Engineering Manager, Data

Engineering Manager, Data

This job is no longer open

Muck Rack’s engineering team powers a platform that is meaningfully changing how journalists, PR pros, and marketers  around the world work. We’re looking for a hands-on Engineering Manager to lead one of our engineering teams and make a big impact on our people, our culture, and our product. As an Engineering Manager, your mission will be to build, lead and motivate a team of dedicated software engineers responsible for building our platform. You’ll be a great fit for this position if you are excited about leveraging your technical expertise to help those on your team grow and succeed in their roles. 

What you’ll do:

  • Own the development of the existing engineering team, including their product delivery and their personal development
  • Manage the development, deployment, and improvement of highly accurate, well understood, well measured models
  • Contribute to furthering data and delivery architectures across our various data platforms
  • Act as a cross-functional driver for the organization, consolidating priorities across stakeholders, communicating back timelines and plans to resolve open items. Take ownership of priorities from stakeholders and other groups.
  • Demonstrate ownership and initiative by identifying new opportunities for Muck Rack to pursue, and working to influence their direction.
  • Be responsible for fostering an inclusive, engaging environment for existing teammates where they can perform their best work.
  • Hire, onboard, and train new team members, growing them to be strong contributors on the engineering team

If the details below describe you, you could be a great fit for this role:

  • 5+ years of experience in data science or engineering, with demonstrated experience delivering high quality models and actionable insights
  • 2+ years of experience managing an engineering team in a start-up / Software-as-a-Service environment
  • Fluency in SQL, and at least one of Python, R, or relevant scripting language
  • Familiarity with deploying and scaling large data models
  • A focus on NLP or predictive analytics
  • Excellent written and verbal communication skills

Interview Overview

  • A 30 min interview with a member of our Talent Team
  • A 1 hour video interview with the hiring manager
  • Final interview with several team members, including a code discussion

Salary

The starting salary for this role is between $179,000-$200,000 depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. For all other countries, we have competitive pay bands based on market standards.

Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.

 

This job is no longer open
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