Head of Engineering

We are looking for a Founding - Head of Engineering who can build the product and the engineering organization from the ground up. This is not a manager-only role. You will be: Architect, Builder, Team leader, Technical decision maker, and Culture setter. You will own engineering end-to-end, from product architecture to shipping velocity, from hiring to scalability.

Your responsibilities will be across the following functions:

Own Product Architecture:

• Design scalable, AI-first system architecture.
• Build distributed systems that support real-time marketing workflows.
• Make decisions on stack, infra, LLM usage, vector DB, agent orchestration, etc.
• Ensure performance, reliability, and security from day one.

Build and Ship Fast:

• Work hands-on in the early days (code daily).
• Ship MVP features rapidly.
• Balance speed vs. scalability intelligently.
• Drive strong engineering execution discipline.

Build and Lead the Engineering Team:

• Hire high-quality engineers (backend, frontend, AI/ML, infra).
• Create a high-ownership engineering culture.
• Define coding standards, review processes, and quality benchmarks.
• Mentor and level up the team.

AI and Automation Focus:

• Build AI-driven workflows (LLMs, agents, prompt systems).
• Optimize inference cost vs. performance.
• Build internal tooling for experimentation and evaluation.
• Stay updated with the evolving AI ecosystem.

Work Closely with Founders:

• Translate product vision into technical roadmap.
• Participate in product thinking.
• Drive strategic technical decisions.
• Act as a long-term technology partner.

Requirements:

• 8-15+ years of engineering experience.
• Experience building and scaling products from 0 to 1
• Strong backend architecture experience (Node.js / Python preferred).
• Experience with cloud infrastructure (AWS/GCP/Azure).
• Deep understanding of system design and distributed systems.
• Prior experience leading engineering teams.
• High ownership mindset.
• Comfortable working in ambiguity.

Strong Plus:

• Experience building AI/LLM-based systems.
• Experience with marketing tech / ad-tech / mar-tech.
• Startup experience (Series A or earlier).
• Experience with real-time data systems.
• Experience building internal AI agents/automation frameworks.