Learning Systems Lead ($165K–$215K + Equity) at Valon Technologies, Inc.
Job Description
- Design and ship the foundational onboarding journey to reduce time-to-mastery for complex mortgage servicing domains from six months to three.
- Partner with domain experts to extract knowledge and build verifiable practice loops and certification pathways for deployment and technical roles.
- Arcitect an "eternal coach" vision using LLMs and agents to provide always-on, cross-functional learning and reinforcement for every employee.
What You Will Do
- Own the end-to-end vision for an AI-native learning layer at a $1.1B unicorn, moving beyond traditional L&D into pure systems building and automation.
- Work directly on a critical scaling bottleneck for a company servicing $110B+ in mortgages, backed by elite investors like Andreessen Horowitz and WestCap.
- Prototype and ship cutting-edge AI tools, including "manager coach" bots and automated practice loops, to create a high-velocity, high-agency workforce.
About the Role
The Learning Systems Lead at Valon Technologies, Inc. will architect the company’s internal learning infrastructure from the ground up, leveraging AI to build an "eternal coach" layer, initially focused on slashing new hire ramp time from six months to three, eventually scaling to automated manager development and continuous skill-building systems.
Responsibilities
- Own the end-to-end vision for an AI-native learning layer at a $1.1B unicorn, moving beyond traditional L&D into pure systems building and automation.
- Work directly on a critical scaling bottleneck for a company servicing $110B+ in mortgages, backed by elite investors like Andreessen Horowitz and WestCap.
- Prototype and ship cutting-edge AI tools, including "manager coach" bots and automated practice loops, to create a high-velocity, high-agency workforce.
Requirements
- A systems-oriented builder who views AI as the primary delivery surface for learning rather than just an add-on or a buzzword.
- Proven ability to translate dense, regulated context into repeatable pathways and measurement-driven programs in high-growth environments like fintech or edtech.
- A high-agency operator with a "build, not buy" mindset, comfortable prototyping with automation tools and iterating based on time-to-ramp KPIs.
Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
- Minimum 7 years of experience in AI and machine learning, with a focus on learning and development.
- Experience with large-scale data processing and machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong understanding of natural language processing and its applications in education and training.
- Experience with designing and implementing learning management systems and platforms.
Skills
- Expertise in machine learning algorithms and models.
- Knowledge of deep learning techniques and architectures.
- Experience with natural language processing and NLP libraries such as spaCy, NLTK, or Hugging Face Transformers.
- Ability to design and implement scalable learning systems and platforms.
- Experience with user interface design and development for learning platforms.
Benefits
- Competitive salary range of $165K–$215K plus equity.
- Health insurance, dental, and vision plans.
- 401(k) retirement plan with company match.
- Flexible work schedule and remote work options.
- Professional development opportunities and access to industry events.
Pay
- Salary range of $165K–$215K.
Schedule
- Full-time position.
Company Description
Valon Technologies, Inc. is a $1.1B Series C fintech backed by Andreessen Horowitz and WestCap, reimagining the $20B+ mortgage servicing market with an AI-native operating system.
Why this role is remarkable
- Own the end-to-end vision for an AI-native learning layer at a $1.1B unicorn, moving beyond traditional L&D into pure systems building and automation.
- Work directly on a critical scaling bottleneck for a company servicing $110B+ in mortgages, backed by elite investors like Andreessen Horowitz and WestCap.
- Prototype and ship cutting-edge AI tools, including "manager coach" bots and automated practice loops, to create a high-velocity, high-agency workforce.
How this works
Jack is an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro.
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We never post fake jobs. This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
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