Were looking for a hands-on Engineering lead to lead our companys growing engineering team. This role combines technical leadership with people management: youll 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 companys Customer Intelligence & Decisioning Platform.
This role is a leadership hands on role: youll 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 company 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 companys 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.
This position is open to all candidates.