Engineering Manager
New
L
LokaliseLocalization software
You must reside and have the legal right to work in one of the following countries: the United Kingdom, Latvia, or Spain.Full-TimeManager
Salary not disclosed
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Job Details
- Experience
- 3+ years of recent experience as an Engineering Manager leading software engineering teams
- Required Skills
- People ManagementSoftware Engineering
Requirements
- Have 3+ years of recent experience as an Engineering Manager leading software engineering teams.
- Bring a strong software engineering background and remain hands-on, including the ability to review code and designs, investigate technical issues, and contribute to architecture decisions.
- Have proven experience hiring, onboarding, coaching, and performance-managing engineers and helping them grow.
- Have a product engineering mindset and experience partnering with Product and Design on discovery, working directly with customers, and measuring customer and business outcomes.
- Understand commercial context, explain trade-offs in terms of impact, and communicate with stakeholders at all levels.
- Have experience using engineering metrics and flow practices, such as DORA metrics, cycle time, or WIP limits, to improve delivery, quality, and team health.
- Have hands-on experience with AI-assisted development and agentic tools in your own work and across a team.
- Have experience planning and delivering complex initiatives across several teams, including managing dependencies, risks, and incidents.
Responsibilities
- Lead, coach, and develop Software Engineers; support career growth, performance evaluations, compensation planning, and hiring.
- Review key designs and pull requests, pair with engineers on difficult problems, and contribute to tooling, prototypes, or small fixes.
- Partner with Product Managers and Designers on customer discovery and prioritization of customer and business outcomes.
- Connect engineering decisions to customer value, retention, and revenue when making trade-offs about scope, investment, and technical debt.
- Track delivery and quality signals, remove bottlenecks across planning, review, testing, and release, and sustain manageable cognitive load.
- Embed AI tools and agentic workflows across the software development lifecycle and evaluate their effects on speed, quality, and engineers’ work.
- Drive reliability and quality practices, own service health, and act as Incident Commander when needed.
- Set quarterly plans, track progress against the product roadmap, and contribute to department-wide planning and strategy.
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