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Scope3 · 1 day ago

Manager, Engineering (Real-Time Data Systems)

United States

Full-time

Remote

Senior Level

$170K/yr - $180K/yr

7+ years exp

Scope3 is the industry’s leading collaborative sustainability platform focused on reducing digital waste and carbon emissions from advertising. The Engineering Manager will lead a team responsible for developing and maintaining real-time data systems, including building machine learning pipelines and ensuring system scalability and reliability.

GreenTechMedia and EntertainmentSoftwareSupply Chain Management

Responsibilities

Lead and mentor a team of 5-7 backend engineers, fostering their technical growth and career development

Write production Go code regularly—you're a working member of the team, not just directing traffic

Design and oversee architecture of real-time data pipelines processing billions of advertising events

Build and maintain ML and LLM pipelines that power AI-driven sustainability analytics

Make architectural decisions that balance performance, scalability, maintainability, and cost

Drive initiatives to improve system reliability, observability, and operational excellence

Collaborate with data science, product, and infrastructure teams to deliver customer value

Manage hiring, onboarding, and team growth as we scale

Own capacity planning and resource allocation for the team

Establish best practices for code quality, testing, and system design in high-throughput environments

Qualification

GolangMLLLM pipelinesReal-time data processingCloud infrastructureBackend engineeringData pipeline orchestrationSystem maintainabilityLeadershipCommunication skills

Required

7+ years of backend engineering experience building and scaling large data systems

2+ years managing or leading engineering teams while maintaining hands-on technical contributions

You still code regularly and have no plans to stop—this role requires equal parts coding and leadership

Strong proficiency in Golang with experience building production systems at scale

Proven experience building ML and LLM pipelines in production environments

Deep understanding of real-time data processing, stream processing, and event-driven architectures

Track record designing systems that handle high throughput while maintaining reliability and low latency

Experience with data pipeline orchestration, monitoring, and debugging at scale

Strong focus on system maintainability, operational excellence, and technical debt management

Experience with cloud infrastructure (GCP, AWS, or Azure) and modern deployment practices

Excellent communication skills and ability to mentor engineers at different experience levels

Comfort making architectural tradeoffs and explaining decisions clearly

Preferred

Experience with Model Context Protocol (MCP) or Agent-to-Agent (A2A) communication

Familiarity with advertising technology data and metrics

Experience with Kubernetes, Terraform, and workflow orchestration systems (e.g., Temporal)

Background in data engineering, distributed systems, or machine learning infrastructure

Benefits

Comprehensive medical, dental, and vision coverage with significant employer contribution; short- and long-term disability coverage; health savings/flexible spending options

Employer-matched retirement savings plan (401(k) or RRSP)

Generous paid time off, statutory holidays, and year-end office closure

13 weeks fully paid (eligibility requirements apply)

Company-provided home office equipment, setup stipend, and access to WeWork spaces

Stock options for eligible roles