לוח משרות דרושים עבודה היברידית

Requirements:
In-depth knowledge of compensation, benefits, recognition, and wellness program design.
Experience in working with global organization and familiarity with various cultures and ways of working
Experience with HRIS platforms. Ability to support HRIS implementation, troubleshooting, and user training
Strong analytical skills for interpreting complex data and making data-driven decisions Highly proficient in Microsoft Excel and PowerPoint.
Ability to build relationships with internal and external partners to stay current on technology, innovation, and systems.
Excellent written and verbal communication skills.
Bachelors degree in Human Resources, Business Administration, Economics, Statistics, or related field required. Masters degree a plus.
Proficient in English; Spanish is an advantage.
Minimum of 5 years of experience in Total Rewards, compensation, or benefits analysis.
Physical requirements: Desk-based work, computer use, repetitive hand movement, in line with local laws.

Requirements:
What You'll Need:

5+ years of experience in data engineering with 2+ years in a technical leadership or management role.

Strong technical background in Go and/or Java with hands-on experience in big data technologies.

Proven experience managing and scaling engineering teams.

Deep expertise with distributed databases (Cassandra, Elasticsearch) and production-grade data pipeline architecture.

Track record of delivering complex data infrastructure projects on time.

Excellent communication skills - ability to translate technical concepts to non-technical stakeholders.

Strong leadership abilities including mentoring, conflict resolution, and team building.

BS/MS in Computer Science or related field, or equivalent experience.

Experience with cloud platforms (AWS, GCP, Azure).

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Bonus Points:

Experience with identity and access management concepts or security analytics platforms.

Knowledge of security analytics and threat detection.

Contributions to open-source projects or technical community leadership.

Background in cybersecurity or security analytics.

Experience managing distributed or remote teams.

Prior experience at a high-growth technology company.

Requirements:
4+ years of hands-on experience as a content marketer in a SaaS environment - must.
Proven experience using AI tools for content creation and process optimization - must.
Native English speaker - must.
A versatile portfolio showcasing your ability to create a wide range of visual and written marketing assets for different channels and audiences.
A data-driven mindset with experience using analytics to measure content performance and inform strategy.
Experience with video production and editing - an advantage.
Experience marketing to an e-commerce audience - an advantage.

Requirements:
3+ years of experience in QA engineering - Must
At least 2 years of hands-on experience writing and maintaining automation test cases, with a solid grasp of coding principles - Must
Proven ability to create and manage QA documentation (test plans, test results, etc.) with an excellent understanding of QA processes and methodologies.
Excellent analytical, technical, and problem-solving skills.
Creative problem-solving skills for complex testing challenges.
Ability to work both independently and as part of a team.
QA course + ISTQB certification - Advantage
Experience with Playwright automation framework - Advantage

Requirements:
At least 1 year of experience in customer service-facing roles.
High-level English, both written and verbal (native or bilingual proficiency) - Must.
Excellent communication skills and customer-oriented attitude - Must.
Ability to understand and communicate in Hebrew - Must.‍
Knowledge of web technologies such as HTML & CSS - advantage.
Strong troubleshooting capabilities.
Ability to work in an agile, fast-paced, and dynamic environment.

Requirements:
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
MSC/PHD Student in Computer Science / Software Engineering / Information Systems /
Hands-on coding experience, strong programming and problem-solving skills
Good command of English
Team player with high motivation and self-learning ability
Please add your grade sheet to your application
Preferred technical and professional experience
PhD students
Experience working with AI and large language models

Requirements:
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
Sales Cycle Management: Experience in managing sales cycles, progressing opportunities to close, and collaborating with customers and internal stakeholders to drive revenue growth.
Demand Generation Strategies: Experience in developing and executing demand generation strategies to increase awareness and interest in AI solutions among customers and prospects.
Industry Knowledge and Sales Expertise: Experience in utilizing industry knowledge and sales expertise to drive sales growth and expand presence in the AI market.
Customer Relationship Building: Experience in establishing and maintaining strong relationships with customers, understanding their business needs, and identifying opportunities to deliver value through AI solutions.
Preferred technical and professional experience
Multi-Product Sales Expertise: Experience in managing sales cycles and progressing opportunities to close across multiple AI products, with the ability to collaborate with customers and internal stakeholders to drive revenue growth.
Industry-Specific Sales Strategies: Experience in developing and executing demand generation strategies tailored to specific industries, increasing awareness and interest in AI solutions among customers and prospects.

Requirements:
1-2 years of experience in a customer-facing role, ideally within the SaaS, financial operations, procurement, or enterprise tech industries

Proven track record of managing multiple accounts simultaneously while maintaining a high level of service

Exceptional written and verbal communication skills in English, A second language - an advantage

Strong analytical skills, including the ability to work with data, identify trends, and use insights to inform decisions

Technically proficient with the ability to quickly learn and explain software solutions to non-technical users

Strong business acumen with the ability to identify growth opportunities within accounts

Highly organized and self-motivated, with the ability to work in a fast-paced and evolving environment