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Sales Data Engineering Manager

Roles & Responsibilities

  • Bachelor's degree or higher in a quantitative field (e.g., Computer Science, Math, Economics, Statistics)
  • 10+ years of experience in Data Engineering, including 3+ years in people management
  • Expertise with data engineering stack (dbt, Snowflake, Airflow, data observability tools, AWS, PySpark) and strong SQL and Python
  • Excellent planning, roadmapping, and cross-functional communication skills

Requirements:

  • Build data roadmap for the sales data engineering team building both internal and external data products
  • Drive innovation in our sales data products with the application of AI in both the processes we work on to the products we deliver
  • Build teams to scale out our maturing set of analytics products
  • Be deeply technical and continue to code and drive technical standards within the team

Job description

Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

 

About the Role: 

As a Sales Data Engineering Manager you will be part of the core data team building out world class sales data products that will drive Motive Sales.  You will be working on the intersection of all data streams in the company and support our reps globally.  You will partner closely with both the Sales, Product, & Marketing teams. We are seeking strong team players who thrive on innovation and continuous improvement. We pride ourselves on our culture, and ability to work effectively across a highly diversified team. 

Responsibilities:

Build data roadmap for the sales data engineering team building both internal and external data products. 

Drive innovation in our sales data products with the application of AI in both the processes we work on to the products we deliver.

Build teams to scale out our maturing set of analytics products.

Be deeply technical and continue to code and drive technical standards within the team.

Architect and design data models in collaboration with data and product teams.

Communicate effectively and drive strategy across multiple teams and projects.

Qualifications:

  • Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
  • Knowledge of Sales Cycles and B2B Sales
  • 10+ years experience in Data Engineering, and 3+ years managing a team
  • Expertise with data engineering stack, dBt, Snowflake, airflow, data observability tools, AWS, pyspark.
  • Expertise in SQL and Python
  • Great planning and roadmapping skills
  • Excellent communication, collaboration, and people skills

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. 

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. 

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