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Job Closed

Senior Platform Engineer ($180K–$220K + Equity) Innovative Self-Service Leasing AI

  • Source: LinkedIn
  • CoffeeSpace
  • On-site
  • New York City
  • Full-Time
  • Senior

Job Description

About the job

This role is being recruited by CoffeeSpace on behalf of an anonymous early-stage company pioneering AI-driven property leasing solutions.

We’re targeting talented platform engineers from our network who are ready to take ownership of a core product. If there’s a strong fit, we’ll introduce you directly to the team.

Location: New York, NY / hybrid work setup

Compensation: $180k–$220k base + competitive equity

Employment type: Full-time

Visa: Open only to U.S. Citizens and Green Card holders

About the company

The company is transforming the property leasing experience by integrating AI into self-service platforms that enhance convenience for both renters and property operators.

The founders have a solid background in real estate operations and are rapidly expanding their team to meet demand. The AI-powered self-leasing platform is live with 30,000+ units nationwide.

About the role

Join a dynamic team as the first dedicated platform engineer, shaping product architecture that powers critical applications for web and mobile.

Drive the evolution of their AI system, working directly with a product integral to the leasing experience.

What You’ll Do

  • Own the core platform API supporting web, admin, and mobile apps
  • Enhance the LLM-powered chatbot functionality for end-users
  • Boost CI/CD capabilities and system reliability
  • Collaborate closely on feature development and product evolution
  • Contribute across the stack, ensuring robust data models and third-party integrations

Why This Role Is Compelling

  • You’re joining a nimble startup at a pivotal stage
  • Every improvement rapidly enters production, directly impacting growth
  • Work on a product with genuine traction and broad impact
  • Involve yourself in a fun, tightly-knit team that values collaboration

The Ideal Candidate

  • 3+ years in building customer-facing products
  • Strong foundation in Python and experience with small, high-performance teams
  • Understanding of AI/LLM systems and PropTech is a plus
  • Comfortable with rapid iteration and owning systems end-to-end

Next steps

  1. Apply through this job listing
  2. We’ll review your application and contact you if there’s a match
  3. Successful candidates will be introduced to the team directly
  4. If not the right fit, we may recommend other roles in our network

A quick note on authenticity

This is a genuine role that CoffeeSpace is recruiting for in partnership with the hiring company. We focus on real positions that address actual needs.

Skills

  • Python
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This listing is a publicly available opportunity curated by Try Club to help talent discover relevant roles. Try Club is an independent platform and is not affiliated with CoffeeSpace

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