Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing.
We're a Series C company backed by a16z, transforming industries that others have written off as too complex to innovate.
Rather than build on top of broken legacy systems, we took a different approach: we built and operate our own mortgage servicing business managing $110+ billion in loans. This wasn't the end goal, it was how we deeply understood the complexity needed to build software that actually works in regulated industries.
The results speak for themselves. We've transformed mortgage servicing from a 0% margin business into 60%+ margins while dramatically improving customer experience. Major enterprise contracts are now deploying across the industry.
ValonOS is our unified platform that makes every process structured and programmable and it is perfectly positioned for the AI era. When everything flows through one system with rich data, AI agents don't just automate tasks, they continuously improve entire operations. Mortgage servicing is just the beginning of our vision to transform regulated industries and beyond.
We are looking for full-stack data analysts who can take end-to-end ownership of the data and analytics needs of Valon’s SaaS customers. You will be responsible for large scale migrations of varying reporting infrastructure to the Valon Data Schema and API on behalf of clients. You will interface with clients, stand up data infrastructure, migrate or build out reporting, and more. You'll own the data side of every implementation end-to-end: requirements, infrastructure, migration, and the analytical relationship that follows.
ResponsibilitiesCollect and document client requirements at the project level from client data analysts.
Establish new data processes, tools, and systems for clients according to plan.
Create reporting pipelines in dbt.
Write, re-write, or migrate SQL queries, reports, and dashboards to empower client operational processes.
Conduct analysis to inform client business decisions.
Document, audit, and improve client data sets to meet client data needs.
Respond to data requests from the client and their operations teams.
Meet tight project deadlines.
Dive deep into the mortgage servicing industry to understand its complicated inner workings.
Develop expert level AI skills to code at maximum velocity.
Ideal Background
6-8+ years of full-time work experience in data analytics, product analytics, business analytics, or business intelligence, ideally at a tech company (mortgage servicing experience a plus).
Experience in a customer facing role.
Expert in SQL required (Python skills a plus).
Experience with dbt.
Experience using data visualization tools, especially Hex, Looker, PowerBI, Tableau or equivalent BI tools.
Experience working with data engineering teams and building out data infrastructure.
Experience applying data and analytics concepts to business problems.
Compensation: competitive salary with a meaningful stake in the company via equity, and 401k plan. NB: The base salary range reflects multiple levels. We assess level based on a combination of past experience and interview performance
Health & well-being: we’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits
Commuter benefits: We offer pre-tax deductions for public transportation, rideshare services, and parking expenses to make your commute more affordable and convenient
Grow together: Company wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback
Play together: quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners!
Generous time off: flexible paid time off, sick days, and 11 company holidays
Baby bonding time!: 12 weeks off for both birthing and non-birthing parents - fully paid so you can focus your energy on your newest addition
Throughout the interview process, please remember that emails will only be from valon.com email addresses. We will never ask for any personally identifiable information during the interview process itself. Please reach out to [email protected] if you have any requests to verify the authenticity of an outreach.
Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.
Skills Required
- 6-8+ years of full-time experience in data analytics, product analytics, business analytics, or business intelligence
- Expert in SQL
- Experience with dbt
- Experience migrating reporting infrastructure and standing up data pipelines
- Experience using data visualization tools (Hex, Looker, PowerBI, Tableau or equivalent)
- Experience working with data engineering teams and building data infrastructure
- Customer-facing experience (working directly with client data teams)
- Python skills
- Mortgage servicing industry experience
Valon Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Valon and has not been reviewed or approved by Valon.
-
Healthcare Strength — Company materials highlight company-sponsored medical, dental, and vision coverage as core benefits. Comprehensive health coverage is consistently presented as a strength across benefits summaries.
-
Parental & Family Support — Fully paid 12 weeks of parental leave for both birthing and non-birthing parents is explicitly advertised. This breadth of leave is positioned as a standard part of the package.
-
Equity Value & Accessibility — Equity is described as a meaningful component for technology roles with a standard four-year vesting schedule. Public role materials and aggregations indicate equity can materially lift total compensation in tech functions.
Valon Insights
What We Do
Valon is building the AI-native operating system for regulated industries. We’re re-architecting the largest and most complex layers of the global economy, starting with mortgage servicing, a $20B+ market that governs $13T in debt. For decades, this infrastructure ran on outdated software and manual workflows. With ValonOS, we rebuilt the system from first principles to be precise, programmable, and resilient enough for trillion-dollar markets. Here, you’ll join a team of relentless builders who thrive on untangling complexity and turning it into durable systems. If you’re energized by solving the hardest problems, moving fast without breaking trust, and finding joy in cracking what others will not touch, join Valon.
Why Work With Us
We're rewriting the script of the antiquated mortgage servicing industry by building modern solutions that put homeowners first. We’re a growing, curious, and humble team with a tech-centric culture. Valonians are data-driven, quick thinkers who believe in transparency, ownership, and a healthy dose of scrappiness!
Gallery
