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Lokalise

AI-powered localization platform for software

Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 3 years of recent experience as an Engineering Manager leading software engineering teams, ideally in SaaS product companies.
  • A strong software engineering background and current hands-on ability to review code and designs, investigate technical issues, and contribute to architecture decisions.
  • Experience hiring, onboarding, coaching, managing performance, and helping engineers grow into their next role.
  • Experience partnering with Product and Design on discovery, working directly with customers, and measuring success by customer and business outcomes.
  • Business acumen, including understanding commercial context, explaining trade-offs in terms of impact, and communicating with stakeholders at all levels.
  • Experience using engineering metrics and flow practices, such as DORA metrics, cycle time, or work-in-progress limits, to identify bottlenecks and improve delivery, quality, and team health without treating metrics as targets.
  • Hands-on experience using AI-assisted development and agentic tools in personal work and across a team, and understanding their effects on delivery speed, code quality, review practices, and cognitive load.
  • Experience planning and delivering complex initiatives across several teams predictably, including managing dependencies, risks, and incidents.

Responsibilities

  • Lead, coach, and develop Software Engineer teams, supporting career growth, conducting performance evaluations, contributing to compensation planning, and hiring engineers.
  • Stay technically close to the work by reviewing key designs and pull requests, pairing with engineers on difficult problems, and contributing outside the critical path through tooling, prototypes, or small fixes.
  • Partner with Product Managers and Designers to understand customers, participate in discovery, and focus teams on the right problems and outcomes.
  • Connect engineering decisions to business impact, understand how the domain contributes to customer value, retention, and revenue, and guide trade-offs involving scope, investment, and technical debt.
  • Own teams’ workflow from start to finish; monitor delivery and quality signals such as cycle time, deployment frequency, change failure rate, and recovery time; remove bottlenecks across planning, review, testing, and release; and keep cognitive load sustainable.
  • Lead teams’ adoption of AI-native engineering across the software development lifecycle by embedding AI tools and agentic workflows, measuring their effects on speed, quality, and engineers’ experience, and adapting practices to protect reliability and maintainability.
  • Drive operational excellence, own the health of team services, and act as Incident Commander when needed.
  • Own team delivery by setting quarterly plans, tracking progress against the product roadmap, and helping shape department-wide planning and strategy.

Desired Qualifications

  • Experience in the localization industry or with translation workflows.
  • Experience leading engineering teams at a product company during a scale-up phase.
  • Experience shipping AI-powered product features, such as features based on large language models, to customers.
  • Experience managing fully remote, distributed teams.
  • Familiarity with developer experience or productivity frameworks, such as SPACE or DevEx.

About the Company

Lokalise

AI-powered localization platform for software

Lokalise provides an AI-powered localization platform for software teams. It helps businesses translate and localize software UI, content, and customer support materials, with real-time chat translations and localized knowledge base articles. The product works as a cloud-based collaboration space where teams add and assign localization tasks, track progress, and streamline workflows, using features like translation memory, machine translation, quality assurance checks, and a wide range of integrations (GitHub, Bitbucket, GitLab, Azure Repos, Jira, and more) to fit into developers’ workflows. Unlike some competitors, Lokalise emphasizes team collaboration, workflow management, and seamless integration across platforms to embed localization directly into the development process. Its goal is to help brands enter new markets faster and at lower cost by delivering accurate translations in native languages through an end-to-end localization solution.

Company size
201-500
Company stage
Late Stage VC
Total funding
$117.7M
Headquarters
Dover, DE
Founded
2017

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