Remote Growth Platform Engineering Manager

Crypto Pro Network

United States

On-site

USD 127,000 - 254,000

Full time

14 days+

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Job summary

Kraken is seeking an Engineering Manager for Growth Platform to lead a world-class engineering team responsible for growth‑critical systems and features. You will mentor engineers, define scope with product and design, and ensure reliable delivery across time zones.

You’ll stay hands-on in the codebase, build scalable backend solutions, and drive cross‑functional collaboration with product, design, and other engineering leaders, while leveraging AI tooling to boost productivity and outcomes.

Qualifications

  • Experience leading engineering teams in growth/platform environments.
  • Strong people leadership, coaching, and empowerment.
  • Solid backend technical foundation with architectural sense.
  • Excellent communication and cross-functional collaboration.

Responsibilities

  • Lead and mentor a cross-functional engineering team delivering growth-critical systems.
  • Collaborate daily with Product and Design to define scope and priorities.
  • Keep projects moving with clear expectations and transparent stakeholder updates.
  • Provide technical guidance for sound architectural decisions.
  • Foster accountability, trust, and learning within the team.
  • Improve cross-time-zone collaboration and processes across the org.
  • Partner with other engineering leaders to ensure consistency and best practices.
  • Leverage AI tooling daily to boost productivity and outcomes.
  • Stay hands-on in the codebase to maintain code quality.

Skills

Team leadership
Backend architecture
AI tooling
Communication
Distributed teams
Programming languages

Tools

AI tooling

Job description

Kraken is seeking an Engineering Manager for Growth Platform to lead a world-class engineering team responsible for growth‑critical systems and features. You will mentor engineers, define scope with product and design, and ensure reliable delivery across time zones.

You’ll stay hands-on in the codebase, build scalable backend solutions, and drive cross‑functional collaboration with product, design, and other engineering leaders, while leveraging AI tooling to boost productivity and outcomes.

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