Member of the Technical Staff - Product Engineer
Two Dots
| Company | Two Dots |
| Category | Engineering |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 175k–225k |
| Posted | 3 Jan 2025 |
| Last verified | 11 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
Company Mission / Why This Matters
Two Dots builds verification and risk infrastructure for housing to help solve the housing crisis.
Housing is too expensive because America created a single family mortgage machine to cut average people into home price inflation fueled by soft bans on new development. That worked for many decades, but when a small single family home costs several million dollars, it stops being an engine of opportunity and becomes a source of the very resentment modern mortgages were originally created to solve.
Housing supply has been restricted so much that people have started fabricating documentation or relying on bypasses and overrides to sign up for a payment they can’t really afford. That conceals the problem instead of solving it.
We believe that public and private policy has to change, and that involves breaking the system that conceals our affordability crisis and leaves people without the disposable income required to live satisfying lives, fueling resentment and political instability that turns problems at home into problems for the world.
About The Roles
We’re hiring a Product Engineer to help us build practical, customer-facing software quickly and well.
This is a role for future founders and people who have a deep sense of ownership over customer outcomes and creating tangible value quickly. It’s a hybrid product, engineering, and customer-facing role for career software engineers that think like a business operator. You’ll work closely with product, engineering, customer teams, and sometimes directly with customers to ship the software that makes Two Dots more useful, more reliable, and easier to adopt.
Examples of work might include converting manual onboarding steps to self-service, integrating with property management systems to generate revenue, or quickly solving urgent customer workflow issues, either from the office or on-site with the customer.
What You'll Do
- Integrate Two Dots with property management systems and other messy real-world APIs.
- Streamline customer acquisition with productized, self-serve workflows.
- Forward-deployed engineering work and special engagements with high-value customers.
- Fix urgent bugs and workflow issues quickly when customers are blocked.
- Communicate status, risks, tradeoffs, and decision points clearly to your manager and teammates.
- Work across product, customer success, sales, and operations to drive outcomes through teamwork.
What We're Looking For
- 2+ years of professional software engineering experience.
- Strong TypeScript and React skills.
- Comfort building polished, reliable workflows.
- Enough backend experience to design data models, APIs, and business logic.
- Experience working with external APIs, integrations, or operationally messy systems where reliability depends on the client, not the server.
- Strong communication skills and an even temperament under pressure.
- Good judgment about when to move fast and when to slow down.
- A practical, customer-oriented mindset.
- Ability to manage your own work as requirements change.
- Influence direction while remaining collaborative.
- Strong alignment with Two Dots’ mission and the customer outcomes we are trying to create.
The Team
Henson (CEO) started his career selling FX derivatives to hedge funds at Goldman, then worked at a real estate tech startup for several years leading sales. This enables him to engage with the largest institutional property managers and real estate investors in the country and create value through those relationships.
Max (CTO) started out as a software engineer at Blend, a mortgage application company that went public, and went on to work on the search team at Google. That combination of specific consumer fintech experience and knowledge of how sophisticated ML products succeed in production made big enterprise deals work from day 1.
We met in middle school and created a media website tog