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Scope3

Engineering Manager (Classification and Signals)

Posted 2 Days Ago
Be an Early Applicant
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
The Engineering Manager oversees two engineering teams, ensuring the delivery of high-quality products, mentoring engineers, and driving innovation and efficiency while collaborating with product stakeholders.
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About Scope3


Scope3 is the industry’s leading collaborative sustainability platform. By modeling the complex digital advertising supply chain, we help brands measure and dramatically reduce digital waste to reduce carbon emissions from advertising and increase the efficacy of advertising investment. This is an exceptional opportunity to build a company alongside great people and make a difference in one of the most important issues facing the planet: the climate crisis.


We’re a venture backed company of 100+ folks distributed across the globe. We are fortunate to be led by an experienced leadership team, many of whom designed and engineered the digital advertising landscape as we know it today. The company secured $20M in Series B funding led by GV in Oct 2023 (additional investors include Venrock, Rucker Park, Room40 Ventures, and Craft Ventures), and we are thrilled to be the recipient of an additional round of $25M in Oct 2024. Scope3 has significant market traction with more than 150+ customers and is experiencing accelerated growth.


Scope3 is a fully remote company and largely asynchronous to provide flexible working hours and to operate globally, with concentrations in New York and Europe. At this time, we are hiring in Canada, Australia, UK, France, Germany, and the United States.

Role Overview

We are excited for you to consider joining Scope3 as an engineering manager! This Engineering Manager will be responsible for overseeing one of our core product engineering functions, with two pods of approximately 8 engineers. This role requires an experienced leader who is comfortable growing and managing more than one team/pod. You will use their technical, project and people management skills to lead the team to consistently deliver quality solutions.

Key Responsibilities
  • Ensure delivery of high quality products across our Signals and Classification products.
  • Lead and mentor two teams of engineers, fostering their growth and effectiveness while upholding an inclusive culture of collaboration and kindness
  • Define and track key engineering metrics and KPIs to measure team performance and product quality
  • Collaborate closely with the product stakeholders to ensure solutions are technically feasible and can be delivered in suitable timeframes
  • Partner with senior engineers to guide the architecture and design of our technical systems, ensuring scalability, reliability, and security
  • Manage resource allocation, budgeting, and capacity planning within your team
  • Foster a startup culture of experimentation, continuous improvement, and technical excellence, driving innovation and adaptability
  • Execute on hiring and onboarding, while retaining top engineering talent
Qualifications
  • 7+ years of engineering experience, with at least 2 years in management roles supervising multiple independent teams
  • Has personally architected, built and operated systems that have operated at scale, and thus able to lead by example in architectural decisions and technical implementation
  • Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
  • Experience developing SaaS products with product-led growth mindset
  • Proven track record of managing, mentoring and promoting engineers
  • Deep understanding of software development methodologies and best practices
  • Strong analytical and problem-solving skills
Bonus

Preference will be given to candidates who bring some of the following; none of these are required:

  • Experience managing data pipelines (e.g., Kafka/SQS/PubSub, Apache Beam/Airflow/Temporal) that process large streams of data
  • Experience with web crawling systems
  • Experience with Golang
  • Experience building ML and LLM pipelines
  • Personal and team examples of using LLM tools to increase productivity

Top Skills

Airflow
Apache Beam
Go
Kafka
Pubsub
Sqs
Temporal

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