Engineering Lead

About the Role

We're looking for a
hands-on Engineering lead

to lead Kahoona's growing engineering team. This role combines technical leadership with people management: you'll lead a team of engineers both inhouse and offshore, and work closely with the CTO and VP Product leading the company through a transformational phase of significant growth, to deliver a reliable, scalable, and cost-efficient Kahoona's Customer Intelligence & Decisioning Platform.

This role is a leadership hands on role: you'll get your hands dirty writing code, review and design, and at the same time act as a leader who set standards, processes, coach engineers, and ensure smooth collaboration across the entire team. 

Key Responsibilities

Team Leadership & Growth

• Manage and mentor the Kahoona engineering team.
• Create a culture of ownership, collaboration, and accountability. Maintain high standards of work methodologies and delivery.
• Establish effective communication and delivery rhythms across our  cross functional teams

Hands-On Technical Leadership

• Lead & contribute to design, coding, and reviews of the platform, backend , data and MLE functions.
• Guide architectural decisions, ensuring scalability, reliability, and cost efficiency, while supporting significant customer growth.
• Ensure high-quality engineering standards, CI/CD practices, and observability.

Own Production End-to-End: Delivery & Execution

• Own engineering delivery timelines and release cadence.
• Coordinate between core and offshore engineers to ensure a unified execution pipeline.
• Balance short-term feature delivery with long-term technical health.
• Define SLO, build observability,  lead on-call, incident response, and postmortems

Collaboration

• Work closely with the CTO and VP Product  on architecture, integrations, and security.
• Work with the CEO to ensure that delivery is aligned with the company's mid-long term vision.
• Partner with Product on roadmap prioritization and execution.
• Ensure smooth onboarding and ongoing collaboration with customer-facing teams.

Requirements

• ⁠Have 6+ years of software engineering experience, and experience managing a team.
• A mix of Management with Hands-on role: lead and mentor in-house + offshore engineers, keep coding/reviewing, and set the bar on architecture, reliability, and delivery.
• Worked in cloud-based Big Data environments, Orchestrated and designed data pipelines, and has some experience in holding a robust Machine Learning (AI) stack, including MLOps.
• Own production end-to-end: CI/CD, observability, on-call, incident response/postmortems - while balancing fast features with long-term technical health and cost.
• Partner closely with the CTO and Product on roadmap, integrations, and security; high autonomy and impact.
• What helps:
• Strong backend (Python/Scala), AWS, and ML-in-prod (registries/monitoring/rollback); track record of high-scale systems; data platforms/personalization a plus.
• Basic know how in FE (TS/React)

Preferred Skills

• Experience in
  , Data Platforms, Personalization, Marketing Intelligence Solutions or decisioning systems

.
- Background in
ML model productionization

(registries, monitoring, rollback).
- Familiarity with
privacy-by-design

and compliance-driven delivery.

Why Join Us

• It's all about the people
• If you're looking to make a REAL impact and it's not just a slogan - this is your place. You have the opportunity to make a profound and significant impact, build and scale the engineering function in a fast-growing startup.
• Grow your career with the company - Hands-on impact with a clear growth path.
• Join a growing, innovating  team which shapes both the product and the company's engineering culture.
• Set the bar in a growing new category: Work in a category defining company that is disrupting a multi-billion dollar business ecosystem, and with the major players in this market.
• Own real impact.

Your work will decide what millions of people see - in real time - and will be translated into REAL business impact. Today and especially as the market evolve into the Agentic AI Era.