Super.com

Analytics Engineer

• Data-Driven Culture: You will be an ambassador for our data-driven culture, taking data and shaping it to facilitate analysis, insight generation, and decision-making
• Data Management: You will ingest, clean and organize raw data in a way that makes sense for both you and the team
• Project Management: You will lead data projects from ingestion to reporting, showing your experience to oversee, scope, and work with ambiguity, making uncertainty certain
• Collaborative Actualization: You will liaise between Business, Engineering, and Data to translate business requirements into proper data capture and schema design
• Data Strategy: You will help shape the data model at Super, which will advance our broader analytics strategy and build trust within the organization
• Teamwork: You will work with key stakeholders to understand existing processes and collaborate to design and implement improved and automated processes

Senior Analytics Engineer

Platform Engineer

• Build and maintain our internal developer platforms: self-serve infrastructure, paved paths, and AI-first automation. Automation code to be authored primarily in Python and JS/TS.
• Maintain and extend our cloud infrastructure: Particularly Kubernetes (EKS), AWS, Postgres, Redis, Kafka, and Elasticsearch. Leverage tools like Terraform and Crossplane to keep our infrastructure declarative.
• Support other engineers as a go-to technical expert, and bake tribal knowledge into tooling and docs so the platform, not a single person, is the source of truth.
• Contribute as a technical mentor: Directly mentor interns. Level up other engineers through Lunch & Learns, guilds, documentation, and general knowledge-sharing.
• Contribute strategically during objective setting, retrospectives, and cross-team discussions, and help shape the infrastructure roadmap.
• Help maintain the availability, reliability, and security of our production infrastructure by participating in our on-call rotation, including monitoring, incident response, and resolving issues outside of standard business hours.

Senior Software Engineer, Platform

Customer Support

• Design, build, and continuously optimize AI chatbot playbooks and conversational flows in our Decagon AI platform
• Monitor and analyze Chatbot performance (CSAT, resolution rates, deflection), identifying opportunities to improve resolution and customer experience.
• Collaborate with cross-functional teams to refine conversational design and ensure a smooth customer journey.
• Build clear documentation and escalation paths for when AI self-service cannot fully resolve a customer issue.
• Analyze bot feedback and performance trends to identify key drivers of satisfaction and friction.
• Translate feedback into actionable recommendations for AI product, operations, and support.

Senior Analytics Engineer

Senior Software Engineer, Platform

Senior AI Conversation Designer