What are the responsibilities and job description for the Cloud Software Engineering Manager - Kohler Ventures position at kohler?
Location: Hybrid, 3 days/week in Palo Alto, CA or New York City, NY
Opportunity
Kohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations. Our mission is to build new digital businesses that empower consumers to lead healthier lives. We explore how familiar experiences can be enhanced and innovations developed through the integration of leading-edge technology, science, and design. Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships. Our locations are Palo Alto, CA US, New York City, NY US, Kohler, WI US, Seoul, Korea, and Tel Aviv, Israel.
The role reports to the Head of Software Engineering and is responsible for managing a team of 5 Backend, Full-Stack, and Front-End engineers, while also performing hands-on technical work and coding as required.
In your role as Software Engineering Manager at Kohler Ventures you will
- Work directly with the Head of Software, software engineering team, and product teams.
- Strategic Planning: Guide the team in designing and implementing data systems that adhere to modern high throughput architectures while keeping privacy as a top priority.
- Team Leadership: Manage and mentor a team of Cloud Engineers, fostering an environment of continuous learning and innovation.
- Project Management: Oversee multiple projects, ensuring they are delivered on time and meet quality standards.
- Collaboration and Communication: Serve as the key point of contact between the data engineering team and other departments, translating technical concepts into business solutions.
- Data Quality Oversight: Ensure the team maintains high standards for data quality and consistency across all stages of the data lifecycle.
- Data Quality and Consistency: Ensure the high quality and consistency of data through rigorous testing and validation.