–6 years of experience in full-stack development, with at least 2–3 years in a lead role.Strong foundation in scalable systems architecture and performance optimization.Deep expertise in the modern JavaScript ecosystem (React.js, Node.js) and cloud-native architectures.Experience with SaaS platforms, microservices, and multi-tenant systems.Prior exposure to AI / ML environments, intelligent automation, or data products is a strong advantage.Strong product mindset—ability to work closely with design, growth, and business teams.High-ownership individual with bias for action and passion for delivering impact.What You’ll Get
The opportunity to build foundational platforms for India’s next ₹1000 Cr product-tech company.Fast-tracked exposure to venture creation, category design, and product leadership.Hands-on access to some of the most complex product engineering challenges in SaaS and AI.Mentorship from top leaders across tech, growth, product, and venture building.Competitive salary + performance-linked bonuses + ESOPs for high performers.