Software Engineering Manager - Analytics

Submittable is a growing social impact platform used by thousands of companies, governments, and philanthropic organizations to manage their social impact programs and maximize their impact. We have helped big and small organizations worldwide run 134,000 programs and collect nearly 22 million applications to date.

Submittable is a social impact platform that makes it easy to launch, manage, and measure any impact program, from first application to final report. We’re looking for motivated, talented people who are excited about helping organizations achieve better outcomes and bigger impact!

We are looking for a Software Engineering Manager - Analytics to support our rapidly growing team in Missoula, MT or Seattle, WA. This role will manage and mentor a growing team of engineers working on new data product areas. You will lead not only at the strategic level, but also tactically by diving deeply into business and technical domains, working closely with internal stakeholders. This is a full-time individual contributor role and reports to the Director of Engineering.

What You’ll Be Doing:

Jump into our software and data, quickly coming up to speed
Lead a team of analytics engineers to deliver predictable engineering results
Develop your team members, grow the overall performance of your team, and contribute to the performance of your peers’ teams, department, and Submittable as a whole
Break down a large/complex problem, quickly derive an efficient design, document and implement the core framework, and hand off the simple components to staff
Work with a cross-functional team including product and other internal stakeholders in all phases of product and analytics development

You’ll Be Successful With:

8+ years of experience with software, data, and/or analytics engineering
2+ years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment
Proven track record in building high-performing teams; experience hiring and retaining engineers
Deep understanding of Agile software development, including scrum
Modern cloud native infrastructure and design principles
Extensive experience in 2 or more data subject areas (marketing sales, finance, product)
Ability to work with SQL, Snowflake, dbt, Python, Kafka, and Git
Experience working with business intelligence tools such as Tableau or Looker is a plus
Comfort working in a highly agile, intensely iterative environment

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