Applied AI Engineer, Pagaya Investments
Office of the CEO
$140-170k
Artificial intelligence for consumer lending
Be an early applicant
Artificial intelligence for consumer lending
501-1000 employees
Be an early applicant
$140-170k
501-1000 employees
Company mission
To forge the future of finance by harnessing the power of artificial intelligence to modernise a limited and inefficient consumer lending system.
Role
Who you are
- Experience: 4+ years of experience in data engineering, business intelligence, or software engineering with demonstrated hands-on experience building applied AI solutions, internal tools, or AI-driven automations
- Business Intelligence Core: Strong mastery of SQL, data modeling, BI tools (e.g., Tableau, PowerBI, Looker), and experience processing, analyzing, and structuring large data sets
- Technical & Coding Proficiency: Advanced proficiency in Python (or JavaScript/TypeScript) for data manipulation, backend scripting, and rapid software prototyping; comfort generating, debugging, and refactoring AI-generated code
- Modern AI Tooling & Frameworks: Hands-on experience with modern LLM APIs/ecosystems (OpenAI, Claude, Gemini), agentic orchestration frameworks, RAG (Retrieval-Augmented Generation) architectures, and enterprise AI platforms
- Communication & Stakeholder Management: Exceptional written and verbal communication skills with a proven track record of distilling technical and financial concepts for non-technical leadership and cross-functional teams
- Adaptability & Drive: An entrepreneurial mindset with the ability to manage multiple complex, fast-paced projects simultaneously, delivering meticulously accurate, self-audited work within tight deadlines
- Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, Finance, Engineering, or an equivalent quantitative discipline required
- Preferred: Prior exposure to financial services, structured finance, fixed income, or capital markets workflows is a strong plus
What the job involves
- As an Applied AI Engineer embedded within the Office of the CEO and President (OCEO/OOP), you will serve as a high-impact builder driving the future of AI-enabled business transformation at Pagaya
- Working at the intersection of business strategy, data architecture, and modern artificial intelligence, you will build and deploy practical, high-value AI solutions, automations, and intelligent agents that modernize internal workflows
- Starting within the OCEO/OOP to address high-visibility executive priorities, your work will quickly expand to partner with key business functions across Capital Markets, Finance, and broader Operations
- Combining a strong background in Business Intelligence (BI) with hands-on AI engineering capabilities, you will translate complex financial workflows into durable, scalable AI systems that elevate operational speed and analytical precision across the company
- Embedded AI Development: Act as the primary technical builder, advisor, and problem-solver for AI-enabled workflow transformations - starting in the OCEO/OOP and expanding into Capital Markets, Finance, and key operational units
- Workflow Automation & Agentic Systems: Identify manual, repeated, or data-dense business processes and build production-ready AI tools, customized copilots, and agentic workflows to streamline execution
- BI & Data Integration: Leverage a robust background in Business Intelligence and data analysis to connect LLMs, foundation models, and AI agent frameworks directly into Pagaya’s data infrastructure, dashboards, and financial models
- Cross-Functional Execution: Work closely with business leadership, financial analysts, and capital markets teams to translate ambiguous business problems and complex financial data into practical, user-friendly technical solutions
- Rapid Prototyping & Scale: Design, iterate, and deploy prototypes rapidly based on stakeholder feedback, while adhering to enterprise standards for data security, governance, and responsible AI usage
- Enablement & Documentation: Templatize and document solutions to enable scalable reuse across departments; lead walkthroughs and light enablement to drive active user adoption across technical and non-technical teams
Our take
The traditional consumer lending system is widely regarded as inefficient and can limit a lender’s ability to evaluate credit applications. Pagaya Investments is disrupting this system: its platform uses comprehensive learning insights to offer better assessments and more accurate credit evaluations. This allows its customers to rapidly scale their services while reducing the risk of defaults or fraud.
Since its launch, the company has grown significantly, managing billions in assets for a diverse range of clients, including banks, insurance companies, pension funds, asset managers, and private health funds. Major enterprises like Visa, Avant, and SoFi utilise Pagaya's AI evaluation to extend credit to underserved customers, achieving levels of speed and accuracy that traditional methods cannot match.
Pagaya has continued to enter new markets each year, having begun with personal loans and then expanding into auto loans and real estate. This is demonstrative of the company's ability to scale across markets, and it is now focused on increasing the adoption of its technology by large banks and auto lenders.
Steph
Company Specialist at Welcome to the Jungle
Insights
-20% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jun 2020
$102m
SERIES D
Apr 2019
$25m
SERIES C
Total funding: $144.3m
Company HQ
Murray Hill, New York, NY
Leadership
Gal Krubiner
(Co-Founder & CEO)Gal worked for ORMOR CAPITAL before co-founding Super Price and spending over 3 years at UBS.
Yahav Yulzari
(Co-Founder & Deputy CEO)Yahav has been Owner of Hamovil Jack Yulzari Limited and Galya Global since 2010 and 2014 respectively.
Avital Pardo
(Co-Founder & Deputy CEO)They spent many years as an Analyst in Israel's Defense Force and as a Data Scientist & Analyst at Fundbox before co-founding Pagaya.
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