Senior Engineering Manager - AI Platform

Docker, Inc United State
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Lead a geographically distributed team of engineers to develop and operate Docker's Agent Platform, addressing enterprise adoption of AI at scale. Drive operational excellence, good technical decisions, and growth of senior individual contributors. Thrive in a fast-paced, customer-first environment and passionate about leading high-performing engineering teams.

Key Highlights
Lead a distributed team of engineers
Develop and operate Docker's Agent Platform
Drive operational excellence and good technical decisions
Technical Skills Required
Cloud architecture Scalability Reliability Observability Agile Remote engineering teams AI/ML systems Docker
Benefits & Perks
Freedom & flexibility
Designated quarterly Whaleness Days
Home office setup
16 weeks of paid Parental leave
Technology stipend
PTO plan
Training stipend
Equity
Medical benefits
Retirement and holidays vary by country

Job Description


At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride!

As a Senior Engineering Manager you will oversee development of Docker's Agent Platform to address how enterprises adopt AI at scale. We're working on infrastructure that spans the full lifecycle—enabling developers to build and test AI agents with their choice of frameworks and models, providing secure pathways from local development to cloud deployment, and giving organizations centralized control over which LLMs, agents, and tools their teams can access while maintaining comprehensive audit trails.

A successful candidate has a deep technical background that they leverage to drive the team to operational excellence and good technical decisions. They are skilled at growing and managing very senior individual contributors. AI experience is a strong plus, as you dive deep into diverse problem spaces—AI frameworks, security models, emerging protocols like MCP and A2A, and distributed computing patterns. If you thrive in a fast-paced, customer-first environment and are passionate about leading and growing high-performing engineering teams, this role is for you.

Responsibilities

  • Lead a geographically distributed team of engineers across Europe and North America
  • Build and operate highly scalable, reliable, and performant services
  • Align the team with business and product goals by working closely with product management and engineering leadership
  • Take active ownership of your team members’ development, growth, and performance
  • Ensure predictable delivery and operational excellence of the components the team ships.
  • Facilitate communication across teams and status reporting for critical projects.
  • Hire and retain talent
  • Hold a high bar for engineering excellence.

Qualifications

  • Proven experience managing engineering teams building and operating large-scale SaaS or platform services
  • Deep familiarity with cloud architecture, scalability, reliability, and observability best practices
  • Experience leading agile, remote engineering teams
  • Comfortable with a high degree of autonomy (self-motivated, organized)
  • Obsession with enabling engineers to do great work and delivering value to customers
  • Experience or strong interest in AI/ML systems preferred
  • Strong verbal and written communication skills.

What To Expect

First 30 days:

  • Understand the group mission.
  • Meet the teams along with peers across the group and company.
  • Start line managing reports and building a rapport.
  • High-level understanding of the existing Docker functionality.
  • Participate in status reporting.
  • Understanding of the Docker personas and how they apply to the team.

First 90 Days

  • Work with the teams to align on goals and measures of success.
  • Start career discussions with reports.
  • Work with the teams to improve their processes.
  • Attend a customer call.
  • Oversee the delivery of a change or feature.
  • Started hiring for the team

One-year outlook

  • Been involved in driving the long term direction of the teams.
  • Have had a sustained, positive impact on reports.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024.

Please see the independent bias audit report covering our use of Covey here.

Perks

  • Freedom & flexibility; fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup; we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity; we are a growing start-up and want all employees to have a share in the success of the company
  • Docker Swag
  • Medical benefits, retirement and holidays vary by country
  • Remote-first culture, with offices in Seattle and Paris

Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.

Due to the remote nature of this role, we are unable to provide visa sponsorship.

Compensation Range: $226.6K - $318.5K


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