Data Product Engineer Hayward CA

Blue Current Overview

Blue Current (the “Company”) is the industry leader in the development of silicon solid state batteries. Free of flammable liquid electrolytes, Blue Current’s fully dry, inherently safe batteries significantly reduce risks to human and environmental health while providing a higher-performance alternative to traditional lithium-ion batteries. Blue Current’s silicon-based platform is highly adaptable, enabling a cost-effective solution for both the mobility and stationary storage markets.

Blue Current’s team works out of its state‑of‑the‑art headquarters and pilot line facility in Hayward, California.

Blue Current is seeking a highly motivated and hands‑on Staff Data Product Engineer to lead the development and optimization of our internal database and Manufacturing Execution System (MES). This role is pivotal in bridging complex cell development data to actionable software solutions through mastery of data architecture, product ownership, and UI design. Operating with significant autonomy, the Staff Data Product Engineer defines the product roadmap for internal software, manages third‑party developers who build and maintain these systems, and serves as the internal advocate who translates the needs of cell engineers, process engineers, and manufacturing teams into precise software requirements.

Success means that every team at Blue Current has reliable, intuitive access to the data they need — and that the underlying systems are built to scale alongside the company.

• Design and oversee the development of intuitive user interfaces for battery data analysis, ensuring full database capabilities and robust metadata tracking for advanced performance analysis and rapid root‑cause analysis.
• Lead product development for the internal database and MES, ensuring systems scale effectively from lab‑scale R&D to pilot production.
• Define detailed software requirements, user stories, and acceptance criteria for new features and capabilities, translating the needs of cell engineers, process engineers, and manufacturing teams into specifications that third‑party developers can execute against.
• Lead the product development roadmap, feature prioritization, and lifecycle management for the internal database and MES.
• Collaborate on architecting robust database structures that accurately reflect complex material tracking, process data, and testing workflows.
• Monitor and maintain data integrity across all systems, developing validation protocols and troubleshooting data pipeline failures as they arise.
• Serve as the primary point of contact for internal troubleshooting, user training, and product documentation.

• PhD (with 3+ years of relevant experience), Master’s (with 6+ years of relevant experience), Bachelor’s (with 8+ years of relevant experience) in Computer Science, Data Science, Chemical Engineering, Materials Science, or a related field, or equivalent combination of education and industry experience.

• Hands‑on experience acting as a product owner or product manager for internal software tools, databases, or MES platforms, with personal accountability for roadmap decisions and feature delivery.
• Direct experience defining software requirements and managing external or third‑party developers, including setting expectations, reviewing deliverables, and maintaining delivery timelines.
• Proven understanding of battery performance testing, cell characterization, and typical battery data structures.
• High proficiency in SQL database and experience querying complex relational databases to troubleshoot user issues or validate data integrity.
• Experience with data visualization tools and UI/UX design principles (e.g., Python, Tableau, Power BI, or front‑end web frameworks) sufficient to guide interface development and evaluate delivered work.
• Experience working cross‑functionally with hardware engineers, software developers, and leadership teams to advance programs.

• Solid understanding of typical battery performance metrics and testing protocols, familiarity with time‑series data generated by standard…