• Preferably solid expertise in other modern languages, e.g., Rust
• Experience with AWS cloud technologies and/or the ELK stack
• Strong SQL skills and experience with relational databases
• Domain knowledge in BESS operation and energy markets
• AI as yet another tool in your toolbox

• Drive growth by building strong relationships with major sales partners, including automotive OEMs, utilities, installation companies, and others
• Own the entire partnership lifecycle from pitching and negotiating to closing contracts and managing long-term partner relationships
• Identify and evaluate growth opportunities by assessing international expansion potential and defining regulatory and technical requirements for the product development team
• Support market entry efforts through project management, helping to establish local teams, processes, and operational structures
• Contribute to product development by translating customer needs and market insights into actionable requirements
• Represent the company at trade shows, conferences, and other international industry events

• Define and execute the product strategy for our Asset Flexibility Commercialization portfolio, including Route to Market and Trading as a Service offerings, to maximize the value of battery storage systems and other flexible assets across Day Ahead, Intraday, and ancillary service markets.
• Own the commercial success of the portfolio across the full product lifecycle, including business case development, pricing strategy, packaging, margin expansion, andlong-term scalability.
• Continuously assess market developments, regulatory changes, and competitive dynamics across European energy markets to identify new product opportunities and growth potential.
• Ensure that product decisions are grounded in a strong understanding of market design, dispatch logic, bidding strategies, operational constraints, and revenue stacking opportunities.
• Partner closely with Trading, Sales, Operations, and Software Development to translate market and customer requirements into robust, scalable product solutions aligned with company strategy.
• Build and strengthen a high performing product organization with clear ownership, effective decision making, and strong cross functional alignment to enable high quality execution at speed. Lead, coach, and develop a team of Product Managers and Product Owners, fostering a culture of accountability, commercial focus, and continuous improvement. 

• Anlage, Pflege und Strukturierung von Produktdaten in unseren internen Systemen und Webshops
• Sicherstellung einer hohen Datenqualität und klaren Produktdarstellung
• Betreuung eines abgesteckten Produktportfolios im Tagesgeschäft
• Schulung und Vermarktung der Produkte für unseren offline & online Vertrieb

• Unterstützung bei Projekten rund um Sortiment, Produkte und Prozesse, mit Schnittstellen in andere Abteilungen (Sales, Support, Business Operations, usw.)
• Koordination von Aufgaben mit internen und externen Stakeholdern

• Kommunikation mit Herstellern und Lieferanten: Austausch zu Neuheiten, auslaufenden Produkten, Preislisten, Lieferthemen, Supportfällen, usw.
• Enge Zusammenarbeit mit Einkauf, Vertrieb, Marketing und Support

• Schrittweise Übernahme von Verantwortung für eigene Themenbereiche
• Mitwirkung bei der Analyse und Optimierung von Support- und Gewährleistungsprozessen
• Perspektive auf eigenständiges Portfolio- und Lieferantenmanagement

In this role, you will design, implement, and maintain data pipelines and long-running services that process large volumes of energy market data. You will work closely with traders, analysts, and other engineers to ensure that critical data is available, accurate, and timely for dashboards and decision-making tools.

This role is best suited for senior-level engineers with experience in taking end-to-end ownership of critical data services in production.

• Develop and maintain containerized services deployed on ECS
• Build and orchestrate workflows using Airflow and/or Prefect
• Apply software engineering best practices: modular design, testing, CI/CD, code reviews, and versioning
• Design and maintain analytics-ready data models tailored to trading, risk, and performance reporting
• Collaborate with traders, analysts, and engineers to define metrics, KPIs, and data contracts
• Connect curated datasets to dashboards and BI tools (e.g., Grafana)
• Ensure data correctness, timeliness, and availability for business-critical dashboards
• Implement monitoring, alerting, retries, and backfills for pipelines and services
• Optimize performance, scalability, and cost across AWS components
• Document systems, services, and data models to support self-service analytics
• We care more about strong engineering fundamentals than experience with every specific tool listed

• Experience in energy trading, power markets, commodities, or financial markets
• Familiarity with time-series data, market curves, and forecast data
• Experience operating streaming systems for market or operational data
• Practical experience with Apache Spark and/or Apache Flink
• Knowledge of AWS-native streaming tools (Kinesis)
• Experience with data observability, quality checks, and SLAs
• Exposure to quantitative, forecasting, or optimization systems

• Develop and maintain highly scalable cloud-based backend services, primarily using Python
• Architect and optimize solutions that provide EV and charge point flexibility to energy markets
• Enhance system reliability, scalability, observability, and cost-efficiency across our AWS cloud infrastructure
• Apply software engineering best practices: modular design, design patterns, testing, CI/CD, and code reviews
• Operate containerized workloads (Docker) and integrate databases (PostgreSQL, Redis, DynamoDB) into your modern architectures
• Collaborate with cross-functional teams to translate VGI complexities (like grid constraints and charging schedules) into robust technical systems
• Implement cutting-edge technologies and uphold the highest security and quality standards for critical energy infrastructure
• Utilize TypeScript for Infrastructure-as-Code (IaC) setups and maintain some existing TypeScript backend components

• Experience in e-mobility, Energy Management Systems (EMS), Vehicle Grid Integration (VGI), smart charging, or Vehicle-to-Grid (V2G)
• Familiarity with EV charging and IoT protocols (e.g., OCPP, ISO 15118, OpenADR)
• Experience with energy markets, flexibility trading, or grid integration systems
• Experience handling real-time telemetry, IoT data, or high-throughput time-series data
• Practical experience with Infrastructure-as-Code (IaC) tools on AWS (e.g., AWS CDK)
  Excerpt from our tech-stack, sorted by priority: Python, AWS, Docker, Rust, TypeScript, Relational and Non-Relational Databases

• Lead, coach, and develop the Energy Supply team, fostering a hands-on, pragmatic, and collaborative culture
• Own and continuously improve all operational processes across the customer lifecycle (onboarding, billing, service, retention)
• •ake ownership of operational excellence in market communication and ensure compliance with regulatory requirements of the German energy market
• Establish and manage a KPI-driven Customer Success approach to increase customer lifetime value and reduce churn
• Ensure efficient and scalable 1st and 2nd level support processes for both our B2C product (eyond) and our white-label partner solutions
• Act as the main operational counterpart for our white-label partners, ensuring high service quality
• Drive continuous process improvements based on data, customer insights, and operational performance metrics
• Ensure stable day-to-day operations while building scalable structures and automation
• Own and steer price adjustments, contract renewals, and portfolio development from an operational perspective
• Manage operational escalations and ensure fast, structured resolution across internal teams and external partners

• Designing and owning the algorithmic optimisation stack - multi-market dispatch optimisation, stochastic bidding strategies across DA, ID, FCR, aFRR and mFRR, and real-time decision logic for BESS assets
• Leading a team of 7 Quant Traders, Analyst and Data Scientists - setting direction, prioritising the roadmap, running code reviews, and building a strong delivery culture
• Driving the research-to-production pipeline: from hypothesis and backtesting through validation, deployment with Tech, and continuous performance monitoring
• Advancing the automation agenda together with the Platform teams.
• Building and maintaining BESS valuation and degradation models at fleet scale, incorporating physical constraints, cycle costs, and multi-market opportunity costs
• Acting as the key technical interface between quant models and trading strategy - translating trader intuition or quant insights into formal optimisation problems and communicating model outputs clearly
• Serving as key sparring partner for the senior leadership on algorithm performance, market structure changes, and quantitative strategy

• Experience with SDDP (Stochastic Dual Dynamic Programming) or similar scenario-tree approaches for multi-period storage valuation
• Background in Monte Carlo simulation for extrinsic value modelling or DA-SWAP pricing on BESS assets
• Exposure to multiple European market zones (DE/AT, FR, BE, SE, BG or similar)
• Knowledge of REMIT / REMIT-II compliance requirements
• Experience with ETRM systems or building proprietary trading infrastructure