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LELedgy

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

Zürich
Full-timeWith Home OfficeExperienced
AI/ML

Leading engineering for compensation and savings features on a financial platform. 2+ years management experience required. Up to 40 days remote work, 25 days vacation.

Requirements

  • 2+ years Engineering Management
  • 6+ years Software Engineer
  • Meaningful time in product-focused roles
  • Meaningful time in domain-heavy roles
  • Energised by features with direct end-user impact
  • Care about correctness in high-consequence domains
  • Comfortable with evolving scope
  • Actively use AI tools
  • Excited to help team use AI tools
  • Love developing people
  • Create environment for engineers' best work
  • Stay hands-on
  • Comfortable diving into codebase
  • Comfortable reviewing PRs with feedback
  • Comfortable shipping code yourself
  • Live Coding session (60 min)
  • System Design session (60 min)
  • Mock 1:1 coaching session (45 min)

Tasks

  • Lead the engineering team building compensation and savings features
  • Set technical direction and run 1:1s with engineers
  • Promote effective use of AI tools in coding and workflows
  • Develop engineers' instincts for AI and human judgment
  • Build clear and accessible product experiences for complex compensation
  • Expand into new compensation types and build related models
  • Build relationships with direct reports and understand compensation domain
  • Review PRs and understand product compensation logic
  • Meet with PD leadership: CTO, Head of Engineering, Head of Product, and other EMs
  • Understand team domain's intersection with the platform
  • Own team's delivery rhythm: roadmap reviews, sprint health, and unblocking engineers
  • Address complex and fragile areas of the domain
  • Establish regular 1:1s and meaningful coaching conversations
  • Partner with PM and Design on expanding compensation coverage
  • Serve as technical leader for compensation and savings features
  • Deliver measurable improvements to product quality and employee experience
  • Lead performance reviews and career development conversations
  • Partner with product and engineering leadership on compensation strategy
  • Walk through a significant architecture contribution
  • Conduct a mock coaching conversation with an engineer

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 (2 days in office)

Learning & Development

  • Yearly learning & development budget
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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