Localize is seeking an energetic, growth-minded Engineering Manager to join their US-based remote team. In this role, you will oversee a team of software engineers, ensuring high-quality outcomes while driving delivery and maintaining engineering standards.
Responsibilities:
- Lead and manage a remote engineering team with a clear focus on performance, accountability, and delivery
- Set expectations for execution quality, timelines, and technical standards; hold teams accountable to outcomes
- Oversee the quality of engineering deliverables, including code, testing, debugging, and deployment
- Identify performance gaps, technical debt, and delivery risks early and take decisive action to resolve them
- Drive performance through clear expectations, direct feedback, and technical leadership
- Ensure projects are delivered on time and within scope in a distributed environment
- Implement pragmatic execution and project management approaches to mitigate risk and maintain momentum
- Continuously improve engineering efficiency by eliminating friction, unnecessary process, and bottlenecks
- Lead the design and implementation of scalable, maintainable software solutions; review code and contribute hands-on where necessary to unblock progress
- Operate with high alignment to leadership priorities, balancing speed, quality, and long-term system health
Requirements:
- Technical engineering leader with 3+ years of people management experience and 5+ years in software engineering
- Proven ability to lead remote engineering teams with strong execution discipline
- Track record of driving results, holding teams accountable, and navigating complex technical challenges
- Able to make and communicate difficult decisions that support delivery execution, product quality, and company objectives
- Strong ability to identify roadblocks quickly and take ownership of resolving them
- Experience setting clear goals, measuring progress, and driving continuous performance improvement
- Hands-on leader who can dive into architecture, code, and technical decision-making when required
- Experience hiring, evaluating, and building high-performing engineering teams
- Confident operating without ego and in close alignment with executive leadership
- Experience building and scaling SaaS applications or platforms
- Experience with these specific technologies is a plus, but not strictly required
- Frontend: TypeScript/JavaScript, React, Redux, Less
- Backend: JavaScript/TypeScript, Node.js, Express, Mongoose
- Datastores: MongoDB (Mongoose.js ODM), Redis, S3
- Infrastructure: AWS (Elastic Beanstalk, EC2, ElastiCache, CloudFlare, CloudFront, Route 53, etc.)
- DevOps / Misc: Git/GitHub, Jira, CircleCI, Mocha
- Hands-on experience integrating LLMs into production systems (OpenAI, Anthropic, Gemini, or similar)
- Strong understanding of prompt engineering, context engineering, and token management
- Experience designing or implementing RAG pipelines, embeddings, and vector search
- Familiarity with emerging LLM infrastructure patterns and protocols (e.g., MCP, tool/function calling, agents)