Software Engineer, Fullstack

Mixpanel•San Francisco, CA

9h•$188,000 - $254,000

About The Position

The Software Engineer will join Mixpanel’s newly formed Proactive Insights team, which is building an AI-powered layer that proactively informs users about important changes in their data and provides insights and recommendations. The team’s work includes AI-powered root cause analysis, KPI-monitoring automations, intelligent alerts, and anomaly detection. The role builds features across the full stack, from React frontend experiences to Python backend services and query-engine integrations. The engineer will collaborate with Product and Design to shape proactive analytics experiences and with the AI Engine team to use shared infrastructure for orchestration, evaluation, and observability. This is a high-impact position on a small, fast-moving team, with responsibility for helping define a new product category for Mixpanel.

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 and comfort working across frontend, backend, and data layers.
Excellent debugging and technical investigation skills.
Strong technical communication; experience collaborating in an asynchronous remote environment is ideal.
Ability to move quickly and iterate in ambiguous, greenfield problem spaces, take ownership, and focus on delivering user value.
A data-driven mindset and genuine curiosity about how people use analytics tools.
Desire to use AI to drive product improvement at thousands of companies.

Nice To Haves

Experience building with LLMs, AI agents, or tool-use frameworks.
React or TypeScript experience.
Django or Python experience.
Familiarity with analytics or observability platforms.
Interest in information retrieval, anomaly detection, or statistical analysis.

Responsibilities

Build AI-powered features end-to-end, including agent logic, query orchestration, frontend visualization, and delivery.
Design and implement experiences for surfacing automated insights, including dashboards, notifications, digests, and interactive analysis flows.
Collaborate with Product and Design to define proactive analytics 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 the team on-call rotation to improve systems and keep them healthy.