# Two Dots Expands Engineering and Sales Teams for AI Underwriting

**Author:** Zero G Talent
**Published:** 2026-11-03
**Category:** sales-marketing
**Tags:** yc-hiring, fintech, real estate, machine learning, software engineering, sales

[Read on Zero G Talent](https://zerogtalent.com/blog/two-dots-expands-engineering-and-sales-teams-for-ai-underwriting)

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[Two Dots](https://zerogtalent.com/ai-companies/two-dots), a San Francisco-based fintech startup building AI fraud prevention and underwriting agents, is expanding its technical and go-to-market teams. Founded in 2022 out of Y Combinator's S22 batch, the 18-person company focuses on automated underwriting and fraud detection, starting in the real estate lending sector.

The company is currently hiring across machine learning, backend engineering, product development, and sales, offering salaries up to $400,000 for senior technical roles.

## Automated Underwriting and Fraud Prevention

[Two Dots](https://zerogtalent.com/ai-companies/two-dots) builds AI agents that process loan applications, analyze financial documents, and flag fraud for lenders. The platform is designed to automate manual verification workflows and speed up lending operations in real estate.

On the technical side, the company notes a core engineering preference: "We use spaces, not tabs." [Two Dots](https://zerogtalent.com/ai-companies/two-dots) is backed by seed investor Next47.

## Team and Leadership

[Two Dots](https://zerogtalent.com/ai-companies/two-dots) was founded by [Henson Orser](https://zerogtalent.com/people/henson-orser). The founding team includes "Goldman, Google, and Blend alum" with experience across financial services and technology companies.

## Open Roles in Engineering and Sales

[Two Dots](https://zerogtalent.com/ai-companies/two-dots) has six open onsite roles in San Francisco.

On the engineering team, the company is recruiting a [Member of the Technical Staff - Machine Learning](https://zerogtalent.com/ai-jobs/two-dots/machine-learning-engineer-76937) with a compensation range of $350,000 to $400,000 per year. Other software engineering positions include a [Backend Engineer - Document Processing and Workflows](https://zerogtalent.com/ai-jobs/two-dots/backend-engineer-document-processing-and-workflows-95427), a [Chatbot Engineer](https://zerogtalent.com/ai-jobs/two-dots/chatbot-engineer-95426), and a [Product Engineer](https://zerogtalent.com/ai-jobs/two-dots/software-engineer-76935).

To expand enterprise client distribution, [Two Dots](https://zerogtalent.com/ai-companies/two-dots) is hiring an [Account Executive](https://zerogtalent.com/ai-jobs/two-dots/account-executive-104067) paying between $275,000 and $300,000 per year, alongside a [Sales Development Representative](https://zerogtalent.com/ai-jobs/two-dots/sales-development-representative-76936).

| Role | Location | Work Mode | Salary |
| --- | --- | --- | --- |
| [Account Executive](https://zerogtalent.com/ai-jobs/two-dots/account-executive-104067) | San Francisco, CA, US | Onsite | $275,000 – $300,000 |
| [Backend Engineer - Document Processing and Workflows](https://zerogtalent.com/ai-jobs/two-dots/backend-engineer-document-processing-and-workflows-95427) | San Francisco, CA, US | Onsite | $175,000 – $250,000 |
| [Chatbot Engineer](https://zerogtalent.com/ai-jobs/two-dots/chatbot-engineer-95426) | San Francisco, CA, US | Onsite | $175,000 – $275,000 |
| [Product Engineer](https://zerogtalent.com/ai-jobs/two-dots/software-engineer-76935) | San Francisco HQ | Onsite | $175,000 – $225,000 |
| [Member of the Technical Staff - Machine Learning](https://zerogtalent.com/ai-jobs/two-dots/machine-learning-engineer-76937) | San Francisco HQ | Onsite | $350,000 – $400,000 |
| [Sales Development Representative](https://zerogtalent.com/ai-jobs/two-dots/sales-development-representative-76936) | San Francisco HQ | Onsite | $85,000 – $125,000 |

[See all open roles at Two Dots](https://zerogtalent.com/ai-companies/two-dots)

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*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*