R&D Manager

About Us:

AUI is at the forefront of technological innovation, dedicated to delivering cutting-edge solutions and products. We are seeking a highly experienced R&D Manager to lead our Research and Development team, driving the development of innovative products and features.

What will you be doing?

As the R&D Manager, you will be responsible for overseeing the R&D team, and guiding the development of new products and features in collaboration with product, data, and infrastructure teams. Your role will involve strategic planning, resource management, and fostering a culture of innovation and excellence.

Key Responsibilities:

• Lead and manage the R&D team to deliver high-quality products and features.
• Provide guidance and mentorship to individual team members.
• Work closely with product and data teams to understand customer needs and translate them into technical requirements.
• Develop and implement engineering and research plans, including schedules and resource allocation.
• Instill best practices and cutting-edge research processes, staying up-to-date with industry advancements.
• Identify and address technical risks and issues that may impact project timelines or product quality.
• Communicate progress and adjust plans as needed to meet project goals.
• Recruit, train, and onboard new R&D team members.
• Work collaboratively with cross-functional teams.
• Have a deep understanding of Agile development methodologies.

Who you are:

You are passionate about technology and innovation, thrive in a fast-paced environment, and are committed to delivering results. You have a strong background in research and development with a focus on leading teams and managing complex projects.

What should you have?

• Strong background in engineering with a focus on R&D, BE, FE, QA, and DevOps technologies.
• Proven track record of successfully leading R&D teams.
• Experience working with LLM or AI-based products.
• Excellent communication skills and ability to work collaboratively with cross-functional teams.
• Demonstrated ability to develop and implement research and development plans.
• Understanding of agile development methodologies and ability to apply them effectively.
• Wide knowledge of different technologies, from BE and FE, through QA and DevOps, to prompt engineering and current AI architectures.
• Experience with GCP.