Engineering Manager

Jobgether; Deutschland; Remote; EUR 110.000 - 170.000; Vollzeit

Benefits dieser Stelle

Equity eligibility

Home office budget €650

MacBook or Dell laptop

Remote-first across Europe

Offsites and team trips

Zusammenfassung

Jobgether is seeking an Engineering Manager based in Germany to lead software teams at the intersection of AI and logistics. You will own delivery, mentor engineers, and shape product roadmaps with cross-functional teams.

You’ll remain hands-on while growing people, expanding the team, and driving autonomous AI-agent workflows. Remote-first across Europe with visa support for Germany.

Qualifikationen

• Proven experience managing software engineers, including hiring and performance management.
• Strong backend engineering background with architectural instincts.
• Delivery track record of shipping meaningful features on defined timelines.
• Experience building and scaling teams, onboarding and senior hires.
• Genuine interest in AI-led software development and hands-on tooling.

Aufgaben

• Own engineering delivery and ensure high-quality software with clear commitments.
• Coach engineers through one-to-ones, career development, and performance reviews.
• Own hiring and onboarding for engineers, setting the bar for new hires.
• Partner with Product to shape roadmaps and manage scope.
• Lead AI-led development practices and optimize workflows with AI agents.

Kenntnisse

People leadership

Backend engineering

Python

Flask

Kubernetes

GCP

AI tooling

Remote collaboration

Tools

PostgreSQL

Redis

Celery

gRPC

Vue.js

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engineering Manager based in Germany.

This is an engineering leadership role at the intersection of software development, AI, and logistics technology. You’ll lead a team responsible for building products that modernize how global freight is priced, booked, and managed. The role combines people leadership, technical judgment, delivery ownership, and close partnership with Product. You’ll help engineers become more effective in an AI-led development environment where agents increasingly handle implementation while engineers own architecture, quality, and outcomes. As a player-coach, you’ll remain technically engaged while focusing primarily on growing people and improving team performance. You’ll also work directly with customers and help shape the next generation of AI-enabled engineering practices.

Accountabilities

• Own engineering delivery, ensuring teams ship high-quality software predictably while maintaining clear commitments, priorities, and standards.
• Lead, coach, and develop engineers through meaningful one-to-ones, career development, feedback, performance management, and thoughtful team practices.
• Own engineering hiring, including defining the hiring bar, conducting interviews, assessing candidates, and setting new hires up for success.
• Partner closely with Product as an equal contributor, shaping roadmaps, negotiating scope, challenging requirements when appropriate, and protecting teams from unnecessary delivery churn.
• Help the team increase its effectiveness with AI-led engineering by improving how engineers use AI agents, sharing successful practices, removing friction, and evolving development workflows.
• Contribute to the evolution toward more autonomous AI-agent workflows, helping establish appropriate guardrails, harnesses, review standards, and engineering practices.
• Stay technically involved for approximately one day per week through code reviews, architecture discussions, or selected engineering work.
• Engage directly with customers, including freight forwarders and airlines, to understand problems firsthand and bring engineers closer to real-world user needs.
• Improve team systems and processes by identifying delivery bottlenecks, strengthening workflows, and using data to drive operational improvements.
• Help establish consistent engineering practices across distributed teams while maintaining a high bar for technical quality and customer impact.

Requirements

• Proven experience managing software engineers, including hiring, coaching, performance management, team development, and predictable delivery.
• Strong backend engineering background with solid architecture instincts and sufficient technical depth to contribute credibly to engineering decisions.
• Demonstrated delivery experience, with a track record of shipping meaningful products or features against defined timelines and an ability to explain both successes and setbacks.
• Experience building and scaling teams, including assessing candidates for potential, closing senior hires, and creating effective onboarding experiences.
• Genuine interest in AI-led software development and willingness to use AI engineering tools directly rather than managing the practice from the outside.
• Strong systems thinking and the ability to diagnose organizational or delivery problems and improve the underlying process rather than simply increasing effort.
• Strong partnership skills with Product and the ability to jointly shape what should be built, why it matters, and when it should be delivered.
• Customer orientation and willingness to engage directly with users and bring engineering teams into those conversations.
• Excellent written and verbal English, with the ability to communicate clearly in a remote-first environment.
• Strong judgment, ownership, and comfort making decisions with incomplete information.
• Low-ego leadership style, openness to feedback, and willingness to change course when new information warrants it.
• Experience with Python 3, Flask, gRPC, PostgreSQL, Redis, Celery, Kubernetes, and GCP is a plus.
• Familiarity with Vue.js, distributed teams across multiple countries, or introducing new ways of working is advantageous.

Benefits

• Equity eligibility as part of the overall compensation package.
• Company-provided Claude Code and other AI tools required for the role.
• €650 one-time home office budget.
• Choice of MacBook or Dell laptop, provided before the start date.
• Access to coworking spaces through a dedicated partner network.
• 24 paid vacation days in addition to local public holidays and special leave.
• Two company-wide offsites each year, plus team trips.
• Permanent full-time employment.
• Remote-first working environment across approved European-time-zone hiring locations.
• Regular opportunities to meet colleagues in person, including company-wide gatherings twice a year.
• Visa support is currently available in Germany.
• Opportunity to work at the forefront of AI-enabled software engineering and help shape emerging development practices.