Engineering Manager

About the role

We are looking for an Engineering Manager to lead and grow the cross-functional product engineering team responsible for one of LiveEO's core products. This team builds the software, data, and platform capabilities that transform satellite data into reliable, actionable intelligence for our customers. You will own the technical strategy, team health, and delivery execution across a diverse group of engineers - spanning data engineering, ML, geospatial and remote sensing, software, platform, backend, and frontend.

What you'll do

• Lead the definition and evolution of the technical roadmap and architectural standards for your product area. Ensure the team builds for scalability, reliability, and maintainability - while staying pragmatic about delivery pace.
• Directly manage a 10+ person engineering team across multiple disciplines (data, ML, geospatial, software, platform/backend, frontend). Conduct regular 1:1s, support career development and foster a culture of collaboration, feedback, and continuous improvement.
• Uphold engineering excellence across the team - code quality, testing practices, documentation, and architectural review.
• Champion a customer-value mindset across the team. Ensure engineering decisions are grounded in real user needs and that the product your team owns delivers measurable value to customers.
• Own and maintain the engineering team's responsibilities under LiveEO's SOC2 and ISO 27001 compliance programs.
• Work closely with Product Managers and the Designer embedded in your team to shape product direction, prioritisation, and the overall quality of what gets built and shipped.

What you'll need

• Proven track record managing and growing multi-disciplinary engineering teams, ideally in a startup or scale-up environment. Experience leading teams building customer-facing SaaS products is essential.
• Demonstrated ability to lead teams with a strong focus on customer outcomes.
• Solid understanding of geospatial data, remote sensing principles, or Earth observation workflows. Familiarity with satellite-derived data products and working with spatial data at scale is required.
• A strong software engineering background with the ability to make informed architectural and technical decisions. Experience across backend systems, data engineering, or ML infrastructure is a strong plus.
• Hands-on experience running agile teams using Scrum or Scrumban in a fast-paced environment.
• Ability to communicate clearly and confidently with C/VP-level leadership, non-technical stakeholders, and engineering peers alike.
• Experience conducting meaningful performance conversations, supporting career growth, and building inclusive, high-performing team cultures.

What they offer

• Flexible working hours and hybrid work model.
• Not an overtime culture - overtime offset with time off and rest.
• Potential to participate in the employee stock option program.
• Urban Sports membership, BVG subsidy, and corporate pension program.
• Office in central Berlin Kreuzberg with free fruit, nuts, and drinks.