Engineering Manager

Apiary Talents (Headhunter & Outsourcing Service) is seeking an experienced Engineering Manager to join a technology startup developing Internet of Things (IoT)-based products for tracking operational vehicle assets in the Information Technology & Services industry (AgriTech & Logistics Products).

Key Responsibilities

• Lead, mentor, and develop an engineering team consisting of 2 engineers (full-stack and mobile), with plans for team growth, as well as manage an outsourced full-stack team.
• Define and maintain scalable technical architecture, design patterns, and code quality standards.
• Conduct regular code reviews and foster a culture of engineering excellence.
• Actively contribute to coding (hands-on), especially for critical and complex features.
• Manage technical debt and make strategic technical decisions aligned with business needs.
• Create and maintain technical documentation for the product.
• Collaborate closely with the Chief Product & Growth Officer on sprint planning, estimation, and backlog prioritization.
• Communicate technical progress, challenges, and trade-offs to C-level stakeholders in a clear and non-technical manner.
• Build and maintain CI/CD pipelines, DevOps practices, and efficient development infrastructure.
• Leverage AI tools, particularly Claude, within daily engineering workflows to improve team productivity.

Minimum Qualifications

• At least 8 years of experience as a software engineer, with a minimum of 3 years in a lead or managerial role.
• Strong experience in web and/or mobile development (full-stack experience is preferred).
• At least 1 year of hands-on experience using Claude (Anthropic) in daily work, including for code generation, debugging, code reviews, and documentation.
• Proven experience mentoring and developing small, junior teams, with the ability to guide patiently and effectively.
• Excellent communication skills, especially in explaining complex technical concepts to C-level stakeholders.
• Deep understanding of Agile Scrum methodology and experience applying it within small teams.
• Experience with version control (Git), CI/CD, and software engineering best practices.

Preferred Qualifications

• Experience working in a startup or early-stage company environment.
• Experience building an engineering team from scratch or at a very early stage.
• Ability to integrate AI/LLM tools into team development workflows.
• Experience with IoT, telemetry data, or real-time systems is a strong plus.