About the Role We're seeking an Engineering Manager for our Real-Time Data Systems team who codes. Not someone who used to write backend systems, but someone who still ships production code and maintains the technical depth to make sound architectural decisions about data pipelines at scale.You'll lead a team of 5-7 backend engineers (growing over time) responsible for ingesting, processing, and delivering real-time advertising data at massive scale. This includes building ML and LLM pipelines that power our AI-driven sustainability insights, maintaining high-throughput data systems, and ensuring our infrastructure scales reliably as we grow. Your team's work directly enables Scope3's ability to model the digital advertising supply chain and deliver real-time carbon emission measurements to our customers.Roughly half your time writing code—building features in data pipelines, optimizing performance bottlenecks, reviewing system architecture, addressing production issues. The other half on leadership: developing your engineers through 1-on-1s, hiring, sprint planning, collaborating cross-functionally, and making architectural decisions that keep systems scalable and maintainable. Responsibilities:<ul style=""><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Lead and mentor a team of 5-7 backend engineers, fostering their technical growth and career development</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Write production Go code regularly—you're a working member of the team, not just directing traffic</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Design and oversee architecture of real-time data pipelines processing billions of advertising events</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Build and maintain ML and LLM pipelines that power AI-driven sustainability analytics</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Make architectural decisions that balance performance, scalability, maintainability, and cost</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Drive initiatives to improve system reliability, observability, and operational excellence</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Collaborate with data science, product, and infrastructure teams to deliver customer value</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Manage hiring, onboarding, and team growth as we scale</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Own capacity planning and resource allocation for the team</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Establish best practices for code quality, testing, and system design in high-throughput environments</li></ul> Qualifications:<ul style=""><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">7+ years of backend engineering experience building and scaling large data systems</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">2+ years managing or leading engineering teams while maintaining hands-on technical contributions</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">You still code regularly and have no plans to stop—this role requires equal parts coding and leadership</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Strong proficiency in Golang with experience building production systems at scale</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Proven experience building ML and LLM pipelines in production environments</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Deep understanding of real-time data processing, stream processing, and event-driven architectures</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Track record designing systems that handle high throughput while maintaining reliability and low latency</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Experience with data pipeline orchestration, monitoring, and debugging at scale</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Strong focus on system maintainability, operational excellence, and technical debt management</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Experience with cloud infrastructure (GCP, AWS, or Azure) and modern deployment practices</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Excellent communication skills and ability to mentor engineers at different experience levels</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Comfort making architectural tradeoffs and explaining decisions clearly</li></ul> Nice to Have:<ul style=""><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Experience with Model Context Protocol (MCP) or Agent-to-Agent (A2A) communication</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Familiarity with advertising technology data and metrics</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Experience with Kubernetes, Terraform, and workflow orchestration systems (e.g., Temporal)</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Background in data engineering, distributed systems, or machine learning infrastructure</li></ul> Compensation:The salary range for this role is $170-180k USD, 165-175k CAD.The base salary offered to an applicant could be higher or lower based on each applicant's specific skill set, depth of experience, relevant education or training, etc Benefits &amp; Perks: Details vary by location (USA/Canada), but all employees receive:<ul style=""><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Health &amp; wellness: Comprehensive medical, dental, and vision coverage with significant employer contribution; short- and long-term disability coverage; health savings/flexible spending options</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Retirement: Employer-matched retirement savings plan (401(k) or RRSP)</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Time off: Generous paid time off, statutory holidays, and year-end office closure</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Parental leave: 13 weeks fully paid (eligibility requirements apply)</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Remote work: Company-provided home office equipment, setup stipend, and access to WeWork spaces</li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Equity: Stock options for eligible roles</li></ul> Our Culture &amp; Values<ul style=""><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Passion for the environment and climate work. We are a mission-driven company, and this is what motivates us to work hard and deliver outcomes for our customers. </li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Clear and empathetic communication, especially while working asynchronously. We have always been a global, remote-first company and we collaborate using Notion, Miro, Slack, Loom, and other tools. </li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">We celebrate healthy conflict in the workplace; we focus on the solutions and we move on quickly. </li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">The ability and accountability to deliver what we promise. We do what we say we will do, and we don’t make promises we can’t keep. </li><li style="font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;">Experience driving systemic change. Our mission is to make advertising and AI more effective for the economy and the environment, and this requires a holistic approach to re-imagining and inspiring an industry movement at a global scale. </li></ul> A Note To ApplicantsWe believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

<h2 class="MuiTypography-root MuiTypography-mh5 css-h8blxm">Reduction is as easy as removing&nbsp;Climate Risk</h2>
Interact with this chart to see how performance and emissions change on this example campaign.
Learn how to remove climate risk with Scope3&rsquo;s available solutions.

Manager, Engineering (Real-Time Data Systems)

About the Role We're seeking an Engineering Manager for our Real-Time Data Systems team who codes. Not someone who used to write backend systems, but someone who still ships production code and maintains the technical depth to make sound architectural decisions about data pipelines at scale.You'll lead a team of 5-7 backend engineers (growing over time) responsible for ingesting, processing, and delivering real-time advertising data at massive scale. This includes building ML and LLM pipelines that power our AI-driven sustainability insights, maintaining high-throughput data systems, and ensuring our infrastructure scales reliably as we grow. Your team's work directly enables Scope3's ability to model the digital advertising supply chain and deliver real-time carbon emission measurements to our customers.Roughly half your time writing code—building features in data pipelines, optimizing performance bottlenecks, reviewing system architecture, addressing production issues. The other half on leadership: developing your engineers through 1-on-1s, hiring, sprint planning, collaborating cross-functionally, and making architectural decisions that keep systems scalable and maintainable. Responsibilities:<ul><li>Lead and mentor a team of 5-7 backend engineers, fostering their technical growth and career development</li><li>Write production Go code regularly—you're a working member of the team, not just directing traffic</li><li>Design and oversee architecture of real-time data pipelines processing billions of advertising events</li><li>Build and maintain ML and LLM pipelines that power AI-driven sustainability analytics</li><li>Make architectural decisions that balance performance, scalability, maintainability, and cost</li><li>Drive initiatives to improve system reliability, observability, and operational excellence</li><li>Collaborate with data science, product, and infrastructure teams to deliver customer value</li><li>Manage hiring, onboarding, and team growth as we scale</li><li>Own capacity planning and resource allocation for the team</li><li>Establish best practices for code quality, testing, and system design in high-throughput environments</li></ul> Qualifications:<ul><li>7+ years of backend engineering experience building and scaling large data systems</li><li>2+ years managing or leading engineering teams while maintaining hands-on technical contributions</li><li>You still code regularly and have no plans to stop—this role requires equal parts coding and leadership</li><li>Strong proficiency in Golang with experience building production systems at scale</li><li>Proven experience building ML and LLM pipelines in production environments</li><li>Deep understanding of real-time data processing, stream processing, and event-driven architectures</li><li>Track record designing systems that handle high throughput while maintaining reliability and low latency</li><li>Experience with data pipeline orchestration, monitoring, and debugging at scale</li><li>Strong focus on system maintainability, operational excellence, and technical debt management</li><li>Experience with cloud infrastructure (GCP, AWS, or Azure) and modern deployment practices</li><li>Excellent communication skills and ability to mentor engineers at different experience levels</li><li>Comfort making architectural tradeoffs and explaining decisions clearly</li></ul> Nice to Have:<ul><li>Experience with Model Context Protocol (MCP) or Agent-to-Agent (A2A) communication</li><li>Familiarity with advertising technology data and metrics</li><li>Experience with Kubernetes, Terraform, and workflow orchestration systems (e.g., Temporal)</li><li>Background in data engineering, distributed systems, or machine learning infrastructure</li></ul> Compensation:The salary range for this role is&nbsp;$170-180k USD, 165-175k CAD.The base salary offered to an applicant could be higher or lower based on each applicant's specific skill set, depth of experience, relevant education or training, etc Benefits &amp; Perks: Details vary by location (USA/Canada), but all employees receive:<ul><li>Health &amp; wellness: Comprehensive medical, dental, and vision coverage with significant employer contribution; short- and long-term disability coverage; health savings/flexible spending options</li><li>Retirement: Employer-matched retirement savings plan (401(k) or RRSP)</li><li>Time off: Generous paid time off, statutory holidays, and year-end office closure</li><li>Parental leave: 13 weeks fully paid (eligibility requirements apply)</li><li>Remote work: Company-provided home office equipment, setup stipend, and access to WeWork spaces</li><li>Equity: Stock options for eligible roles</li></ul> Our Culture &amp; Values<ul><li>Passion for the environment and climate work. We are a mission-driven company, and this is what motivates us to work hard and deliver outcomes for our customers.&nbsp;</li><li>Clear and empathetic communication, especially while working asynchronously. We have always been a global, remote-first company and we collaborate using Notion, Miro, Slack, Loom, and other tools.&nbsp;</li><li>We celebrate healthy conflict in the workplace; we focus on the solutions and we move on quickly.&nbsp;</li><li>The ability and accountability to deliver what we promise. We do what we say we will do, and we don’t make promises we can’t keep.&nbsp;</li><li>Experience driving systemic change. Our mission is to make advertising and AI more effective for the economy and the environment, and this requires a holistic approach to re-imagining and inspiring an industry movement at a global scale.&nbsp;</li></ul> A Note To ApplicantsWe believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

Manager, Engineering (Real-Time Data Systems)

About the Job

About the Company

Scope3

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