
// Open Role at Keywords Studios
Lead a dynamic engineering team at Helpshift, enhancing in-app customer support with chatbots, AI integration, and scalable solutions for a platform serving over 900M users monthly.
Helpshift is a SaaS platform that enables companies to provide a seamless customer support experience within the app! We are installed on over 2 billion devices and serve over 900 Million active users every month while enabling over ~7 Million conversations every month. You will work on projects that impact these conversations in order to bring maximum value to the consumer.
As an Engineering Manager you will get a chance to work with and manage a technically rigorous but fun team of engineers. Our engineers are product minded (https://blog.pragmaticengineer.com/the-product-minded-engineer/) and take deep care about shipping quality features and maintaining our systems. Please check out our Engineering Blog: Helpshift Engineering to get a sense of all the interesting work going on at Helpshift.
About the role:
Qualifications:
Nice to have:
Lead a team responsible for workflow enhancements like chatbots and auto-assignment systems, integrating AI features. Evaluate software solutions and system performance, supervising the software development team. Lead the team in ensuring the stability, scalability, and resiliency of the Helpshift platform. Manage the development, deployment, and integration of software solutions. Strive to improve performance, efficiency, and sustainability of the product. Mentor junior software developers. Plan and execute strategies for completing projects on time. Determine training and talent development needs. Hire team members and contractors. Bachelor's degree in software engineering, computer science, information systems, information technology, or similar. 5+ years of experience in software development. 3+ years experience in team management. Ability to mentor junior software developers and collaborate with all stakeholders. In-depth knowledge of at least one programming language such as Java, Clojure, Python or JavaScript. Production experience of systems using Elasticsearch, Kafka, Redis. Ability to keep up with software industry trends and innovation.