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Requirements:
Bachelor's degree in industrial engineering & management, Logistics, Supply Chain, or a relevant field
At least 5 years of procurement and logistics experience
Experience with controlled materials and regulatory compliance (ITAR, EAR) - an advantage
Familiarity with AS9100 or other aerospace industry quality standards - an advantage
Experience working with global aerospace manufacturers and suppliers - an advantage
Understanding mechanical and electronic components, reading technical drawings, analysing reports - an advantage
Strong negotiation skills and ability to work under pressure
Advanced Excel skills and experience with ERP systems
Experience in international shipping, customs regulations, and freight management
High-level English proficiency (reading, writing, and speaking)

Requirements:
1-3 years of experience in Supply Chain / Planning / RMA / Project Management roles.
BA/BSc in Logistics, Industrial Engineering, or a related field.
Strong experience in inventory management and operational processes.
Proven ability to lead projects and drive process improvements and optimization initiatives.
High level of analytical skills - ability to work with large datasets and derive insights.
Creative thinker with the ability to challenge existing processes and drive innovative solutions.
Passion for continuous improvement and operational excellence.
Hands-on mindset - willing to perform operational and technical tasks when needed.
Experience working with multiple interfaces and stakeholders across the organization.
Advanced proficiency in Excel and Office tools.
Experience with SAP and Salesforce - advantage.
Fluent English (written and spoken).
Team player with strong communication skills.
Ability to work in a fast-paced, dynamic environment with a high level of ownership.
Nice to Have
Experience working in a high-tech company.
Experience in global environments.
Knowledge of Microsoft Access and experience working with databases.
Familiarity with AI tools / automation solutions.

Requirements:
Bachelors degree in Economics, Business Administration, Industrial Engineering, or a related field
3+ years of relevant experience in a global sales organization, ideally within GTM or RevOps
Deep understanding of GTM operating models and the role of Revenue Operations in driving predictable growth
Hands on experience with forecasting processes, executive reporting, and senior leadership cadences
Proven, practical experience working directly with Salesforce and Clari as core operational systems
Strong analytical and business oriented thinking, with the ability to synthesize complex information into clear insights
Excellent interpersonal communication and stakeholder management skills; able to influence without authority
High EQ, maturity, and comfort operating in fast paced, high visibility environments
Strong command of Excel, Power BI, and familiarity with modern data platforms such as Snowflake.

Requirements:
3+ years of experience as a data, product, or business analyst, ideally at a fast-growing consumer company
A degree in Industrial Engineering, Mathematics, Statistics, or a related field
Strong SQL skills and hands-on experience with BI tools (Looker, Tableau, Mixpanel, or similar)
Familiarity with A/B testing best practices and comfort working with complex datasets
The ability to work fluidly across product managers, data engineers, and data scientists, and to communicate technical findings clearly in English
Ready to work in an office environment most days of the week

Requirements:
Education
BA/BSc in Industrial Engineering/Economics required, or relative experience in lieu of degree will be considered
MBA is a plus
Work Experience
Minimum 5 years in managerial positions in med device/pharmaceutical services, manufacturing or similar industry required
Preferred Knowledge, Skills and Abilities
Ability to manage projects in a matrix structure
Ability to work under pressure.
Excellent Interpersonal communication.
Ability to work independently self-directed.
Analytical problem-solving skills.
Must be fluent in English, both written and spoken

Requirements:
Basic Qualifications:
BA in Logistics/ Industrial Engineering or Practical Eng with 1-3 years relative work experience.
Fluent in English- verbal and written.
Experience in logistics/inventory
System oriented and high analytical skills
Experience in ERP system- SAP highly preferred
Proficient of Office systems
Preferred Knowledge, languages, Skills, and Abilities:
Ability to work under pressure.
High learning ability
Order and organization
Motivated team player
Analytical strength and autonomous, self-reliant, and proactive work style
Ability of finding creative solutions to challenging situations, a can do approach.
Relevant work history and/or experience may be considered in lieu of degree

Requirements:
3+ years of hands-on experience working with AI - building AI-powered solutions, agents, automations, or AI-driven workflows in a professional setting.
3+ years in roles requiring both technical depth and business acumen - such as solution architecture, systems design, technical consulting, product, operations, CS Ops, customer operations, or technology-driven business transformation.
Strong understanding of Customer Success, support operations, customer operations, or post-sale customer journeys.
Ability to translate business problems into practical AI solutions that are adopted by real users.
Strong technical and architectural thinking, including workflow design, integrations, prompt logic, agent behavior, automation, and scalable systems.
Understanding of AI solution design, including prompt engineering, context engineering, agent design, orchestration, workflow automation, integrations, and runtime behavior.
Experience working with operational systems such as Zendesk, Slack, Notion, CRM, knowledge bases, data tools, workflow automation platforms, or similar tools.
Strong execution mindset, with the ability to move from problem definition to prototype, rollout, measurement, and continuous improvement.
Excellent communication and stakeholder management skills, including the ability to present to leaders, facilitate workshops, coach teams, and translate technical concepts into business language.
Strong analytical skills, with the ability to define KPIs, identify patterns, measure impact, and improve performance over time.
High adaptability, curiosity, and comfort working in ambiguity as AI tools and business needs evolve.
Technical education or equivalent practical experience in Computer Science, Information Systems, Industrial Engineering, Data, Operations, or a related field.

Requirements:
Bsc in Industrial Engineering, Economics, Statistics or similar field.
Willingness to learn and use third-party platforms.
Ability to take on multiple projects at the same time.
Strong organizational, analytical, presentation and problem solving skills.
Profound knowledge of MS-Office products (Excel in particular).
Fluent English - verbal and written.
Passion for marketing and mobile games.
Advantage:
Previous experience in a data driven environment
Ability to manipulate and analyze large quantities of data and present it in reports.