• Own end-to-end UI and product features in Horizon — from user problem to information architecture to shipped, polished experience. You define what "done" looks like. • Set the bar for how users interact with Horizon — the web app experience, the flows, and how complex governance concepts are made legible. • Bring deep front-end craft — TypeScript, React, and the underlying web technologies — and the judgment to *direct* AI development tools rather than depend on them. • Be a thought partner to the team — collaborate closely so product and UX direction is a shared conversation, not a solo burden. • Translate enterprise signal into product — partner with GTM and customers to turn the "enterprise-legible" story (gateway plugins, PII filtering, audit logs, SCIM) into experiences buyers immediately understand. • Write maintainable, performant full-stack code — your center of gravity is the product surface, and you're capable across the stack when the feature demands it. • Develop deep product knowledge of the MCP ecosystem and AI/LLM tooling space. • Participate in on-call / incident response and help maintain production reliability standards.

• Build data and backend features in our stack (TypeScript + Go, Postgres) — from idea to live on Cloud Run • Orchestrate LLM agents (Claude Code / Codex) to deliver faster — you review them, get them running and take responsibility for the outcome • Improve embeddings-based product matching (pgvector + Gemini) and solve edge cases • Automatically capture competitive and market data and make it actionable • Build knowledge pipelines: data from diverse sources → structured → searchable → autonomous data processing • Own a domain, deliver independently, and provide a short daily report

• Design and build LLM-powered systems • Collaborate closely with other engineers and teams • Contribute to a strong engineering culture around applied AI rigor • Suggest and drive new initiatives within the roadmap

• You will lead frontend architecture and product execution on Portal, while contributing across the stack where needed (Python services, data pipelines, APIs). • You will have the freedom to suggest and drive new initiatives — including how Portal evolves as the unified data home base at Instacart. • You are expected to mentor other team members and be a champion of engineering excellence, particularly around frontend craft, performance, and UX quality. • You will work closely with other teams (Data Science, ML, Product Eng, Infra) to understand their main pain points around data and translate them into self-serve and reliable solutions.