Engineering Manager

We are looking for a hands-on Engineering Manager to own client engagements end to end, from the first sales call to production release and handover. You own the full result: people, scope, quality, budget and margin. You will lead a delivery pod of 4–8 engineers, stay close to the code, and be the client’s main technical contact.

You report to the Head of Engineering and help us grow.

Responsibilities

• Own each project from first client contact to handover: join sales calls, give a solution and estimate within 48 hours of a brief, run phased delivery with client sign-off, release to production, then close the project with a handover and a retrospective with the client;
• Act as the client’s main technical contact and translate technical decisions into business value;
• Own the project money: track budget vs scope delivered, keep the target margin, manage change requests and technical debt, and report honest status to the client and management;
• Grow the account: find follow-up work and extensions together with Sales;
• Own architecture and technical decisions; stay hands-on with code reviews, commits and PoCs;
• Own the people on your project: staffing, onboarding, 1:1s, goals, mentoring, performance reviews, hiring and probation decisions;
• Build a resilient pod with a deputy and a backup for every role;
• Set how the team uses AI and ensure client data is handled safely.

Requirements

• 7+ years in software development, including 2+ years leading a team;
• Client-facing delivery experience in an outsourcing company, with T&M and fixed-price projects;
• Hands-on expertise in at least one of Python, Node.js/TypeScript, .NET or Java;
• Strong architecture and system design skills;
• Experience with AWS, GCP or Azure and CI/CD;
• 2+ years using AI development tools (Claude Code, Cursor, Codex or similar) daily, including agentic workflows and MCP;
• Experience setting team-level AI practices and reviewing AI-generated code;
• Commercial ownership: estimating under uncertainty, managing project budget, margin and burn;
• Upper-Intermediate or higher English level;
• Based abroad and available for occasional in-person client meetings internationally.

We offer

• AI-first engineering culture with clear guidelines for safe, effective AI usage in production;
• Competitive compensation based on your skills, experience, and performance;
• Certification exam costs covered on a successful pass (cloud and AI certifications prioritized);
• 20 working days of annual paid vacation and 5 days of sick leave;
• 3 additional days off for special occasions;
• Experienced colleagues with 95% of middle and senior engineers;
• Possibility to work from anywhere in the world;
• Exciting projects involving the newest technologies;
• Accounting as a service;
• Flexible working approach.