Talent Sourcer

Valon Tech

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

About the Company

Valon is building the AI-native operating system for regulated finance starting with mortgage servicing.

Were 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 wasnt 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. Weve 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 dont just automate tasks they continuously improve entire operations. Mortgage servicing is just the beginning of our vision to transform regulated industries and beyond.

The Role

Youll be a high-volume high-judgment sourcer responsible for building top-of-funnel pipelines across technical operational and leadership roles. Your job is not just to find candidates but to consistently surface well-calibrated talent that moves through the process.

Sourcing is not a support function here. Its a core input to recruiting quality.

This role is for someone who cares deeply about the craft of sourcing and wants to get better at it through feedback data and iteration.

Youll have visibility into how your candidates perform end-to-end and youll be expected to use that data to get sharper over time.

What Youll Do

Own top of funnel sourcing across multiple functions at once

  • Source for Product Engineering Data Deployment Product Ops and Executive roles

  • Manage multiple active searches simultaneously in a fast-moving environment

  • Balance speed and accuracy as req priorities shift

Optimize for quality not just volume

  • Be measured on the percentage of sourced candidates who pass RPS and advance to offer with the goal of continuously improving calibration

  • Actively track outcomes of your candidates and adjust sourcing strategies accordingly

  • Seek out more signal: what profiles convert where candidates stall why offers happen

  • Understand role nuance (what matters vs. what doesnt)

  • Learn quickly when profiles arent landing and correct course without being told twice

Partner closely with recruiters

  • Operate as a thought partner not a resume generator

  • Pressure-test profiles before sharing

  • Provide clear notes and rationale for why candidates are a strong match

  • Incorporate recruiter and hiring manager feedback quickly

  • Proactively flag market insights talent trends or role feasibility issues

Continuously refine your craft

  • Experiment with sourcing strategies and learn from results

  • Use metrics market data and feedback loops to improve

  • Leverage tools automation and AI where they meaningfully increase quality or speed

  • Develop sourcing strategies that scale (projects talent pools reusable searches)

  • Help improve how Valon sources not just fill todays reqs

What Good Looks Like

  • Your sourced candidates consistently pass screens and progress

  • Recruiters trust your judgment and seek your input

  • You notice patterns before others do and adjust without being asked

  • Youre fast but never sloppy

  • Your sourcing quality improves quarter over quarter

What Were Looking For

Must-Haves

  • 2 years of sourcing experience ideally across technical and/or business roles

  • Demonstrated ability to handle high req volume without sacrificing calibration

  • Strong written communication

  • Comfort operating in ambiguity and shifting priorities

  • A bias toward action and iteration in fast-paced environments

The Craft Mindset

Were looking for someone who:

  • Cant help but want to be world-class at sourcing

  • Actively seeks feedback and performance data

  • Cares about outcomes not optics

  • Treats sourcing as a craft to be sharpened not a task to complete

  • Feels uncomfortable when they plateau and actively looks for ways to get better

Nice-to-Haves

  • Experience sourcing across multiple job families simultaneously

  • Experience partnering with senior or highly opinionated recruiters

  • Comfort working in complex or regulated industries

Growth Opportunity

This role is designed to grow.

For someone who demonstrates strong judgment calibration and ownership there is a clear path to full-cycle recruiting over time. That transition is earned through sustained quality not tenure.

This Role Is Not a Fit If:

  • You optimize for activity over outcomes

  • Youre uncomfortable being measured on candidate quality

  • You prefer slow highly structured environments

  • Youre not interested in improving your craft over time

Throughout the interview process please remember that emails will only be from email addresses. We will never ask for any personally identifiable information during the interview process itself. Please reach out to 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.

About the CompanyValon is building the AI-native operating system for regulated finance starting with mortgage servicing.Were 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 ...
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