Product Solution Manager, BytePlus Recommend

Responsibilities

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us
Creation is the core of ByteDance's purpose. Our products are built to help imagination thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

About the Team
BytePlus is a business unit in ByteDance and provides intelligent platform services powered by industry-leading research in emerging technologies. From data analytics tools to computer vision software, BytePlus solutions enable businesses to reach their potential. To help businesses access BytePlus technologies, the Platform team delivers a reliable and easy-to-use platform that businesses can use to discover, learn more about, purchase, and use BytePlus solutions. Our platform makes it radically safe and effortless for technology professionals to consume solutions like BytePlus Recommendation, BytePlus Effects, and BytePlus Data Intelligence to grow their businesses.

This role sits within our Applied Machine Learning team, with a focus to support BytePlus Product Solution. The team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity and build a fair and flourishing ecosystem.

Responsibilities:
- Research and analyse EMEA market trends, potentials, and risks for recommendation as a product.
- Define and drive the product go-to-market strategies together with internal stakeholders
- Evaluate client's unique business needs and solutionise the recommendation product to meet such needs, while considering the project's feasibility and product's scalability.
- Manage project delivery milestones and work alongside different stakeholders.
- Communicate with external clients (c-level) and other stakeholders professionally, with an emphasis on the ability to articulate issues and findings in a simple, direct manner.

Qualifications

Minimum qualifications:
- Bachelor's degree or higher in similar fields such as Computer Science, Business or Finance.
- 2+ years of experience in product management or consulting of data products
- Good understanding of data and machine learning, such as data tracking, search and recommendation, or other ML products and technologies. Hands-on experience is preferred.
- Familiar with market research methodologies and strategies.
- Excellent communication skills and able to manage stakeholders across businesses and levels
- Strong analytical thinking, centered around problem-solving and data-driven decision-making.
- Passionate, open-minded, and comfortable to work with ambiguity and change in the fast paced industry

Preferred qualifications:
- Proficiency in data analysis such as the use of SQL and Python is greatly preferred.
- Experience working in a high pace technology 'start up' organisation.
- As an EMEA wide role additional languages such as Arabic, French, German would be beneficial.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.