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Salary
≈ $32k – $86k per year (Estimated)
Location
In office (Shanghai)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Jan 16, 2023. SES AI scores D on the Alion truth index.

Overview
Company
Impact
Profile match
SES AI is an American developer and manufacturer of high-performance lithium-metal and AI-enhanced battery technology headquartered in Woburn, Massachusetts, with strategic pilot manufacturing and R&D facilities in Shanghai and Seoul. Originally founded in 2012 out of MIT as SolidEnergy Systems by CEO Dr. Qichao Hu, the company operates on a B2B technology licensing, joint-development agreement (JDA), and enterprise OEM battery manufacturing commercial model.

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

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