Software Engineering Team Lead

MavenAI is a profitable company building advanced operating systems for the multifamily real estate industry. They are seeking a visionary Software Engineering Lead to architect and execute the integration of market data insights with generative workflows, leading a cross-functional team to deliver high-quality products.

Responsibilities:

• Lead the Product Build: Build and manage a cross-functional engineering team responsible for connecting ApartmentIQ's rich market intelligence directly into Maven's generative content workflows
• Modern Development Practices: Champion the use of AI-assisted tooling — from Claude Code to automated testing agents — to maintain high standards of quality and velocity
• Automated Quality: Implement and refine automated code review pipelines that handle style nits, security checks, and pattern matching, ensuring human review time is spent on architecture and logic
• Architect the Solution: Design end-to-end flows where real-time market data (Postgres/PostGIS) triggers specific actions (Social Posting/Availability Updates) via our AI models
• Coach & Cultivate: Conduct regular 1:1s, fostering a culture of psychological safety, technical rigor, and "don't repeat yourself" automation
• Full Stack Ownership: Guide the evolution of our unified interface (React + Tailwind) and the API layer (Rails 7) that powers it
• Operational Excellence: Partner with Data Science to ensure data freshness and accuracy — renters rely on this data being correct, so our pipelines must be robust
• Manage the Process: Collaborate with Product on roadmap planning in Linear, ensuring we are breaking down complex integration problems into shippable wins

Requirements:

• 7+ years of experience shipping data-intensive B2B SaaS, with 2+ years in a Lead or Manager role
• Rails & React Expertise: Deep experience with Ruby on Rails, Sidekiq, and modern React/Tailwind frontends. You know how to build systems that scale
• AI-Curious & Tool-Savvy: You see AI-assisted development as a natural evolution of how great software gets built. You have experience (or a genuine enthusiasm) for workflows where AI handles testing and first-pass code reviews
• Data Fluency: Proficiency with data storage patterns and an understanding of data ingestion workflows
• Bridge Builder: You have a track record of connecting disparate systems (e.g., merging APIs, unifying auth systems, or integrating data pipelines)
• Pragmatic Agility: You are comfortable writing specs in Linear one hour and debugging a background job the next. You value shipping working code over theoretical perfection
• High EQ: You are a collaborative leader who can bridge the gap between technical engineering and product vision