
Software Engineer ($230k-$250k + Equity) at Valon Technologies, Inc.
Jack & Jill · United States
- Hybrid
- Full-time
- $240,000 / year
- United States
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Subject: Interested in the Software Engineer ($230k-$250k + Equity) at Valon Technologies, Inc. role at Jack & Jill
Hi Dana — I came across the Software Engineer ($230k-$250k + Equity) at Valon Technologies, Inc. opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Jack & Jill stood out because…
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Job highlights
- Build AI-native fintech operating system.
- Rebuild financial infrastructure from ground up.
- Manage $110B+ in loans with AI.
- Encode federal regulations into systems.
- Join elite engineering team.
About the role
About Valon Technologies, Inc.
Valon Technologies, Inc. is an a16z-backed Series C fintech company building an AI-native operating system for regulated finance.
Job Description
Join an elite engineering team from Stripe and Jane Street to rebuild financial infrastructure from the ground up. You will develop an AI-native platform managing $110B+ in loans, transforming complex mortgage servicing into a high-margin software business. This role offers the unique challenge of encoding intricate federal regulations into scalable, autonomous systems.
Why This Role Is Remarkable
- Work at a Series C powerhouse backed by a16z that has already achieved 60%+ margins in a traditionally 0% margin industry.
- Join a high-caliber culture featuring veterans from Google, Meta, and Stripe, where engineers enjoy significant autonomy and a high-trust environment.
- Opportunity to build the foundational AI-native OS for the entire mortgage industry, with a vision to expand across all regulated finance sectors.
What You Will Do
- Design and build robust infrastructure using Python, React, and Kubernetes to handle billions of dollars at scale while ensuring regulatory compliance.
- Collaborate with product and design teams to create intuitive interfaces for complex financial workflows and enterprise-grade mortgage operations.
- Develop and deploy AI agents that navigate high-density data environments to automate and continuously improve entire financial operations.
The Ideal Candidate
- Has 4+ years of professional experience building and scaling high-quality software applications within complex distributed systems.
- Demonstrates mastery in backend or full-stack development, preferably within the Python, React, and GCP ecosystem.
- Possesses a strong technical curiosity for regulated industries and the ability to translate complex federal laws into extensible code architecture.
Key skills/competency
- Software Engineer
- Python
- React
- Kubernetes
- GCP
- AI Agents
- Fintech
- Financial Infrastructure
- Distributed Systems
- Regulatory Compliance
Skills & topics
- Software Engineer
- Python
- React
- Kubernetes
- GCP
- Fintech
- AI
- Distributed Systems
- Full-stack Development
- Backend Development
- New York
- San Francisco
- Remote
- Series C
- a16z
How to get hired
- Tailor your resume: Highlight experience with Python, React, Kubernetes, and distributed systems. Emphasize any background in regulated industries or translating complex laws into code.
- Showcase AI and fintech passion: Demonstrate understanding of AI-native platforms and the fintech landscape. Mention contributions to scaling high-quality software applications.
- Prepare for technical interviews: Be ready to discuss your experience with backend/full-stack development, complex distributed systems, and building scalable infrastructure.
- Research Valon Technologies: Understand their mission to build an AI-native OS for regulated finance and their backing by a16z.
- Engage with Jack: Utilize the AI career coach to refine your application and prepare for interviews with Valon Technologies.
Technical preparation
Behavioral questions
Frequently asked questions
- How does Jack & Jill's recruitment process work for a Software Engineer role at Valon Technologies?
- Jill, the AI Recruiter, is actively sourcing candidates for Valon Technologies. If your profile matches the Software Engineer requirements, Jack (your AI career coach) will facilitate an introduction to Valon Technologies for the next steps. Jack also helps with application support and interview prep.
- What is the expected salary range and equity for a Software Engineer at Valon Technologies?
- The Software Engineer role at Valon Technologies offers a competitive salary range of $230k-$250k, plus equity. This reflects the seniority and impact of the position within a rapidly growing Series C company.
- What kind of technical challenges can I expect as a Software Engineer at Valon Technologies?
- As a Software Engineer at Valon, you'll tackle complex challenges like building an AI-native platform to manage over $110B in loans, transforming mortgage servicing, and encoding intricate federal regulations into scalable, autonomous systems.
- What technologies are essential for the Software Engineer position at Valon Technologies?
- Proficiency in Python and React is highly preferred for this Software Engineer role. Experience with Kubernetes and the GCP ecosystem is also valuable, as you'll be designing and building robust infrastructure for large-scale financial operations.
- Does Valon Technologies offer remote work options for Software Engineers?
- Yes, Valon Technologies offers remote work options for their Software Engineer positions. The job description lists New York, San Francisco, and Remote as potential locations, indicating flexibility for qualified candidates.
- What makes Valon Technologies a unique company to work for as a Software Engineer?
- Valon Technologies is a Series C fintech backed by a16z, achieving high margins in a traditionally low-margin industry. They are building the foundational AI-native OS for regulated finance, offering a chance to work with an elite team and have significant impact.
- What is the required experience for the Software Engineer role at Valon Technologies?
- The ideal candidate for the Software Engineer role at Valon Technologies has 4+ years of professional experience in building and scaling high-quality software applications, particularly within complex distributed systems.
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