Company Description
At PayNearMe, we’re on a mission to make paying and getting paid as simple as possible. We build innovative technology that transforms the way businesses and their customers experience payments. Our industry-leading platform, PayXM™, is the first of its kind—designed to manage the entire payment experience from start to finish. Every click, swipe or tap is seamless, fast and secure, helping non-commerce businesses boost customer satisfaction, accelerate payments, and reduce costs.
Our single platform handles it all: cards, ACH, digital wallets such as PayPal, Venmo, Cash App Pay, Apple Pay and Google Pay, and even cash at more than 62,000 retail locations nationwide. Today, thousands of businesses across consumer lending, iGaming and online sports betting, property management, and tolling trust PayNearMe to deliver a payment experience that drives real results.
In September 2025, we raised a $50 million Series E funding round to accelerate our growth.
We’re a team of 300+ employees across 41 states, headquartered in Silicon Valley with satellite offices in Dallas, TX and Holmdel, NJ.
Join us and be part of a team that’s shaping the future of payments—one experience at a time.
Responsibilities:
We are seeking a strategic and technically accomplished Director, Data Products Engineering to lead the architecture, engineering, and delivery of AI products, data products and scalable data solutions across our fintech and payment processing ecosystem.
This leader will drive the company’s transition toward a product-centric data operating model by building trusted, reusable, scalable, and business-aligned AI/data products that power analytics, operational intelligence, AI/ML initiatives, customer experiences, regulatory reporting, and enterprise decision-making.
The role requires a strong combination of strategic data solution architecture expertise, modern cloud data engineering leadership, and product-thinking. The ideal candidate will lead teams responsible for engineering high-quality AI/data products, designing scalable data architectures, and enabling reliable enterprise data consumption at scale.
The current ecosystem includes:
About our Stack:
- Snowflake
- Dataiku
- dbt
- Fivetran
- Apache Iceberg on Amazon S3
- Looker & LookML
- SQL, Python
- AWS
- MySQL, PostgreSQL
- Gitlab
- Monte Carlo
- Terraform, OpenTofu
- RDS Database Insights and Datadog
This role will partner closely with Product, Engineering, Risk, and Operations teams to define enterprise data strategies, architect scalable data solutions, and operationalize high-value AI/data products that accelerate business growth and innovation.
Enterprise Data Product Leadership
- Collaborate with the Data leadership team on the refinement of our strategy for Data Products Engineering and scalable data product delivery with a focus on enabling/building AI-powered solutions.
- Establish a product-centric operating model for data capabilities, emphasizing:
- Reusable and governed data products with a focus on accelerating AI/data products
- Domain-oriented ownership
- Data contracts and SLAs
- Product lifecycle management
- Discoverability and interoperability
- Standardized business metrics and semantic models
- Partner with business and technology stakeholders to identify, prioritize, and deliver strategic data products aligned to enterprise goals.
- Drive the creation of scalable enterprise data assets supporting:
- Fraud and risk intelligence
- Transaction analytics
- Merchant and customer insights
- Financial and operational reporting
- AI/ML enablement
- Regulatory and compliance requirements
Strategic Data Solution Architecture
- Lead strategic architecture and engineering decisions for domain data solutions and our modern cloud-based analytical AI/data platform expansion
- Design scalable, resilient, and AI-ready data architectures that support high-volume transactional processing and analytical workloads.
- Collaborate with Data team leadership on enterprise standards for:
- Data modeling and semantic design
- ELT/ETL frameworks
- Data orchestration
- Data quality and observability
- Metadata management and lineage
- Data governance and security
- Performance optimization and scalability
- Architect data solutions that enable trusted, near real-time, and self-service access to enterprise data.
- Drive architectural alignment across operational systems, analytics platforms, AI/ML environments, and reporting ecosystems.
- Partner with Architecture, Cloud Engineering, and Security teams to ensure long-term AI and data product scalability, interoperability, and compliance.
Data Engineering Leadership
- Lead and scale high-performing Data Product Engineering team responsible for domain AI product and data product delivery.
- Oversee development and operationalization of scalable cloud-native data pipelines and data services.
- Drive modernization of legacy data workflows and platforms to improve agility, scalability, and operational efficiency.
- Ensure data products are optimized for analytics, predictive modeling, and AI/ML consumption.
Team Leadership & Organizational Development
- Build, mentor, and develop a high-performing teams
- Foster a culture of engineering excellence, ownership, innovation, and continuous improvement.
- Promote modern engineering and architectural practices across the organization.
- Establish career frameworks, mentorship programs, and capability development strategies for technical teams.
- Lead strategic vendor and technology partner relationships supporting data engineering and platform initiatives.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Information Systems, or related field required; Master’s or PhD preferred.
- 10+ years of progressive leadership experience in Data, Analytics, or AI/ML organizations.
- 5+ years leading enterprise-scale analytics, data science, or AI engineering teams.
- Strong hands-on expertise in predictive analytics, machine learning, recommendation systems, decision intelligence, and AI-enabled analytics.
- Proven experience building scalable enterprise data products
- Deep experience with modern cloud data platforms and analytical ecosystems including:
- Snowflake
- Dataiku
- dbt
- Fivetran
- Apache Iceberg
- Looker / LookML
- Strong technical expertise in:
- Python
- SQL
- ML frameworks and AI tooling
- Cloud platforms such as AWS
- Strong executive communication and stakeholder management skills.
- Experience leading within complex, matrixed organizations.
- Exceptional communication and stakeholder management skills with ability to influence executive and technical audiences.
Preferred Qualifications
- Experience within fintech, payment processing, transaction platforms, fraud analytics, or regulated financial services.
- Experience with real-time analytics and streaming architectures.
- Familiarity with:
- MLOps platforms
- Feature stores
- Vector databases
- Semantic retrieval architectures
- Agentic AI frameworks
- Knowledge of PCI, SOC2, GDPR, and financial data governance requirements.
- Experience integrating predictive AI and analytical AI capabilities with broader GenAI enterprise initiatives.
Why Join Us?:
- Competitive salary and benefits with growth-company options grant
- Fast- paced and professional work culture
- Stock options with standard startup vesting - 1 year cliff; 4 years total
- $50 monthly communication expense stipend to go towards your phone/internet bill
- $250 stipend to enhance your WFH setup
- Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200)
- Premium medical benefits including vision and dental (100% coverage for employees)
- Company-sponsored life and disability insurance
- Paid parental bonding leave
- Paid sick leave, jury duty, bereavement
- 401k plan
- Flexible Time Off (our team members typically take off ~3-4 weeks per year)
- Volunteer Time Off
- 13 scheduled holidays
PayNearMe strives to create a workplace where all employees thrive. Our core values represent who we are today and we take pride in the way we work with each other as well as with our stakeholders.
We’re in this together to do the right thing. We deliver real results we are proud of while remaining respectful, transparent, and flexible.
PayNearMe is an equal opportunity employer. We are diligently and thoughtfully working towards cultivating a diverse workforce which in turn, enhances our products and services for the communities we serve. Applicants who represent all backgrounds are strongly encouraged to apply.
CALIFORNIA CONSUMER PRIVACY ACT: APPLICANT NOTICE
Effective Date: January 1, 2020
Last Reviewed on: December 23, 2019
PayNearMe, Inc. (the “Company”) is providing you with this Notice (“Notice”) to inform you about:
- the categories of Personal Information that the Company collects and maintains about applicants; and
- the purposes for which the Company uses that Personal Information.
For purposes of this Notice, “Personal Information” means information that identifies, relates to, describes, is capable of being associated with, or could reasonably be linked, directly or indirectly with, a natural person that the Company may collect in connection with screening applicants for job openings at the Company.
- Identifiers and Professional or Employment-Related Information. The Company collects identifiers and professional or employment-related information, which may include some or all the following: real name, nickname or alias, postal address, telephone number, e-mail address, membership in professional organizations, professional certifications, language skills, and current and past employment history. The Company collects this Personal Information to evaluate previous job performance and consider applicants for positions, to develop a talent pool and plan for succession, to conduct applicant surveys, to maintain an internal applicant directory and for purposes of identification, to promote the Company as a place to work, and for workforce reporting and data analytics/trend analysis.
- Personal Information Categories from Cal. Civ. Code § 1798.80(e). The Company may collect categories of Personal Information listed in Cal. Civ. Code §1798.80(e), other than those already listed above, (a) to the extent necessary to comply with the Company’s legal obligations, such as to accommodate disabilities; (b) to conduct a direct threat analysis in accordance with the Americans with Disabilities Act and state law; (c) for occupational health and safety compliance and record-keeping; and (d) to respond to an applicant’s medical emergency.
- Characteristics of Protected Classifications Under California or Federal Law. The Company may collect information about race, age, national origin, disability, sex, and veteran status as necessary to comply with legal obligations, including the reporting requirements of the federal Equal Employment Opportunity Act, the federal Office of Contracting Compliance Programs (applicable to government contractors), and California’s Fair Employment and Housing Act. The Company collects this Personal Information for purposes including: to comply with Federal and California law related to accommodation. The Company also collects this category of Personal Information on a purely voluntary basis, except where required by law, and uses the information only in compliance with applicable laws and regulations.
- Education Information. The Company collects education information such as resumes and graduation records. The Company collects this Personal Information to determine suitability for roles, to determine eligibility for training courses, and to assist with professional licensing.
- Profile Data. The Company may collect profile data, including the following: psychological assessments, behavior analyses, or other profiling of its applicants. The Company collects this Personal Information to determine aptitude for certain positions and job assignments as well.
- Background Screening Information. In the event that an applicant is given a formal job offer, the Company collects background screening information prior to hiring, including results of the following types of background screening: criminal history; sex offender registration; motor vehicle records; credit history; employment history; drug testing; and educational history. The Company collects this Personal Information to screen for risks to the Company and its clients, and continued suitability for their jobs and to evaluate applicants for promotions.
