The Business Intelligence market is undergoing a revolution rooted in the idea that not everyone is going to be a data expert, but people should still be empowered to make decisions using data. We believe data storytelling is critical to addressing this problem and Narrative Science is at the cutting edge of this movement. To support this mission, the most successful engineers at Narrative Science balance drive, resilience, humility, and creativity.
The Software Engineer Technical Lead will be on our Depth team, one of our two application development teams at Narrative Science. This team is responsible for the components of our data storytelling product, Lexio, which focuses on taking user-provided data and writing a comprehensive story about it. We do this by determining what questions Lexio can answer based on the data, determining which answers are most relevant to the user, how the story should be structured with our NLG platform, and finally, how we want to present that story to our users in an interactive and intuitive way.
This front-end engineer will be responsible for designing new features, mentoring other engineers, and leading initiatives. Additionally, you can expect to work closely with our design and product teams to prioritize our roadmap, set the technical vision, and collaborate on the design. You’ll be primarily working on front-end projects but will have many opportunities to work on the back-end and mobile projects for iOS and Android.
As a Tech Lead, you will be focused on how we present our story and what content we choose to surface to the user within the story. You will have direct ownership over a large part of our codebase and will be working hand in hand with our product and development teams to improve the analysis and content in our stories. In this role, you will have a solid mix of greenfield projects and platform improvements, along with plenty of opportunities to prototype and build lasting features and enhancements.
- 4+ years of professional software development experience
- Experience with one or more Object Oriented or scripting languages
- Demonstrated ability to write clean, helpfully-commented and readable code
- Experience leading and driving initiatives with a team
- Enthusiasm to learn and contribute to our team in a meaningful way
- Strong motivation and the ability to collaborate with others
- Experience with Unix / Linux systems (e.g. Ubuntu, CentOS, RedHat, etc.)
- Familiarity with cloud computing, particularly AWS
About the Engineering Team @ Narrative Science
The Engineering team at Narrative Science specializes in delivering high-value cloud-based solutions to customers. Specifically, we are responsible for building and innovating on an insightful and personalized data storytelling platform. We work a lot with data pipelines, analytics, natural language generation (NLG), continuous deployment tooling, and cloud architecture.
Culture @ Narrative Science
Narrative Science believes that data storytelling can empower everyone to understand and take action from their data. Our mission is to build software that leverages artificial intelligence to automatically turn data into easy-to-understand reports, transforms statistics into stories, and converts numbers into knowledge.
Our core virtues (mission-driven, impactful, team first, innovative) are ingrained in everything we do, from how we develop our technology to how we interact with customers to how we hire people. Since 2020, we have embraced a remote-first approach and our team has the option to work from home or safely from our Chicago office. This flexibility will remain after COVID.
At Narrative Science, we embrace the diverse backgrounds, experiences, and perspectives of our future employees, colleagues, customers, partners, and other stakeholders. We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, genetic information, or any other characteristic protected by law.