Octopai is the world’s leading Data Lineage Platform and next generation AI based DataOps workspace. Octopai’s SaaS solution is used by large enterprise companies globally, It revolutionizes how data teams operate, offering multilayered Data Lineage, Data Discovery, and Data Catalog platforms.
As the VP of R&D, you will play a pivotal role in shaping the future of our company by driving innovation, overseeing product development, and ensuring the successful delivery of enterprise B2B solutions. Your leadership and hands-on approach will be critical in guiding our R&D team to create and maintain industry-leading products. If you are a forward-thinking leader with a track record of success in agile and innovative companies, we want to hear from you.
- Strategic Leadership: Provide strategic direction for the R&D department, aligning it with the company’s overall goals and objectives. Develop and execute a clear R&D roadmap that drives innovation and product excellence.
- Team Management: Build and lead a high-performing R&D team, fostering a culture of collaboration, innovation, and continuous improvement. Recruit, mentor, and develop top talent within the department.
- Agile Methodologies: Implement and champion agile methodologies within the R&D department, promoting adaptability and responsiveness to changing market demands.
- Data Engineering: Leverage your data engineering expertise to enhance our products, utilizing data-driven insights to make informed decisions and improve product performance. Prior experience in data engineering is a significant advantage.
- Quality Assurance: Establish and maintain robust quality assurance processes to guarantee the reliability and security of our products.
- Performance Metrics: Define and track key performance indicators (KPIs) to measure the effectiveness and impact of the R&D department’s efforts.
- Proven experience as an R&D leader in agile and innovative companies.
- Strong background in developing enterprise B2B products.
- Hands-on approach to problem-solving and product development.
- Expertise in data infrastructure is a significant advantage.
- Excellent leadership and team-building skills.
- Strong communication and collaboration skills.
- Bachelor’s degree in a relevant field or equivalent combination of education and experience.