Engineering Manager (m/f/d)

present of AI; Berlin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Present of AI is seeking a people-focused engineering leader to guide a team building a voice documentation app used by care staff daily. You’ll stay close to code and architecture while steering delivery in a fast-growing startup.

You should have hands-on tech lead experience, a track record of hiring and coaching engineers, and strong expertise in system design and building with ML components and speech models.

Qualifications

• Experience leading an engineering team and shipping production software.
• Ability to hire, coach and provide honest feedback.
• Strong architecture, design and delivery focus in a fast-growing startup.

Responsibilities

• Lead a team of engineers building a voice documentation app.
• Hire and grow engineers, coach performance.
• Maintain code quality and architecture while delivering features.
• Collaborate with ML and product teams.

Skills

Tech lead

People management

Architecture design

Tools

ML tooling

Speech processing

Job description

This is a people leadership role for a team of engineers building a voice documentation app used daily by care staff. A strong candidate has shipped production software, ideally as a tech lead or senior engineer, and has since managed people by hiring, coaching and giving honest feedback. They stay close to the code and architecture while keeping delivery steady in a fast-growing startup.

How it fits the AI era

AI tools keep changing how engineers build, test and review code, so a manager here shapes how the team uses modern tooling and keeps quality high. The product itself depends on speech and language models, which means engineering works closely with the ML team. Judgment about people, priorities and trade-offs between speed and reliability stays human.

How it builds AI experience

The role sits next to a team that builds its own AI for turning spoken care notes into structured entries, so exposure to real production AI is part of the job. Working with ML, product and data colleagues shows how model output becomes a dependable app feature. Someone without this background can build it by learning how speech and language models are shipped, tested and monitored in practice.

Worth showing

• Hands-on tech lead background
• Hiring and growing engineers
• Architecture and system design
• Working with ML and Product

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

A voice app that turns what a nurse says out loud during care into structured documentation, so less of a shift is spent typing it up afterward.