Engineering Manager, AI Discovery & Search – Hybrid

JobCloud SA | jobup.ch - jobs.ch; Porto; Hybrid; EUR 110,000 - 150,000; Full time

Benefits offered by this job

10 days fully paid sick leave per year

25 days annual vacation leave

Full private health coverage (employee

Gym allowance

Hybrid & flexible working

Learning & Development

Workation

Job summary

JobCloud HR Tech in Porto, Portugal, seeks an Engineering Manager (Search & AI Discovery) to lead a fast-moving team responsible for job discovery, search, recommendations and AI-assisted content visibility across our platforms.

You collaborate with Product, UX, Marketing and AI/data specialists to balance new features with reliability, security and cost, while coaching engineers and fostering a culture of trust, openness and continuous improvement.

Qualifications

• Experience leading an engineering team in a fast-paced, product-driven environment.
• Strong system design with cloud-native, distributed architectures.
• End-to-end delivery ownership from idea to delivery.
• Data-driven decision making with measurable results.
• Excellent English communication.

Responsibilities

• Own partner integrations from initial version to production feature.
• Lead a globally distributed engineering team; hire and coach.
• Partner with Product to balance features with reliability, security and cost.
• Create delivery plans with capacity, dependencies and risks.
• Ensure ownership, monitoring and tested recovery; run blameless postmortems.

Skills

Engineering leadership

System design

End-to-end delivery

Data-driven decisions

Communication

Tools

AWS

Python

TypeScript

Docker

AWS Lambda

ECS

Kafka

DynamoDB

MongoDB

Pulumi

Jenkins

Prometheus

Grafana

Bedrock

Copilot

Job description

JobCloud HR Tech in Porto, Portugal, seeks an Engineering Manager (Search & AI Discovery) to lead a fast-moving team responsible for job discovery, search, recommendations and AI-assisted content visibility across our platforms.

You collaborate with Product, UX, Marketing and AI/data specialists to balance new features with reliability, security and cost, while coaching engineers and fostering a culture of trust, openness and continuous improvement.