1 Gender Jobs Remote

Battery intelligence into products: You’ll bring your deep battery expertise into product development by shaping intelligent, data-driven features in our battery analytics platform. Your models and insights won’t just live in notebooks — they will ship as scalable software that delivers real value to customers., From science to product: Collaborate closely with Product Managers and Software Engineers to design, implement, and validate battery algorithms that support features like state estimation, degradation analytics, and safety indicators — always with a view toward reliability, performance, and customer needs., Own product features end-to-end: From prototyping to production, you’ll be responsible for the technical feasibility, integration, and continuous improvement of new battery analytics features — ensuring they are robust, maintainable, and aligned with platform architecture., Customer impact through platform scaling: Help scale our product to support diverse fleets of stationary storage and EV batteries. You’ll contribute to onboarding processes, understand customer use cases, and ensure that new insights are accurately and efficiently delivered at scale., Advance our capabilities: Drive innovation in battery analytics, from refining electrochemical models and estimation techniques (e.g. SoC, SoH, SoP) to exploring novel uses of machine learning in diagnostics and lifetime forecasting., Collaborative development: You’ll work in an agile, cross-functional team with Product, Engineering, and Data Science. You’ll take ownership of development streams while staying aligned with product goals and roadmap priorities.

Expand presence in existing and new markets - focus on DACH - (especially BESS), Accelerate business growth by addressing relevant in-bound and out-bound leads, Work collaboratively with our product development unit, providing crucial market insights and customer feedback, Conduct thorough market research to uncover unexplored opportunities, Collaborate closely with the executive team as well as your colleagues in the Sales & Solution Engineering Department, Marketing and Customer Success, Your work will have a direct impact on the environment and how batteries are being used in the future.

Lead cross-functional projects with accountability for results., Ensure delivery is structured, transparent, and on track., Turn uncertainty into clear next steps., Make budgets, risks, and shifting requirements manageable and visible., Capture customer needs, feature requests, and recurring pain points and turn them into input for the roadmap., Ensure solutions serve real people, not just technical specs., Bring a user perspective into delivery through user interviews or reviewing usability.

Lead real projects from onboarding and commissioning through designing, validating, and deploying analytics., Collaborate closely with Customer Success and Product to understand systems, diagnose issues, and configure analytics., Design custom analytics and innovate., Take responsibility for technical feasibility, smooth integrations, and continuous improvement.

Design, build, and maintain scalable ELT pipelines in our modern data stack (Cloud Composer, Airflow, dbt, BigQuery, GitLab), Develop and maintain robust data models that power analytics, reporting, and product features, ensuring they follow best practices for performance and maintainability., Manage and optimise data infrastructure, including Cloud Composer environments and related GCP resources, in close collaboration with our infrastructure team., Implement orchestration, testing, and monitoring to ensure data quality, reliability, and traceability across the data warehouse., Troubleshoot pipeline or environment errors quickly and effectively., Collaborate closely with backend and frontend engineers (our backend is mostly in Java) to ensure seamless integration of data models and pipelines into the product., Contribute to architectural decision-making, e.g. by writing and reviewing RFCs, applying data engineering design patterns, and following architectural best practices., Promote documentation and knowledge sharing, ensuring our data systems and processes are transparent and accessible across the company., Mentor and support other engineers, fostering a culture of growth and continuous improvement within the team.

Datenmodellierung optimieren: Du nutzt deine analytischen und logischen Fähigkeiten, um unser Datenmodell ganzheitlich in den Bereichen ETL, Model Inference, Reporting und Systemintegration neu zu denken und skalierbar zu gestalten., Datenpipelines entwickeln und verbessern: Du entwirfst und optimierst komplexe Datenpipelines, um große Datenmengen effizient zu verarbeiten und die Modularität zentraler Logiken sicherzustellen., Technologie-Weiterentwicklung und Dokumentation: Du hältst unsere Code-base auf dem neuesten Stand und pflegst die technischen Dokumentationen., Fachliche Unterstützung und Zusammenarbeit:Du unterstützt den operativen Bereich und fungierst so als Schnittstelle zwischen dem Tagesgeschäft und der Produktentwicklung.

Provide technical leadership and mentorship to the Energy Management teams., Champion the buildup and nurturing of a healthy engineering culture., Work closely with Product to define and execute the Energy Management product roadmap., Collaborate with cross-functional teams to deliver cohesive and customer-centric Energy Management products., Define and maintain the technical architecture and design principles., Drive innovation and continuous improvement within the Energy Management engineering team., Establish and enforce quality assurance processes and best practices., Responsible for budget planning, resource allocation, and cost management., Continuously improve and evolve the company's technology stack., Build, develop, and manage a high-performing engineering team., Lead and develop managers for multiple engineering teams.

Datenmodellierung optimieren, Datenpipelines entwickeln und verbessern, Technologie-Weiterentwicklung und Dokumentation, Fachliche Unterstützung und Zusammenarbeit

Beratung und Unterstützung bei der Implementierung der AIPERIA Software, Übersetzung von individuellen Kundenanforderungen in klare und präzise User Stories., Durchführung von Workshops und Trainings bei Kunden, Erstellung von ersten Analysen in Excel aus Rohdaten sowie Übersetzung von Kernfragestellungen in klare Auswertungen., Interpretation der Datenanalysen und überzeugende Präsentation der Ergebnisse vor dem Kunden., Enge Zusammenarbeit mit internen Teams wie Sales, Produktentwicklung und Support

Managing the supplier database, Analyzing contracts and expense reports, Processing and resolving supplier invoices, Creating payment proposals and reports, Month-end closing and reconciliations, Supporting audits and special requests, Building and maintaining working relationships, Compliance with (local) accounting and tax laws, Contributing to process improvement and supporting projects

Verwaltung der Lieferantendatenbank, Analyse von Verträgen und Ausgabenberichten, Bearbeitung und Lösung von Lieferantenrechnungen, Erstellung von Zahlungsvorschlägen und Berichten, Monatsabschluss und Abstimmungen, Unterstützung bei Audits und Sonderanfragen, Aufbau und Pflege von Arbeitsbeziehungen, Einhaltung der Buchhaltungs- und Steuergesetze, Beitrag zur Prozessverbesserung und Unterstützung bei Projekten