Senior Engineering Manager, Coding Agent Sandboxes (East Coast preferred)

Docker1 weeks ago

Location

Canada

Workplace

Remote

Type

Full Time

Salary

USD 197,650 – 318,250

Level

Senior

Role

Engineering Manager

Posted

May 8, 2026

Full TimeRemoteSenior

The role

Summary

Docker is seeking a Senior Engineering Manager to lead the sbx team in developing cutting-edge sandboxing solutions for AI agents. The ideal candidate will drive product development, manage a high-performing engineering team, and create secure, scalable environments for autonomous software development workflows.

What you'll do

Team Leadership: Lead and manage a high-performing engineering team responsible for developing the sbx sandboxing product

Product Strategy: Drive the product roadmap, ensuring alignment with customer needs and business goals

Customer Experience: Own the end-to-end customer experience from initial product run to enterprise-level deployment

Operational Excellence: Ensure predictable delivery and maintain high standards of engineering quality

Cross-Functional Collaboration: Facilitate communication across teams and provide critical project status reporting

Talent Development: Recruit, retain, and grow top engineering talent while supporting individual career growth

What we look for

Technical

Software DevelopmentMinimum 5+ years of professional software development experience

Enterprise TechnologyExperience with enterprise-grade software requirements including security, governance, and compliance

Education

Technical DegreeBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Team Management5+ years of experience managing high-performing engineering teams

Product DeliveryProven track record of shipping successful market-impacting products

Skills

Required skills

Team ManagementAbility to lead, mentor, and grow senior individual contributors

Product StrategyStrong instinct for product market fit and customer-centric design

CommunicationExcellent verbal and written communication skills

Nice to have

AI InfrastructureExperience with AI agent environments and sandboxing technologies

Remote CollaborationProven ability to work effectively in distributed, remote-first environments

Compensation & benefits

Salary

USD 197,650 – 318,250 (annual)

Stock options

Available

Benefits

Remote Work

Fully remote-first culture with flexibility to work from anywhere

Parental Leave

16 weeks of paid parental leave after 6 months of employment

Technology Stipend

$100 monthly technology allowance for home office setup

Training Budget

Stipend for conferences, courses, and professional development

Equity

Stock options to share in the company's growth and success

Time Off

Generous PTO plan and quarterly 'Whaleness Days'

Interview process

1
Initial Screening — Phone or video call with recruiting team to discuss background and role fit
2
Technical Interview — In-depth discussion of technical experience, leadership approach, and product strategy
3
Team Interview — Meet with potential team members and cross-functional stakeholders
4
Leadership Interview — Final interview with senior leadership to assess strategic alignment