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Engineered Intelligence Inc

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2020

⚡ Energie

☁️ SaaS

🤝 B2B

Energy • SaaS • B2B

Engineered Intelligence Inc. ist ein Softwareunternehmen, das von Energietechnikern gegründet wurde und eine Echtzeit-Plattform für Asset Management und Analysen für Energieversorgungsunternehmen bereitstellt. Ihr Produkt ENGIN™ vereint Daten aus Vor-Ort-Inspektionen, Live-Sensordaten und historische Metriken, um das Lastwachstum zu prognostizieren, die Zuverlässigkeit vorherzusagen, Investitionen zu priorisieren und die Wartung durch eine mobile App mit der Planung zu verbinden. Die Plattform soll Energieversorgungsbetreibern helfen, schnellere, datengetriebene Investitions- und Betriebsentscheidungen zu treffen, Risiken zu reduzieren und die Kundenverlässlichkeit zu verbessern.

Beschreibung

• Serve as the technical lead for ENGIN implementations, expansions, and complex configuration initiatives. • Translate client asset, reliability, cost, and planning challenges into ENGIN data models, workflows, and analytics configurations. • Design scalable solutions that balance client-specific needs with product standards and long-term maintainability. • Act as a trusted technical advisor to clients on asset analytics, planning methodologies, and ENGIN best practices. • Lead day-to-day delivery activities for assigned client projects, including: Requirements discovery and validation, Data ingestion, transformation, and validation, Configuration of ENGIN modules and workflows, User training and enablement. • Partner with client technical teams to ensure successful deployment in real operational environments. • Ensure implementations meet agreed scope, timelines, and quality standards. • Work directly with client practitioners, analysts, and subject-matter experts. • Identify gaps between current workflows and desired future-state analytics. • Deliver training sessions, workshops, and working sessions that enable clients to confidently use ENGIN. • Provide deep technical context during client discussions, escalations, and roadmap conversations. • Collaborate closely with Product Management, Engineering, and DevOps teams to shape requirements, clarify implementation needs, and support releases.

🎯 Anforderungen

• Bachelor’s degree in Engineering, Applied Science, Data Analytics, Operations Research, or a related discipline (or equivalent experience). • 5+ years of experience working with electric or gas utilities, infrastructure analytics, or enterprise asset management environments. • Hands-on experience with asset data (health, reliability, risk, cost, performance). • Experience implementing or working with enterprise platforms such as EAM, GIS, analytics, or planning tools. • Strong analytical skills with comfort working in large, complex data sets. • Ability to translate ambiguous client problems into structured, implementable solutions. • Excellent written and verbal communication skills, including professional fluency in an additional language (Spanish, French, and/or German). • Comfortable working independently in a remote, fast-moving environment. • High ownership mindset with a bias toward action and delivery. • Experience working within Agile or hybrid delivery models. • Right to work in the UK.

🏖️ Vorteile

• Fully remote work. • Flexible work hours (Core working hours 10:00AM to 3:00PM in your local time zone). • Autonomy with a wide range of responsibilities, opportunities for advancement, and cross-disciplinary exposure. • Competitive base salary plus performance incentives. • Stock options so you can realize the value created with your work in the organization. • Competitive annual leave and benefits.