Senior Engineering Manager, Booking & Availability

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DocplannerHealthcare technology
100% Remote within SpainFull-TimeManager
Salary not disclosed
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Job Details

Languages
Fluent English.
Experience
8+ years of software engineering experience; 4+ years leading engineering teams in product companies.
Required Skills
Stakeholder managementSoftware Engineering

Requirements

  • Have 8+ years of software engineering experience.
  • Have 4+ years leading engineering teams in product companies, including hiring, growth, and performance management.
  • Have driven platform or shared-component work across multiple teams or systems without controlling all priorities.
  • Have shipped systems where uptime and data integrity have real consequences, with technical depth to own architecture and quality decisions.
  • Demonstrate a track record of growing engineers and handling difficult performance situations.
  • Have hands-on experience using AI to speed up code writing, review, and refactoring, with judgment about when not to rely on it.
  • Have experience driving AI adoption across a team, including with skeptical or hesitant engineers.
  • Be able to manage dependencies and stakeholders across organizations with different incentives.
  • Be able to move quickly from ideas to experiments, validate with real users, and change direction based on evidence.
  • Be fluent in English.

Responsibilities

  • Lead the Booking & Availability engineering team and own team performance management, feedback, reviews, and calibrations.
  • Coach engineers, create growth plans and stretch opportunities, and develop senior engineers and tech leads.
  • Hire as the sub-area grows and shape a team that can make decisions independently.
  • Work with Product and Design to choose foundational investments, experiments, and when to pivot.
  • Own scheduling-engine reliability, including concurrent bookings, recurring rules, time zones, and incident response.
  • Contribute directly to the codebase by prototyping and implementing features and architectural changes.
  • Maintain AI-native development practices while keeping quality high and operational burden low.
  • Coordinate shared modules, modernization, and migrations with other PMS teams.
  • Track and communicate impact using concrete metrics.
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