Product Engineer (AI-Native Super-Cell)

Search Atlas

10h•Remote

About The Position

Search Atlas is moving beyond suggestions to full execution. In the era of agentic AI, the mechanical act of writing code has become a commodity. We are no longer hiring "ticket-takers"; we are hiring Product Engineers to join our Phase 2 Super-Cells. You will join a high-leverage, cross-functional pod (1 PM + 1 Designer + 2–3 Product Engineers) where one senior engineer using Claude Code and Parallel Git Worktrees matches the throughput of an entire legacy team. Our org chart now matches our product: autonomous, agentic, and focused on outcomes.

Requirements

Strategic Mindset: 6+ years of experience with Python 3 and Django REST Framework, with a "Product Engineer" archetype (Technical Excellence + Customer Context).
AI-Native Fluency: Proven ability to use Claude Code, Cursor, and agentic frameworks as a primary development interface.
Systems Thinking: Deep expertise in Next.js/React and PostgreSQL in high-concurrency production environments.
Technical Taste: The ability to distinguish between "correct syntax" and a "correct product solution".
High Agency: A self-starter who notices systemic friction and orchestrates a solution independently.

Responsibilities

Own the Outcome: Move beyond "code matching specs" to deliver complete, validated digital products that solve real user problems.
Direct Discovery: Participate in user interviews and monitor support channels to maintain a deep Customer Context.
Interrogate the "Why": Challenge feature requests to ensure they align with growth metrics and business strategy.
Parallel Orchestration: Use Claude Code and Cursor to manage multiple AI streams simultaneously across frontend features, backend migrations, and refactors via Git worktrees.
Define Intent: Establish the goals, guardrails, and project context that AI agents require to turn requirements into production-ready features.
Validate the Abstraction: Elevate your judgment above the syntax to review AI-generated code for strategic alignment and systemic architecture.
Platform Mastery: Maintain scalable Django REST applications, PostgreSQL schemas, and Next.js architectures.
Reliability & Scale: Oversee fault-tolerant Celery task processing and optimize server-side rendering/hydration.
Observability: Monitor AI-agent decision trees and system performance using Sentry, Datadog, and Grafana.