Engineering Manager leading a technically rigorous team for Helpshift's SaaS platform. Focusing on workflow enhancements and integrating AI features in customer support systems.
Responsibilities
You will be leading the team responsible for workflow enhancements like chatbots and auto-assignment systems while integrating with AI features.
Evaluate software solutions and system performance, as well as supervising the software development team.
Lead the team in working towards 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 product.
Advocate on behalf of team members
Demonstrate patience and use effective explanations when mentoring junior software developers.
Plan and execute strategies for completing projects on time.
Determine the need for training and talent development.
Hire team members and contractors.
Display strong work ethics. Be a team player with a strong sense of ownership and collaboration.
Collaborate with other team leaders and departments.
Requirements
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, as well as to collaborate with all stakeholders.
Leadership, team building, and mentoring skills
Exceptional interpersonal and communication skills.
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.
Nice to have:
Have experience in managing 10+ engineers
Proficiency in documenting processes and monitoring performance metrics.
Knowledge of functional programming is a plus. (We use Clojure)
Experience in working with any one of MongoDB, Redis, Elasticsearch, Kafka or Postgresql at scale is good to have.
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