Director Research Development Engineering

Our company

Dedicated to safeguarding e-commerce from illicit activities, we collaborate with leading fintechs and marketplaces to seize new business prospects and swiftly eliminate harmful elements.

EverC, a trailblazer in the field, employs cutting-edge technologies, including Gen-AI & ML, at scale in production. Analyzing hundreds of millions of domains, we effectively categorize the internet, shedding light on hidden relationships and risks, unveiling complete digital fingerprints, and uncovering opportunities for efficient and confident business scaling.

Our expanding clientele includes JPMorgan, Mastercard, Visa, Amex, Adyen, Ali Pay, Amazon Pay, Intuit, Nuvei, Payoneer, Wix, eBay, and more. With backing from Viola Capital, American Express Ventures, Nyca Partners, Arbor Ventures, and Red-Dot.

Our Team

The Core Engineering group specializes in developing EverC's Data & (Gen) AI/ML - based detection capabilities, processing millions of data points daily. Identifying threats, revealing patterns, and seizing opportunities are our core objectives. Maintaining a robust and reliable data infrastructure is paramount to our success.

Your opportunity

We are looking for an experienced R&D Director to lead EverC’s Core Engineering organization. In this role, you will oversee multiple engineering teams, managed by team leads, and will report directly to the CTO. You will shape the technological vision, ensure excellence in execution, and drive large-scale data and AI initiatives that are at the heart of our products.

This is a unique opportunity to combine deep technical expertise with strong leadership skills, while scaling a high-performing engineering organization that operates at the intersection of cutting-edge data and AI technologies.

As an R&D Director at EverC you’ll be expected to:

• Define and drive the technological strategy and roadmap for multiple engineering teams.
• Manage, mentor and develop team leaders, empowering them to build and scale high-performing teams.
• Partner with Product Management and other stakeholders to align priorities with the company’s business objectives.
• Oversee the design and development of large-scale, Gen-AI/ML products and infrastructure.
• Drive engineering best practices across all teams, including coding standards, architecture reviews, testing, and CI/CD.
• Ensure efficient processes and continuous improvement in delivery, quality, and innovation.
• Build organizational capacity by hiring and developing top talent.
• Foster a culture of collaboration, innovation, and accountability.

Your day-to-day:

• Lead and inspire a growing group of engineers through your team leads.
• Ensure smooth execution of cross-team projects and initiatives.
• Guide architectural decisions and influence how data is processed at scale.
• Collaborate closely with the CTO and other executives to set long-term technological direction.
• Track performance and delivery metrics, ensuring alignment with business goals.
• Champion engineering excellence and innovation across the group.

Baseline qualifications:

• 3+ years of proven experience as an R&D Director / Senior Engineering Manager, managing multiple teams and team leads.
• 8+ years of hands-on engineering experience with modern technologies (Java, Python, .NET, etc.).
• Strong background in data-centric products, Gen-AI/ML, large-scale distributed systems, and microservices architectures.
• Experience leading large engineering groups in a cloud-based environment (AWS preferred).
• Demonstrated ability to manage complex projects and align them with strategic goals.
• Proven track record as a mentor and leader of leaders.
• Excellent communication and collaboration skills in English.
• BSc in Computer Science or equivalent (MSc – advantage).

Preferred qualifications:

• Proficiency in Kubernetes.
• Experience with streaming architectures (Kafka, Kinesis, etc.).
• Hands-on experience with Spark (Scala/PySpark).
• Experience with developing and deploying ML models at scale.
• Experience with Agentic software development.
• Experience with LLMs (serving and fine-tuning).
• Familiarity with CI/CD systems (Github Actions, ArgoCD).
• Experience with infrastructure-as-code tools (Terraform, CloudFormation).