Staff Software Engineer - AI Marketing

What You'll Do
Drive large-scale technical initiatives. You'll take complex, cross-functional projects from concept through production, aligning architecture decisions with business goals and shipping outcomes that matter.

Ship AI-native product experiences. Working closely with product, design, and AI teams, you'll deliver intelligent features that leverage LLMs, agent frameworks, and real-time data to transform how real estate professionals run their businesses.

Lead system design in an AI-native codebase. You'll own the architecture of critical platform capabilities, from our AI-powered site builder pipeline to our multi-tenant infrastructure serving thousands of real estate businesses. You'll set patterns that other engineers follow.

Define how we build, not just what we build. You'll shape our engineering standards, review practices, and developer tooling. You'll have a direct hand in evolving how AI agents integrate into our development workflow.

Mentor and elevate engineers across the org. Staff Engineers at LP are force multipliers. You'll raise the technical bar across teams, coach engineers through hard design problems, and influence career growth.

What We're Looking ForAttributes
You already build with AI daily. You use Claude Code as a core part of your workflow, not as a novelty

You have strong opinions, loosely held, about how AI changes software architecture, team structure, and engineering culture

You think in systems. You connect technical decisions to customer outcomes and long-term business value

You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders

You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real

You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together

Skills and Experience
8+ years of professional software engineering experience, with meaningful time in senior or staff-level roles

Deep expertise in TypeScript, Node.js, and React

Experience designing and operating scalable microservice architectures in cloud-native environments (AWS preferred)

Strong understanding of GraphQL, event-driven systems (Kafka, SQS), and distributed databases (PostgreSQL, DynamoDB, Elasticsearch)

Proven track record leading high-impact initiatives from concept through production in a SaaS environment

Expert-level grasp of software design principles and experience with multi-tenant platform architectures

Tech Stack
Frontend: React, Tailwind, Apollo

Backend: Node/TypeScript Microservices

Data: Postgres, Redis, Elasticsearch

Infrastructure: AWS, Kubernetes, Lambda, Temporal

Messaging: Kafka, SQS

Skills Required
8+ years of professional software engineering experience
Meaningful time in senior or staff-level engineering roles
Deep expertise in TypeScript
Deep expertise in Node.js
Deep expertise in React
Experience designing and operating scalable microservice architectures in cloud-native environments
AWS experience
Strong understanding of GraphQL
Strong understanding of event-driven systems (Kafka, SQS)
Strong understanding of distributed databases (PostgreSQL, DynamoDB, Elasticsearch)
Proven track record leading initiatives from concept through production in a SaaS environment
Expert-level grasp of software design principles and multi-tenant platform architectures
Regularly build with AI and use Claude Code (Anthropic) as core workflow
Experience with Kubernetes, AWS Lambda, and Temporal
Experience with Redis
Familiarity with frontend tooling (Tailwind) and Apollo