This is a role from one of our hiring partners.

What We’re Solving

15 million single-family homes are rented in the United States, 50% of which are professionally managed. Owners are promised freedom from the details, a quality vendor network for maintenance, and an available line for tenants. But they are met by unanswered calls, challenging tenants, and unreliable vendors.

Enter Mason. Mason is an infinitely patient, detail-oriented assistant to owners, partner to vendors, and resource for tenants. In a job where communication is 90% of the battle, Mason is a landlord's secret weapon.

Renters call or text Mason 24/7. Mason troubleshoots live, brings in the right help, while keeping owners in the loop. Give us a call at 415-605-0275 to hear Mason at work.

The Role

We are hiring an engineer to help us extend Mason past his roots in maintenance. To be successful, we need to handle the end-to-end journey of a property under management. And there is a sh*t-ton to be built.

You’re a fit if:

• You trust yourself to take a big swing - engineers push to prod and balance the tradeoffs of what might break. You’ll have the autonomy to decide your approach and standards of development. There is no bureaucracy in between you and your code being live.

• You sweat the details - small differences in context, prompts, and system design can cause wild variations in agent performance. If you enjoy the descent into database tables, integrations, and logs, you’ll do great.

• You want to know the end user - we are building for real people! Our customers could be anywhere and are real homeowners, tenants, and contractors. We love to show up and get to know them. We’ll drive to Sacramento, fly to Nevada, and do whatever it takes to get in front of our customers.

• You have a generalist skillset with a back-end bias - you have the toolkit to build across the full stack but are excited about problems that require orchestrating systems, managing pipelines, etc.
  

The Technical Challenge

• Multi-Step LLM Reliability - LLMs unlock the ability to handle an issue with complete autonomy. As we build long-running processes chaining dozens of LLM calls together, reliability starts to become a challenge.

• Integrations & Context Extraction - our customers live in their own bespoke systems. Property details, owner preferences, and vendor relationships are buried in text conversations, notes, and invoices. We will need to integrate with these systems, learn what we can, and provide continuity to our customers' operations as we take over progressively more work for them.

• Multi-party workflows - we need to orchestrate conversations amongst vendors, owners, tenants, in-person agents, and many other parties. These workflows are non-determined, complex, and extremely context-dependent.

Tech stack

TypeScript, Postgres, Serverless architecture, Vercel, Inngest, OpenTelemetry, OpenAI, AWS, Docker

Further Details on Requirements

Seniority

2 -​ 6 years of experience in professional software engineering,​ preferably in SaaS or platform products,​ with a track record of building backend-​first full-​stack systems from integrations and data modeling through production.​

Work experience

• Strong backend-leaning full-stack engineer who's worked on various sets of problems (systems integrations,​ data-heavy workflows,​ a little bit of frontend)

• Work at a VC early-stage startup (Seed-​Series D) or a company known for strong engineering talent (open to larger tech companies like Meta or Block)

• Experience at very operationally heavy startups and software that interacts with the real world (i.​e.​, Uber,​ Roofstock,​ Flatiron Health,​ Ashby,​ Procore)

• Interest in real estate or proptech

Education

CS degree or similar from a strong university

Hard skills

• Proficiency in TypeScript for full-stack development.​

• Hands-on PostgreSQL experience – helpful to have worked on migrations,​ query optimization,​ indexes,​ and operational best practices.​

• Experience integrating with third-party APIs and building ETL/data pipelines – pretty standard backend work, but would love to see someone who can go above and beyond this with additional skills.​

• Familiar with LLM integrations (OpenAI or similar)

• Familiar with observability tooling (OpenTelemetry/DataDog)