Esusu was founded in 2018 to include everyone on the journey from financial identity and stability toward financial wellness that leads to wealth building. Our mission is to dismantle barriers to housing for working families. We aim to make the impossible possible for millions of Americans who are credit invisible, with no credit history in any of the national consumer reporting agencies. We work with renters and property managers to report on time rental payment data to national consumer reporting agencies as a way to establish and fill gaps in renters’ credit reports. We also offer services focused on financial support and well-being and provide access to rent relief through charitable partnerships.

THE CHALLENGE

We are seeking a Principal Technical Data/ML Product Owner to drive the development of AI/ML-powered consumer products that enhance financial identity, inclusion, and decision-making. This role is pivotal in shaping how data and machine learning improve consumer financial health, risk assessment, and credit-building opportunities.
As a senior leader, you will work at the intersection of data science, AI/ML, consumer finance, and financial identity, ensuring Esusu delivers impactful and responsible AI-driven solutions. You will define the strategy, roadmap, and execution for ML-enabled consumer products, balancing user needs, business growth, and regulatory compliance. In addition, you will own Esusu’s data strategy, pipelines, and solutions.

REQUIRED QUALIFICATIONS

• 8+ years in product management, data science, or ML-driven product development.
• Strong technical background in machine learning, data engineering, and AI-powered consumer products.
• Experience with financial identity products, alternative credit scoring, or fintech AI applications.
• Proficiency in writing and developing production code in SQL and Python in ML platforms (TensorFlow, PyTorch, AWS SageMaker, AWS Bedrock, Snowflake, ).
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• Writing SQL and Python code is expected on a regular basis

• Deep knowledge of financial data regulations (FCRA, ECOA, Fair Lending, CCPA).
• Proven ability to define, execute, and scale AI/ML-powered consumer experiences.

PREFERRED QUALIFICATIONS

• Prior experience in fintech, insurtech, or consumer financial services.
• Expertise in MLOps best practices, real-time AI models, and financial data privacy.
• Experience leading cross-functional AI teams in a high-growth environment.