Why you'll love this NUE opportunity!

As a Technical Manager, Data Migration, you’ll be responsible for designing and driving the development of data migration and automation tools, leveraging AI to improve efficiency, while leading a small team of developers to deliver scalable solutions.

You have a passion for building tools that solve customer challenges and a strong desire to apply AI/automation to complex data workflows. You thrive at the intersection of technical leadership and hands-on problem-solving, and you enjoy working across engineering, product, and customer-facing teams. You’re motivated by building scalable frameworks that make customer implementations more efficient, accurate, and future-proof.

Job Role and Responsibility

We are seeking a Technical Manager to lead the design and execution of Nue’s internal tools and data migration frameworks. In this role, you will manage a team of developers, define the architecture for tooling, and ensure high-quality delivery of solutions that support customer onboarding and system integrations. You will evaluate and apply AI/ML technologies to accelerate data transformation, mapping, and validation processes, while collaborating with cross-functional stakeholders to align on business needs and implementation strategies.

Key Responsibilities

• Team Leadership
  • Lead and mentor a team of developers focused on building internal tools and migration frameworks.
  • Establish coding standards, best practices, and delivery timelines.
  • Scope and prioritize development tasks based on business impact.

• Tool and Framework Development
  • Design and oversee the build of scalable data migration tools that streamline onboarding and integrations.
  • Design the methodology for scoping, discovery, extract, transform, load, and validation.
  • Leverage AI/ML to automate mapping, anomaly detection, and transformation tasks.
  • Ensure tools are user-friendly, secure, and adaptable for various customer use cases.

• Cross-Functional Collaboration
  • Partner with Implementation, Customer Success, and Product teams to gather requirements and validate solutions.
  • Serve as a technical consultant and subject matter expert for complex migration scenarios.
  • Provide thought leadership on how Nue’s tooling strategy can improve customer experience.

• Quality & Continuous Improvement
  • Define testing, validation, and monitoring processes to ensure reliability of migration tools.
  • Continuously optimize existing frameworks to improve speed, accuracy, and maintainability.
  • Document architecture, workflows, and best practices for internal use.

Required Skills and Experience

• 7+ years of experience in software development, data migration, or integration engineering.
• 3+ years of experience leading technical teams or managing developers.
• Strong programming skills (Python, Java, or similar).
• Experience with SaaS migrations, enterprise software, or financial/ERP systems.
• Proven experience with ETL pipelines, APIs, and database management (SQL/NoSQL).
• Familiarity with AI/ML applications for automation, data quality, and transformation.
• Excellent leadership and stakeholder management skills with the ability to translate business requirements into technical execution.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications

• Hands-on experience with LLMs (Large Language Models) or AI frameworks (e.g., TensorFlow, PyTorch, LangChain).
• Knowledge of cloud platforms (AWS, GCP, or Azure).
• Familiarity with Jira, GitHub, or other collaboration tools.
• Background in leading cross-functional migration or tooling initiatives at scale.

What We Offer

• The opportunity to shape the future of Nue’s tooling and AI strategy.
• A leadership role with real impact on customer implementations and long-term success.
• A fast-paced, innovative startup environment with room for growth and experimentation.
• Collaboration with passionate teammates across engineering, product, and customer success.