Engineering Manager, AI/ML-Driven SaaS (Remote)

Jobgether; Portugal; Presencial; EUR 90 000 - 140 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Stock options

Remote work

Learning stipend

Global distributed team

Flexible time off

Asynchronous environment

No visa sponsorship

Resumo da oferta

Jobgether is seeking an Engineering Manager based in Portugal to lead the core platform engineering team for a global SaaS platform. You will own technical direction and delivery while modernizing systems and driving AI-enabled workflows with ~20–30% hands-on coding.

You will collaborate with Product and AI/ML partners to set multi-quarter strategy, architecture, and roadmaps, raise engineering standards, and ensure reliability and security across production environments.

Qualificações

• 5+ years of engineering management experience in agile, remote environments.
• Recent hands-on experience writing production code and designing, evolving, or maintaining production systems.
• Strong ability to contribute directly to a codebase, perform substantive code reviews, make architectural decisions, and unblock complex technical challenges.
• Hands-on experience building LLM-powered or agentic features in production, including orchestration, tool use, retrieval, or evaluation, or ability to lead teams into emerging technical domains.
• Strong technical affinity with TypeScript, Node.js, AWS, and React, with solid API design and development experience.
• Familiarity with GraphQL and Kafka is an advantage.
• Experience with observability and application performance monitoring tools such as New Relic, Datadog, or Sentry.
• Experience diagnosing and optimizing slow database transactions and improving application performance.
• Knowledge of application security best practices and experience integrating security considerations into the software development lifecycle.

Responsabilidades

• Lead and mentor a team of engineers, providing technical direction, coaching, and support while creating an environment of ownership and continuous improvement.
• Own the technical direction, architecture, and delivery roadmap for the core platform domains, working closely with Product and AI/ML stakeholders.
• Design and deliver agentic workflows that enable AI systems to plan, execute, and adapt testing activities with increasing autonomy.
• Remain hands-on, dedicating approximately 20–30% of your time to production code, critical code reviews, technical designs, and resolving complex engineering bottlenecks.
• Modernize legacy systems, consolidate fragmented data models, improve transactional integrity, and reduce accumulated technical debt without disrupting production.
• Establish effective engineering practices around planning, prioritization, design reviews, technical standards, and delivery quality.
• Own production support and escalations, leading triage, root-cause analysis, and permanent fixes while reducing recurring operational issues.
• Define and monitor service-level objectives, performance metrics, dashboards, and observability practices to improve reliability and system performance.
• Maintain strong engineering standards, including clear ownership, traceability, consistent Definition of Done practices, application security, and efficient cloud usage.
• Introduce AI‑assisted development practices into everyday engineering workflows and reduce knowledge silos through documentation, reviews, and collaboration.
• Partner cross‑functionally to translate business and product strategy into a sequenced technical roadmap and deliver outcomes from discovery through production.

Conhecimentos

Engineering leadership

Remote collaboration

English communication

Hands-on coding

AI/ML features

TypeScript

Node.js

AWS

React

GraphQL

Kafka

Observability tooling

Security best practices

SaaS

Ferramentas

AWS

TypeScript

Node.js

React

GraphQL

Kafka

New Relic

Datadog

Sentry

Descrição da oferta de emprego

Jobgether is seeking an Engineering Manager based in Portugal to lead the core platform engineering team for a global SaaS platform. You will own technical direction and delivery while modernizing systems and driving AI-enabled workflows with ~20–30% hands-on coding.

You will collaborate with Product and AI/ML partners to set multi-quarter strategy, architecture, and roadmaps, raise engineering standards, and ensure reliability and security across production environments.