Builds end-to-end AI-powered proactive insights features for analytics platform, including agent logic, frontend visualizations, and integrations. Requires 2-5+ years full-stack experience with strong debugging skills and collaboration in remote environments.
226k – 306k/yr
Hybrid2+ YOEFullstack Engineering
About the role
Responsibilities
Build AI-powered features end-to-end, from agent logic and query orchestration to frontend visualization and delivery
Design and implement user experiences for surfacing automated insights: dashboards, notifications, digests, and interactive analysis flows
Collaborate with Product and Design to define what proactive analytics looks like and how users interact with AI-generated insights
Partner with the AI Engine team to integrate shared tooling for agent orchestration, evaluation, and observability
Instrument tracking and build dashboards to measure feature adoption and the quality of AI-generated insights
Participate in team on-call rotation to improve our systems and keep them healthy
Requirements
Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience
2 to 5+ years of professional software engineering experience
Strong full-stack fundamentals: comfortable working across frontend, backend, and data layers
Excellent debugging and technical investigation skills
Strong technical communication, ideally with experience collaborating in an asynchronous remote environment
Ability to move fast and iterate in ambiguous, greenfield problem spaces: take ownership and focus on delivering value to users
A data-driven mindset and genuine curiosity about how people use analytics tools
A desire to be on the forefront of leveraging AI to drive product improvement
Nice-to-Haves
Experience building with LLMs, AI agents, or tool-use frameworks
React / TypeScript experience
Django / Python experience
Familiarity with analytics or observability platforms
Interest in information retrieval, anomaly detection, or statistical analysis
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