Abode Money
Abode Money is the first-ever AI financial home manager, using AI to save homeowners on property taxes, insurance, mortgage and more. Homeowners spend $2T+ per year on their home. Not only is it difficult to buy a home today, but it’s become just as challenging to continue owning your home. We’re going to be the first to create a relationship with 80M+ homeowners in the US by saving them money year after year.
We’ve raised $23M from Permanent Capital, Drive Capital, Sequoia, Core VC and The 81 Collection.
We’re looking for a Software Engineer who is highly autonomous, reliable, cool under pressure and deeply capable - the person people trust with the hard problems. You’ll own major product and system areas end-to-end, from architecture to production reliability. You’ll work closely with the founders to build the infrastructure that powers Abode Money.
This is a high-autonomy role for those that do their best work when given space, responsibility, and trust.
Own and Build Core Systems: Build systems across property tax, insurance, mortgage optimization, and more.
Design for Scale: Design, implement, and maintain workflows and services that must be resilient and scalable.
Structure the Messy: Break down messy real-world constraints into well-structured engineering solutions.
Balance Speed and Quality: Move with both speed and quality, knowing when each matters most and how to balance the two.
Make Smart Tradeoffs: Make tradeoffs when perfection isn't possible, choosing between speed, reliability, and effort.
Collaborate Cross-Functionally: Work with product, design, and operations to turn pain points into delightful user experiences.
You are the engineer people go to when something really matters.
You take pride in your work - even small things (“How you do anything is how you do everything.”)
You are steady under pressure and bring structure to uncertainty.
You deliver consistently, with a blend of reliability, speed, and clear judgment.
You value autonomy and ownership, and you use both responsibly.
You assess trade-offs realistically, making difficult calls with maturity and context.
You are genuinely excited about AI - you actively use AI tools and dig into new workflows.
You are low-ego and high-responsibility. Your work - not your volume - builds your reputation.
You collaborate clearly and respectfully, raising the bar for the team around you.
You’re in Austin or willing to relocate. We're in person 4 days a week.
2+ years of engineering experience in high-ownership environments.
Experience owning systems end-to-end (architecture → implementation → production).
Strong foundation in backend or full-stack development with modern languages and cloud infrastructure. Exact stack experience is flexible; strong engineers ramp quickly.
Ability to ship production features independently with high reliability.
A genuine enthusiasm for using and mastering modern AI tools and workflows.
The biggest thing we pride ourselves on is autonomy. You can’t move fast through committee decision-making, so we hire people who want to own workstreams outright.
Take ownership. This is yours. We build everything through single-threaded autonomy. One person owns the outcome, makes the calls, and sees it through. We believe in “asking for forgiveness, not permission” so you can make unencumbered decisions.
Move fast. Decide. Ship. Learn. Repeat. Speed is our edge. Perfection is the enemy of momentum. We will forever move faster than our competition.
Be resourceful. Find ways to do more with less. Constraints don’t slow us down. They make us inventive. There’s always a way through, and the people who own their work find it. “That’s not my job” isn’t a sentence anyone here finishes.
Think big and challenge convention. Dare to do things differently. You don’t change the world with incrementally better solutions. The systems we’re fixing are broken because everyone accepted them. We question the default, build the better answer, and refuse to blend in.
Measure everything. Data is the tiebreaker. We turn instincts into evidence, hunches into experiments, and opinions into numbers. If we can measure it, we can beat it.
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