Drive global marketing initiatives across India, the USA, and the Middle East, developing and executing marketing strategies, strengthening brand positioning, driving demand and lead generation, and creating impactful marketing campaigns to support business growth across these regions.
Responsibilities
Develop and execute global marketing strategies aligned with business objectives across India, USA, and Middle East markets
Drive end-to-end demand generation and lead generation initiatives to support sales pipeline growth
Plan and execute integrated marketing campaigns across digital, social media, email, events, webinars, and other channels
Lead brand positioning, corporate branding, PR, and thought leadership initiatives
Drive digital marketing initiatives, including SEO, SEM, website management, and social media presence
As a Mission Ops Engineer, you'll be the person on the ground helping customers deploy Nominal's platform into their test and operations environments — propulsion test stands, satellite mission ops, flight test, and similar high-stakes settings. You'll train users, troubleshoot issues in real time, and build the relationships that turn a deployment into a long-term partnership.
Responsibilities
Own the outcome for a set of customer accounts: run discovery to understand their test problems, align internal and external stakeholders, and deliver solutions that stick, on time and on target
Deploy and integrate: write code to ingest and normalize customer data from test stands, DAQs, telemetry streams, and other hardware sources, and build the pipelines and automations that turn that data into decisions
Build custom apps, dashboards, and workflows on Nominal's platform for each customer's specific needs
Build trusted relationships with everyone from front line engineers and operators to senior executives, and train their teams as they bring Nominal into daily use
Debug issues across the stack in real time, and know when to solve something yourself versus pull in the broader team
Requirements
Graduating in Summer 2027 or sooner
Nice to have: Data acquisition (DAQs, LabVIEW, MATLAB/Simulink)
Nice to have: Data tools (SQL, Pandas, Grafana)
Nice to have: Deploying technical software or data products into real-world workflows
Nice to have: Customer-facing, account management, technical support, or project management experience
Abwicklung von Wareneingängen und Warenausgängen, Durchführung von Lager-/Logistikprozessen (Einlagerung, Kommissionierung und Versand), Be- und Entladung von LKW-Einheiten, Prüfung der Lagerbestände und Mitarbeit bei der Inventur.
Responsibilities
Abwicklung von Wareneingängen und Warenausgängen
Durchführung von Lager-/Logistikprozessen (Einlagerung, Kommissionierung und Versand)
Be- und Entladung von LKW-Einheiten unter Berücksichtigung entsprechender Vorschriften
Prüfung der Lagerbestände
Mitarbeit bei der Inventur
Requirements
Abgeschlossene Ausbildung als Fachlagerist oder Fachkraft für Lagerlogistik
Gewerbliche bzw. technische Berufsausbildung mit entsprechender Berufserfahrung im Lagerbereich
Ausbildung zum Kaufmann für Spedition & Logistikdienstleistungen
Compensation
Bei uns arbeitest du regulär in einer 40-Stunden-Woche und erhältst im 1. Ausbildungsjahr 1020€, im 2. Ausbildungsjahr 1125€ und im 3. Ausbildungsjahr 1130€.
Responsibilities
Lernen der Prozesse der internationalen Transportorganisation
Bearbeiten von Dokumenten unter zoll- und außenwirtschaftlichen Aspekten
Übernahme administrativer Tätigkeiten und Unterstützung des Teams
Austausch mit staatlichen Behörden und internationalen Geschäftspartnern
Responsable de la bonne gestion financière, comptable et budgétaire de la base ainsi que de la gestion des ressources humaines, des dossiers administratifs et juridiques de la base dans le respect des procédures PUI et bailleurs.
Responsibilities
Superviser la gestion financière, comptable et budgétaire sur la base
Superviser les activités de gestion administrative des ressources humaines sur la base
Superviser la gestion administrative sur la base
Centraliser et diffuser l’information au sein de la base pour les domaines financiers, administratifs, juridiques et ressources humaines
Turn business questions and data into practical AI solutions by combining data analysis, machine learning and modern AI engineering to generate reliable business insights and build scalable applications.
Responsibilities
Use SQL and Python to explore, combine, clean, filter and validate data and answer business questions in a reliable, repeatable way.
Perform exploratory data analysis to identify patterns, trends, correlations, anomalies and data-quality issues.
Translate business questions into structured analytical approaches, hypotheses and measurable outcomes.
Apply statistical methods and effective visualizations to validate findings and communicate them clearly.
Independently investigate unfamiliar datasets, ask the right questions and select an appropriate analytical or machine-learning approach.
Sales Executive focused on selling Cloud Communication solutions to reinforce market development activities with Cloud Communication providers (CPaaS, UCaaS, conferencing and contact centers) in the US.
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