Engineering Manager - Platform
9.0/10
Coinbase
$218,025 – $256,500
Remote
senior
5 days ago
cryptodevfintechweb3GoKubernetesPostgres
AI Summary
The vacancy provides clear compensation details and aligns requirements with seniority, but lacks specific KPIs and detailed work processes.
Description
Join Coinbase as an Engineering Manager to lead the Ledger team, responsible for processing transactions and managing user funds.
This remote role offers a salary range of $218,025 to $256,500 annually.
At Coinbase, our mission is to increase economic freedom in the world.
We are building the emerging onchain platform and the future global financial system.
Our work culture is intense and not for everyone, but if you want to build the future alongside others who excel in their disciplines, there’s no better place to be.
## What you'll do
- •Build and manage engineering teams to guide the development of features, services, and infrastructure.
- •Coach direct reports to have a positive impact on the organization and support their career growth.
- •Implement the multi-year strategy for our team and collaborate with engineers, designers, product managers, and senior leadership.
- •Be a thoughtful technical voice within the team, aiding in architectural decisions and fostering a culture of high-quality code.
- •Collaborate with Product and Engineering teams to ensure successful delivery and operation of systems at scale.
- •Work closely with our talent organization to identify and recruit exceptional engineers.
- •Contribute to and take ownership of processes that drive engineering quality.
## Conditions
- •Remote work with in-person participation required throughout the year.
- •Team and company-wide offsites held multiple times annually.
- •Salary range: $218,025—$256,500 USD annually.
- •Total compensation may include equity, bonus eligibility, and benefits.
Requirements
- •At least 7 years of experience in software engineering.
- •At least 2 years of engineering management experience.
- •Strong understanding of high-quality code and effective engineering practices.
- •Execution-focused mindset, capable of navigating through ambiguity.
- •Experience in creating, delivering, and operating multi-tenanted, distributed systems at scale.
- •Ability to be hands-on when needed.
- •Demonstrates ability to responsibly use generative AI tools.
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