Manager, Engineering

Location. Bogota - Colombia

Reports to Director, Engineering

English: C1 (advanced) required.

Experience 8+ years in engineering or product management, including 2+ as a team lead or equivalent

Work model Bogotá-based, hybrid — 2–3 days per week in office; daily collaboration with US-based teams

Team at full staffing 10 engineers: 2 Principal, 2 Senior, 4 Software Engineer, 2 Associate

Description

Join the GRS Advanced Analytics & AI organization as a Manager, Engineering, leading a new Best Coding Squad pod in Bogotá at the forefront of generative AI and predictive analytics. In close partnership with GRS Data Science Solutions (DSS), our teams are dismantling legacy business workflows and replacing them with intelligent, AI-native solutions. This is not a maintenance role — it is an opportunity to build a team from nothing and lead highly visible transformation work.

You are the first hire on this team. You will help design its shape, hire the ten engineers who join it, and establish how it works with squads in the United States. Within your first year you will grow the pod from yourself to a full complement of Principal, Senior, mid-level, and Associate engineers, and land its first production deliveries in Reinvent Underwriting and Core Data Science products.

Job summary

You will lead a high-performing engineering squad designing and implementing production-grade generative AI and agentic workflow solutions. As a thought leader and hands-on manager, you will help shape how the organization adopts emerging agentic engineering techniques, influence technical direction at the leadership level, and cultivate a team culture of continuous learning and bold innovation.



You will partner deeply with DSS data scientists to ensure data-centric solutions are accurate, on time, and within budget.

Responsibilities:

Building the LATAM pod

- Co-own hiring for the pod: sourcing, interviewing, and selecting across Principal, Senior, mid-level, and Associate levels, working with HR International Americas and Talent Acquisition.
- Establish the pod’s ways of working: ceremonies, on‑call and incident practices, code review standards, and onboarding for engineers new to the domain.
- Set up the collaboration model with US-based squads and DSS counterparts across time zones, and make time-zone overlap work in practice.
- Partner with Liberty Seguros colleagues on the local operating needs of a growing technical team, including workspace and equipment readiness.

Thought leadership, technical direction and cross-functional collaboration

- Champion agentic engineering techniques across the team, driving adoption of frameworks such as Spec-Driven Development, TDD, Loops, etc.
- Evaluate and advocate for new GenAI technologies and patterns; lead their assessment, selection, and integration into the team’s engineering practices.
- Translate complex technical concepts into clear, compelling narratives for both technical and non-technical audiences.
- Work in close,



day-to-day collaboration with data scientists to align solution design, development, and production deployment strategies.
- Bridge the gap between data science experimentation and robust, scalable engineering delivery.
- Establish shared goals, KPIs, and ways of working with DS counterparts and Product Owners to ensure coherent end-to-end solution delivery.

Team leadership and delivery

- Lead, mentor, and grow a team of software engineers, providing technical coaching and career guidance.
- Monitor and drive team effectiveness; remove blockers, manage cross-team dependencies, and maintain a high-velocity delivery cadence.
- Manage performance, conduct reviews, and champion professional development including stretch assignments and rotations.
- Own delivery, quality, and burn for the pod.

Engineering excellence

- Uphold high standards for code quality, security, scalability, and architecture across all team deliverables.
- Advocate for the elimination of technical debt and responsible management of total cost of ownership.
- Champion agile practices and a culture of iterative improvement.

Skills and technologies

You will not be the deepest expert on every row, but you should be able to hold a credible technical conversation across all of them and be hands‑on in at least one.

Programming languages Python, TypeScript / Node.js

Frontend React

Data SQL and relational database concepts, Postgres / pgvector, Redshift

Pipelines Glue, Lambda, Step Functions, S3

Service architecture Microservices, REST APIs, JSON, Postman

CI/CD GitHub Actions preferred, or equivalent

📌 Manager, Engineering (Bogotá)
🏢 Liberty Specialty Markets Latam
📍 Bogotá