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LELedgy

Engineering Manager: Feature Team(m/w/x)

Zürich
Full-timeWith Home OfficeExperienced
AI/ML

Leading engineering team for compensation and savings features on equity management platform. 2+ years management experience required. 25 days vacation, up to 40 days remote.

Requirements

  • 2+ years Engineering Management experience
  • 6+ years Software Engineer experience
  • Meaningful time in product-focused roles
  • Meaningful time in domain-heavy roles
  • Energised by features with direct end-user impact
  • Care about correctness in financial consequence domains
  • Comfortable with evolving scope
  • Actively use AI tools to multiply output
  • Excited to help team use AI tools
  • Love developing people
  • Creating environment for engineers' best work
  • Stay hands-on in codebase
  • Comfortable reviewing PRs with feedback
  • Comfortable shipping code yourself
  • Live Coding problem-solving session
  • System Design architecture contribution
  • Mock 1:1 coaching conversation

Tasks

  • Lead the engineering team building compensation and savings features
  • Set technical direction and run 1:1s with team members
  • Support engineers' growth and development
  • Promote effective use of AI tools in coding and workflows
  • Build clear and accessible product experiences for complex compensation structures
  • Develop relationships with direct reports and understand compensation domain
  • Review PRs and understand product compensation models
  • Collaborate with PD leadership and other EMs
  • Ensure team's delivery rhythm and unblock engineers
  • Identify and address complex or fragile areas in the domain
  • Establish regular coaching conversations with team members
  • Partner with PM and Design on expanding compensation coverage
  • Lead performance reviews and career development discussions
  • Be a trusted technical leader for compensation and savings features
  • Deliver measurable improvements to product quality and employee experience
  • Contribute to architecture and domain modeling discussions
  • Demonstrate people management skills through mock coaching conversations

Work Experience

  • 2 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • AI tools

Benefits

Flexible Working

  • Flexible working hours
  • Up to 40 days remote work
  • Hybrid work model

Additional Allowances

  • Professional development budget

Competitive Pay

  • Equity
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Ledgy and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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