Founding Engineer - Deployment

Mason; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Mason is seeking an engineer to take a customer's operational problem and turn it into software used daily. This forward-deployed role works directly with customers, learns their data, and builds the agents, integrations, and applications that change how they operate.

You own work from the first conversation through production and ongoing improvement, sit with operators and IT, make architecture decisions, write code, and translate learnings into reusable tools and product improvements.

Qualifications

• Four+ years of software engineering experience shipping production systems.
• Strong backend or full-stack development skills.
• Ability to translate business problems into technical solutions.
• Comfort working directly with customers.
• Ability to define success, manage scope, and tradeoffs while staying accountable.

Responsibilities

• Turn customer problems into production-ready software.
• Own work from discovery to production and ongoing improvement.
• Collaborate with operators, IT, and executives.
• Build agents, integrations, and applications end-to-end.
• Create reusable tools and deployment patterns.
• Debug, monitor, and improve deployments using feedback.

Skills

Backend/Full-stack

Customer collaboration

System design

Ownership

Travel readiness

Tools

Python

TypeScript

Node.js

SQL

AWS

Docker

Kubernetes

dbt

LangGraph

Job description

Customer travel required

Mason - Accelerating development of the built world

Mason is on a mission to accelerate the development of the built world. We are tackling some of the most pressing challenges of our time - housing shortages, energy constraints, and decaying infrastructure - all of which are exacerbated by the slow pace of physical development.

This is one of the largest, least-modernized markets in the world. Trillions in spending, and much of the work still runs on spreadsheets, documents, and manual processes.

We create AI systems that transform some of the largest firms in the world.

A core part of this work is building the company brain: turning decades of fragmented documents, databases, emails, and operational knowledge into connected data and context that AI agents can actually use.

We're growing fast - we have an 8-figure pipeline of projects and are looking for great engineers to join our team.

Our founding team comprises a repeat founder who exited to a Fortune 500, a former tech lead at Meta Superintelligence who co-created Meta AI, and a development director who built $2B+ of projects.

The Role

You'll be the engineer who takes a customer's most important operational problem and turns it into software they use every day. This is a forward-deployed engineering role: you'll work directly with customers, learn their business, and build the agents, integrations, and applications that change how they operate.

You'll own the work from the first conversation through production and ongoing improvement. That means sitting with the people doing the work, understanding their data and constraints, making architecture decisions, writing code, and finding out whether the system actually delivers the result they need.

This is a hands-on, high-autonomy role. You won't be waiting for specs. You'll earn trust with operators, IT teams, and executives, decide what needs to be built, and build it end to end. You'll also turn what you learn into reusable tools and product improvements so every deployment makes Mason better.

What you'll build

• Production AI agents that own real estate and development workflows end to end

• Customer integrations, backend services, and data pipelines that connect Mason to the systems teams already use

• Customer-facing applications in Next.js and TypeScript that make complex workflows straightforward to use

• Agent logic, retrieval, tools, and human review controls designed around the customer's actual work

• Evaluation and regression checks that catch incorrect outputs, broken integrations, and workflow failures before rollout

• Production deployments that you debug, monitor, and improve using customer feedback and measured business outcomes

• Reusable components and deployment patterns developed alongside our Data and Infrastructure engineers

Tech stack and tools

Relevant experience includes:

• Languages and backend: Python, TypeScript, Node.js, SQL

• Data platforms and pipelines: PostgreSQL, Snowflake, Databricks, Amazon Redshift, dbt

• AI and agents: Anthropic and OpenAI APIs, Claude Agent SDK, Vercel AI SDK, LangGraph, MCP

• Retrieval and memory: pgvector, Cohere, Hindsight, RAG pipelines

• Workflows and compute: Inngest, Temporal, Blaxel, Modal

• Cloud and infrastructure: AWS, Docker, Kubernetes, Terraform

We value experience building production systems with these or comparable technologies.

What we're looking for

• At least four years of software engineering experience, with a track record shipping production systems used by real customers

• Strong backend or full-stack engineering skills: you can design, code, integrate, and debug an application end to end

• Good product intuition and taste, with the ability to turn an ambiguous business problem into a useful technical solution

• Comfort working directly with customers and communicating clearly with both technical and nontechnical stakeholders

• The judgment to define success, manage scope, and make tradeoffs while staying accountable for the outcome

• High ownership and high agency: you investigate the problem, make decisions, and keep moving when there isn't an established playbook

• Willingness to travel and work from customer offices, primarily in North America, with engagements expanding into Europe and Latin America

• Experience with forward-deployed engineering, enterprise product development, complex integrations, or production AI agents is a strong plus

Real estate or construction experience is helpful. Curiosity, technical depth, and the ability to learn how a customer's business works matter more.

Team and culture

• CEO is a second-time founder who sold his last company to Coinbase

• CTO was previously a tech lead at Meta Superintelligence and co-created Meta AI

• COO has led over $2B in real estate development

• Backed by investors, operators, and major development firms

• Working directly with teams managing billions in AUM

• Small, intense, low-ego team with substantial ownership from day one

• Regular board game nights, lots of laughs, no corporate nonsense

If you want to help redefine the built world - let's talk