Director, Data Product Engineering

PayNearMe, Inc.; United States; Remote; USD 200,000 - 245,000; Full time

Benefits offered by this job

Stock options

Phone/internet stipend

WFH stipend

Equipment reimbursement

Premium medical benefits

Job summary

PayNearMe seeks a strategic and technically accomplished Director, Data Products Engineering to lead architecture, engineering, and delivery of AI and data products across our fintech ecosystem. The role focuses on building scalable, reusable data products and a product-centric data operating model to empower analytics, regulatory reporting, and enterprise decision-making.

The candidate will lead teams responsible for high-quality data products, scalable data architectures, and reliable data

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, ML, recommendation systems, and AI-enabled analytics.
• Deep experience with modern cloud data platforms and analytical ecosystems including Snowflake, dbt, Fivetran, Looker/LookML, Python, SQL, AWS.

Responsibilities

• Lead architecture and engineering decisions for domain data solutions and cloud-based analytical AI/data platform expansion.
• Design scalable, resilient data architectures for high-volume transactional and analytical workloads.
• Oversee data modeling, ELT/ETL frameworks, data orchestration, quality, observability, and governance.
• Drive modernization of data workflows and pipelines to improve agility and scalability.
• Build and mentor high-performing Data Product Engineering teams and promote engineering excellence.

Skills

Strategic leadership

Data product leadership

Cloud data platforms

Python

SQL

AI/ML

Stakeholder management

Executive communication

Education

Bachelor's degree in CS or related field

Master's degree preferred

Tools

Snowflake

dbt

Fivetran

Looker/LookML

AWS

Terraform/OpenTofu

GitLab

Apache Iceberg

Job 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
• dbt
• Fivetran
• Apache Iceberg on Amazon S3
• Looker & LookML
• SQL, Python
• AWS
• Gitlab
• 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.

• 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
• 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:
• 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 modelling, 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.
• Deep experience with modern cloud data platforms and analytical ecosystems including:
• Snowflake
• dbt
• Fivetran
• 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
• 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.

The annual base salary range for this role represents PayNearMe's good‑faith estimate of the base salary it reasonably expects to offer for this position at the time of hire. Actual compensation may vary based on factors including the candidate's experience, qualifications, skills, and work location. PayNearMe may offer compensation outside of this range in certain circumstances. This position will remain posted until filled.

Annual Salary Range

$200,000 - $245,000 USD

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)

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 thistogethertodo the right thing. We deliverreal resultswe are proud of while remainingrespectful,transparent, andflexible.

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.