Lead Software Engineer

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
: , Remix, , TailwindCSS

Backend
: , , 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 , ) 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.