Benefits:

• Variable performance-based compensation

• Work-Life balance through flexible working hours

• Remote work opportunities

• Workations

• Regular team-building events

Education Requirements:

• Bachelor's degree in business administration, marketing, or a related field is advantageous but not mandatory

Experience Requirements:

• Several years of experience in sales, ideally in the SaaS B2B environment

• Proven success in customer acquisition and contract closures

Other Requirements:

• Excellent communication skills in German and English

• Customer-centric approach and skill in building long-term relationships

• Experience in data analysis to identify leads and optimize sales activities

Responsibilities:

• Customer acquisition and relationship building

• Sales cycle and data maintenance

• Customer support and consulting

Benefits:

• Equity packages

• Inclusive parental leave policy

• Annual Vibe & Thrive allowance

• Flexible leave options

Education Requirements:

• Bachelor's degree in a STEM area

Experience Requirements:

• Proven record of influencing the business with data

• Strong base in fundamental technical skills of data science

• Experience with other technical data science skills

• Experience in a tech company

Responsibilities:

• Finding strategic insights

• Experimenting

• Influencing with metrics

• Supporting with general data

• Extending data literacy

Benefits:

• Inclusive parental leave policy

• Annual Vibe & Thrive allowance

• Flexible leave options

Experience Requirements:

• Familiar with WCAG 2.2 AA and ATAG 2.0

• Deep understanding of different disability models

• Previous accessibility auditing experience

• Ability to work with technical and non-technical colleagues

• Experience prioritizing and progressing multiple tasks

Responsibilities:

• Drive progress with teams by outlining compliance standards

• Deliver preventative and detective controls

• Maintain an accurate paper trail

• Manage vendor relationships

• Liaise with critical staff

Benefits:

• Equity packages

• Inclusive parental leave policy

• Annual Vibe & Thrive allowance

• Flexible leave options

Experience Requirements:

• Strong background in machine learning

• Proficient in Python

• Collaborative mindset

• Drive for continuous learning

• Experience working in cloud environments

Responsibilities:

• Write cutting-edge machine learning algorithms

• Run training of machine learning models

• Optimizing trained models

• Collaborate with software engineers

• Collaborate with cross-functional teams

Benefits:

• Equity packages

• Inclusive parental leave policy

• Annual Vibe & Thrive allowance

• Flexible leave options

Experience Requirements:

• Experienced in both technical and people leadership

• Experience as an ML Researcher or leading ML research teams

• Experience or strong interest in computer vision

• Great research skills

• Ability to support team in balancing exploratory/innovative work

Responsibilities:

• Coaching, mentoring, and growing a team

• Model initiative and ownership

• Identify opportunities for cross-team collaboration

• Facilitate knowledge sharing

• Drive the planning and refinement of seasonal goals

Benefits:

• Equity packages

• Inclusive parental leave policy

• Annual Vibe & Thrive allowance

• Flexible leave options

Experience Requirements:

• 8+ years of experience

• Experience working with large strategic corporations

• Proven success managing a full sales cycle

• Talent for creating detailed plans

• Skills to captivate an audience

Other Requirements:

• Native French Speaking

Responsibilities:

• Account Planning

• Managing Pipeline + Revenue Growth

• Customer Centric

• Be a product expert

• Foster long-term relationships

Benefits:

• Marie Skłodowska-Curie Action scheme advantages

• Participation in web seminars

• Attendance at yearly meetings and international congresses

• Work at a modern office in Vienna

Education Requirements:

• Master's degree in bioinformatics/computational biology

Other Requirements:

• Fluent in R or Python

• Understanding of cellular and molecular biology

• Experience with SQL, JSON, XML

• Statistical analysis of large datasets

• Experience with biological databases (NCBI, Ensembl, UniProt, GEO, ArrayExpress)

• Knowledge of biological ontologies

• Knowledge of graph theory

• Experience with biological network modeling

Responsibilities:

• Meta-analysis of omics data

• Generation of a network-based molecular model

• Identification of compounds interfering with disease pathobiology

• Identification of drug combinations targeting synthetic lethal interactions

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning

Benefits:

• Flexible working arrangements

• Flat hierarchy and challenging tasks

• Integration in a team based in Vienna and Berlin

• Competitive salary package starting at 30,000€ full-time – depending on experience

Education Requirements:

• Completed or ongoing studies in computer science, mathematics, statistics or a comparable qualification

Experience Requirements:

• Skills in Python and SQL

• Experience in text analysis and machine learning is an advantage

Other Requirements:

• Strong communication skills and analytical thinking

• Independent, organized and structured working style as well as interest in new technologies

Responsibilities:

• Design and development of robust and scalable algorithms and analysis tools in the context of text processing

• Data-driven-development: From planing through analysis to design and implementation and ongoing support (monitoring and optimization)

• Modeling and development of complex data processing pipelines

• Research on current technologies and assessment of their suitability for production