About the job

Responsibilities

Own internal AI systems that improve operational speed across Product, go-to-market, and general and administrative functions.
Define and document operating practices for AI-native companies.
Build and maintain internal tools and workflows using Lovable, AI agents, no-code platforms, and custom code.
Connect, enrich, transform, and operationalize data across company systems to power automations, internal tools, AI agents, decision-making, and proactive workflows.
Configure and deploy AI agents, including Claude and ChatGPT with Model Context Protocol integrations, for employees.
Maximize AI capabilities in tools such as Slack, Linear, Notion, and Ashby.
Enable employees to become effective AI users and document scalable best practices.
Own systems end-to-end, including development, maintenance, and continuous improvement.

Requirements

Experience shipping production workflow automations used by teams and capable of running reliably without constant intervention.
Strong understanding of APIs, databases, software architecture, and code review.
Ability to select appropriate tools, including AI coding agents, no-code platforms, and custom code.
Experience designing data models, writing complex SQL, and building data enrichment and transformation pipelines.
Experience deploying internal AI tools, AI agents, custom contexts, and Model Context Protocol integrations.
High agency, strong ownership, and a demonstrated ability to identify bottlenecks and deliver solutions.