Director of Development and AI

Job Summary

The Director of Development & AI at Dassian Inc. leads the software development lifecycle (SDLC) to create innovative and scalable SAP-integrated solutions, while driving the adoption of AI across engineering. This role involves managing a team of developers, ensuring the delivery of high-quality products, embedding AI-assisted workflows into day-to-day engineering practice, and building AI capability into CI/CD pipelines and product features — all while collaborating across departments to align development efforts with the company's strategic goals.

Job Description

1. Development Leadership

• Oversee the design, development, and deployment of Dassian's software solutions.
• Ensure all products are delivered on time, within scope, and meet quality standards.
• Establish and enforce best practices in coding, testing, and deployment, including AI-assisted engineering practices.

2. AI-Enabled SDLC & Developer Adoption

• Lead the integration of AI tools and practices throughout the software development lifecycle, from planning and coding to testing, code review, and deployment.
• Drive day-to-day adoption of AI coding assistants and agentic development tools across the engineering team, establishing usage standards, prompting practices, and guardrails for responsible use.
• Define and track metrics for AI-assisted development adoption and impact (e.g., cycle time, code quality, developer productivity).
• Champion change management and training so developers build durable fluency with AI-assisted workflows rather than ad hoc use.
• Evaluate, pilot, and select AI development tools (coding assistants, code review agents, test generation tools) and manage vendor/tooling relationships.

3. AI in CI/CD & Product Features

• Build AI capability into CI/CD pipelines, including automated code review, test generation, build/release risk detection, and intelligent deployment gating.
• Partner with Product Management to identify, prioritize, and deliver AI-powered features within Dassian's SAP-integrated product portfolio.
• Establish standards for responsible AI use in production systems, including model selection, data handling, monitoring, and evaluation of AI-driven features.
• Stay current on emerging AI/ML tooling and techniques relevant to enterprise SAP software, and translate them into practical roadmap initiatives.

4. Strategic Planning

• Collaborate with leadership and Product Management to define the development roadmap and prioritize projects based on business and customer needs, including AI-driven initiatives.
• Monitor industry trends and emerging technologies, particularly in AI, to drive innovation in Dassian's offerings.

5. Team Management

• Lead, mentor, and manage a team of developers, fostering a culture of collaboration, continuous improvement, and continuous learning around AI-assisted development.
• Conduct regular performance reviews and provide professional development opportunities for team members, including AI upskilling.

6. Cross-Functional Collaboration

• Work closely with the product management, sales, and delivery teams to gather requirements and ensure alignment between development efforts and client needs.
• Act as a liaison between technical teams and stakeholders to translate business requirements into technical solutions, including AI-enabled capabilities.

7. Quality Assurance

• Establish and oversee rigorous quality assurance processes to maintain the reliability and performance of Dassian's software solutions, including validation of AI-assisted and AI-generated code.
• Address technical challenges and troubleshooting issues as they arise.

8. Process Optimization

• Continuously evaluate and refine development processes to improve efficiency, scalability, and agility, leveraging AI/automation wherever it adds measurable value.
• Ensure compliance with regulatory and industry standards where applicable, including responsible-AI and data governance considerations.

9. Talent Management

• Manage employees throughout the employee life cycle, including onboarding, development, and offboarding processes.
• Provide training and mentorship to staff, fostering a culture of growth and learning.
• Collaborate with leadership to address employment transitions and contractual updates effectively.

Education

Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's preferred).

Experience

• 10+ years of software development experience, including 5+ years in a leadership role.
• Expertise in SAP technologies, enterprise software solutions, and cloud-based systems.
• Demonstrated experience integrating AI/ML tools into engineering workflows or products (e.g., AI coding assistants, LLM-powered features, MLOps/AI pipelines).
• Experience embedding AI or intelligent automation into CI/CD pipelines is strongly preferred.

Skills and Competencies

• Proven track record of delivering large-scale, high-quality software products.
• Strong leadership, communication, and organizational skills.
• Proficiency in Agile/Scrum methodologies and modern development tools.
• Hands-on familiarity with AI coding assistants and developer-productivity tools (e.g., GitHub Copilot, Claude Code, or similar), and the ability to champion their adoption across a team.
• Understanding of applying AI/ML within CI/CD pipelines and product feature development.
• Ability to balance innovation with responsible-AI practices, including data security, code quality, and governance.
• Deliver projects within defined timelines, budgets, and quality parameters.
• Maintain a high level of team engagement and retention.
• Contribute to the strategic growth of Dassian's product portfolio by driving innovation and technical excellence.

Worker Type

Regular

Number of Openings Available

1