Data Product Manager

SES AI Corporation is an advanced battery technology company headquartered in Boston, Massachusetts, focused on developing lithium-metal (Li-Metal) and lithium-ion (Li-ion) battery solutions for electric transportation and energy storage applications. The company operates three core business units: Drones, which supplies high-energy and high-power density NDAA-compliant cells for drones, urban air mobility, and robotics; ESS (Energy Storage Systems), which provides integrated hardware and software solutions for data centers and commercial and industrial customers; and Materials, which leverages AI-driven discovery to supply next-generation battery materials. Central to its operations is the Molecular Universe platform, an AI-for-Science SaaS platform that powers material discovery, battery management, and workflow automation across all business units.

Data Product Manager

 

Responsibilities

• Responsible for battery data and algorithm product planning, design and product lifecycle management

• Had a deep understanding of battery business, continued business research, planned and designed prototypes of data and algorithm products, and cooperated with business parties and product R&D to implement data products.

• Managed and followed up routine iteration projects of data products to ensure the smooth launch of each version

• Focus and track the development trends of the same industry at home and abroad, and constantly carry out product model innovation and business iteration

Qualifications

• Bachelor’s degree or above, more than 3 years of data or algorithm product experience, with battery industry big data and algorithm product experience is preferred

• Proficient in Axure and other product prototype tools; familiar with Tableau, PowerBI, FineBI, SQL and other data analysis tools is preferred

• Strong ability of product planning, design and project implementation; responsible for designing data analysis, algorithm, data visualization and other related products is preferred

• Familiar with common data analysis and processing methods, have sensitive data awareness, have certain independent data processing ability, familiar with application scenarios of data product solutions in the industry

• Have excellent logical thinking and quick learning ability, good communication skills and document output ability, can quickly promote the implementation of data product projects, have strong cross-team cooperation ability and execution ability