Responsibilities:

• Define hardware architecture and ensure designs meet specifications and quality standards

• Collaborate with cross-functional teams, including software engineers, product managers, and manufacturing specialists, to integrate hardware components into products

Experience Requirements:

• Experience of writing for and scripting AI assistants (advantage, not essential)

• Experience with words in any context (advantage)

Other Requirements:

• Excellent spoken and written English

• MS Excel skills

• Enjoy recognising and analysing patterns

• Ability to work systematically

• Willingness to learn conversation platform skills

Responsibilities:

• Designing natural conversations with a high level of English language

• Crafting dialogue flows appropriate to the client’s needs and creative direction

• Ensuring understanding of end user needs

• Analysing conversations and performance monitoring

• Implementing data-driven improvements

Benefits:

• Drive growth in a dynamic, high-potential tech environment

• Enjoy autonomy with our "freedom and responsibility" work approach

• Collaborate with exceptional talent solving extraordinary challenges

• Flexible, remote-first setting

• Make strategic impact while having fun with awesome colleagues

Experience Requirements:

• Strong project management skills

• Strong client-facing skills

• Strong communication and presentation skills

• Practical experience developing taxonomies and ontologies

• Practical experience managing human and-or machine classification

Other Requirements:

• In-depth knowledge of controlled vocabulary standards and best practices (ANSI-NISO Z39.19, ISO 25964, etc.)

• in-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL, etc.)

• Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)

• Familiarity with graph databases, specifically including RDF graph databases

Responsibilities:

• Project manage client engagements from pre-sales to onboarding deployment and training

• Work with clients and internal teams to provide taxonomy, ontology, and classification expertise, ensuring solutions meet user needs and business objectives

• This role requires a blend of product and project management skills and semantic graph expertise

• Be a product evangelist contributing to online content and in-person events

• Gather and prioritize client requirements, and contribute fresh ideas to the product development roadmap

Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

• Master’s degree in data science, artificial intelligence, computer science or equivalent experience

Experience Requirements:

• Minimum three years of experience delivering major data science projects in large, complex organizations

Other Requirements:

• Strong communication, business acumen and stakeholder management competencies

• Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices

• Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture

• Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience

• Familiarity with cloud solution architecture, Azure a plus

Responsibilities:

• Translate broad business problems into sharp data science use cases, and craft use cases into product visions

• Own machine learning products from vision to backlog; prioritizing features and defining minimum viable releases; maximizing the value your products generate, and the ROI of your pod

• Guide Agile pods on continuous improvement, ensuring that the next sprint is delivered better than the previous

• Work closely with stakeholders to identify, refine and (occasionally) reject opportunities to build machine learning products; collaborate with support functions such as risk, technology, model risk management and incorporate interfacing features

• Facilitate the professional & technical development of your colleagues through mentorship and feedback

Benefits:

• 401K and AD&D

• Healthcare

• Global Exchange Program

• Work from anywhere

• Employee stock options

Education Requirements:

• Bachelor’s Degree in a data-related field

Experience Requirements:

• 3+ years of experience in making analytical, data-driven decisions

• 3+ years of experience manipulating data sets using SQL

• 3+ years of experience working collaboratively with different stakeholders

Other Requirements:

• Ability to think strategically, analyze and interpret product behavioral data

• Fluent written and verbal communication skills in English and Hebrew

• Strong data storytelling abilities

Responsibilities:

• Be the focal point in terms of data familiarity, business goals and KPIs

• Help promote a data-driven culture

• Proactively perform data analysis

• Attend customer-facing meetings and convey data insights

• Build reports, dashboards and metrics

Benefits:

• Flexible Working Hours

• Competitive Compensation

• Competitive Medical, Dental, Vision, Life Insurance

• 401k with up to 6% matching

• Unlimited PTO

Responsibilities:

• Lead the development and execution of product strategies for major products or markets

• Define and prioritize features to drive business growth and market opportunity

• Drive end-to-end product development lifecycle across engineering, design, and other stakeholders

• Conduct user research to understand customer needs and translate insights into actionable product requirements

Benefits:

• Remote and flexible work

• Competitive packages

• 4 weeks of vacation

• Team events

Experience Requirements:

• A genuine enthusiasm for the field of AI, a love for innovative problem-solving, and an eagerness to stay at the cutting edge of AI technology and applications.

• Demonstrated ability to work independently and manage multiple projects simultaneously without direct supervision.

• Capacity to quickly learn new features in our product and stay updated on the latest advancements in AI technology.

• Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to diverse audiences. Must be adept at maintaining customer satisfaction while confidently asserting company positions, such as in Change Requests (CRs).

• Collaborative mindset, capable of working seamlessly within cross-functional teams and fostering a positive team environment.

Other Requirements:

• Excellent spoken and written English and additional language (Czech/Slovak/Polish/German)

Responsibilities:

• Business Consultation

• Product Knowledge

• End-to-End Project Management

• Customer Success Management

Education Requirements:

• Bachelor’s degree in Maritime Studies, Data analysis, or any other related field

Experience Requirements:

• 5-10 years of experience in maritime data management

Other Requirements:

• In-depth knowledge of the global shipping industry, including ownership structures and maritime regulations

• Ability to work with external data sources and streamline data from various inputs

• Strong analytical skills with proficiency in data management tools (e.g., SQL, Python, Excel) and quality assurance processes

• Experience in data selling and/or data acquisition processes (e.g. data catalogues, data samples, API requirement etc)

• Ability to work in a fast paced environment, involving sensitive data needing immediate attention

Responsibilities:

• Ensure accuracy and consistency in ship ownership and shipping company data

• Track changes in ownership, addresses, and registrations, including changes occurring as a result of new Sanctions, and ensure records are updated in a timely manner

• Track and maintain high quality data across our datasets, and implement processes to ensure data quality improvement where needed

• Assist customer support team with complex Ownership queries and investigations

• Provide guidelines and training to members of our remote Editorial Team on data collection processes, and data investigations

Benefits:

• Commuter Benefits

• Meaningful equity

• Unlimited Vacation

• Great Health Insurance

• Remote Work Flexibility

Benefits:

• Competitive compensation package

• Monthly education stipend

• Flexible PTO

Education Requirements:

• Master's degree in STEM or Bachelor's degree in STEM with certified online courses in machine learning

• PhD in Math, Data Science, Computer Science, or related field (preferred)

Experience Requirements:

• Experience designing and/or teaching technical courses online or offline

• Industry experience as a data scientist, machine learning engineer, or similar (preferred)

Other Requirements:

• Technical background in math, data science, and programming

• Knowledge of instructional design best practices

• Excellent communication skills

• Team player

Responsibilities:

• Convert SME's vision into effective learning content

• Review and provide feedback on technical content

• Ensure high content quality and good pedagogy

Benefits:

• Competitive compensation package

• Monthly education stipend

• Flexible PTO

Education Requirements:

• Master's degree in STEM or Bachelor's degree in STEM with certified online courses in machine learning

• PhD in Math, Data Science, Computer Science, or related field (preferred)

Experience Requirements:

• Experience designing and/or teaching technical courses online or offline

• Industry experience as a data scientist, machine learning engineer, or similar (preferred)

Other Requirements:

• Technical background in math, data science, and programming

• Knowledge of instructional design best practices

• Excellent communication skills

• Team player

Responsibilities:

• Convert SME's vision into effective learning content

• Review and provide feedback on technical content

• Ensure high content quality and good pedagogy

Benefits:

• Competitive compensation package

• Monthly education stipend

• Flexible PTO

Education Requirements:

• Graduate degree (Master's or PhD) in STEM or equivalent industry experience

• PhD in Math, Data Science, Computer Science, or related field (preferred)

Experience Requirements:

• Experience designing and/or teaching technical courses online or offline

• Industry experience as a data scientist, machine learning engineer, or similar (preferred)

Other Requirements:

• Technical background in math and programming

• Excellent communication skills

• Team player

Responsibilities:

• Convert SME's vision into effective learning content

• Review and provide feedback on technical content

• Ensure high content quality and good pedagogy

Benefits:

• Competitive salary ($130,000 - $160,000)

• Comprehensive benefits package

• Monthly education stipend

• Flexible PTO

Education Requirements:

• Graduate degree (Master's or PhD) in Computer Science, Artificial Intelligence, Data Science, or related STEM area, or equivalent industry experience

Experience Requirements:

• In-depth knowledge of instructional design best practices

• Experience designing, structuring, and teaching technical courses

Other Requirements:

• Technical background in math and programming

• Excellent communication and team player skills

• Familiarity with prompting and GenAI tools

Responsibilities:

• Co-create AI/ML courses

• Guide SMEs through course creation process

• Ensure high content quality

• Develop independent perspective on course material

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Experience Requirements:

• 3+ years demonstrable experience building and shipping technology products and managing it through the entire life cycle

• strong fundamentals in product, UX, business thinking

• strong analytical skills and ability to work in a hypothesis and experiment driven environment

• comfortable with uncertainty as well as evolving requirements as we learn more about market needs

• ability to be creative in a fast-paced environment

Other Requirements:

• excellent communication skills to make complex topics accessible

• well acquainted with machine learning, NLP, speech recognition technologies

• fluent in written and oral English

Responsibilities:

• do market research, get insights from current, potential customers and internal stakeholders for defining new solutions

• build the product strategy and roadmap

• prioritizing features and experiments

• coordinate execution of new solutions with the development team

• collaborate regularly with Sales team, Customer Success team and internal stakeholders

Benefits:

• Market-conform salary

• Fast-growing and innovative work environment

• Driven team and no-nonsense culture

• Friendly and inclusive atmosphere

Education Requirements:

• Bachelor or Master's degree in relevant field (BIM, Technische Bedrijfskunde, etc.)

Other Requirements:

• 16-24 hours per week available

• Entrepreneurial and proactive attitude

• Experience with Python

• Passion for software and data

Responsibilities:

• Support the Product team with operational tasks

• Conduct market research

• Analyze user feedback

• Maintain product documentation

• Improve processes

Benefits:

• Career Growth

• Remote-First

• Unlimited PTO

• Health benefits (medical, dental, vision)

• Paid family leave

Education Requirements:

• Bachelor’s Degree in Engineering, Business, Design, Psychology, or equivalent

Experience Requirements:

• 1 year of product management experience in SaaS with a proven track record

• Ability to apply user insights, data, and statistical analyses to inform decisions

• Demonstrated ability to be resourceful, curious, and innovative

• Experience leading projects and teams

Responsibilities:

• Work with executive leadership to drive product strategy for a critical team in the Growth Area

• Perform qualitative and quantitative research to explore and validate features leveraging mix-pannel and other analytics tools

• Work closely with design and front-end team

• Work with engineers to help guide feature development

• Perform experiment analysis on features and find opportunities for optimization

Benefits:

• Competitive salary and benefits package

• Opportunity to work with cutting-edge AI and Deep Learning technologies

• Professional development and growth opportunities

• Collaborative and innovative work environment

Experience Requirements:

• 5+ years of experience, preferably in SAAS enterprise product delivery to large enterprises

• Strong project management skills with a track record of successful enterprise project delivery

• Excellent customer-facing and communication skills

• Basic technical ability to create demos and understand various components of enterprise deliverables

• Experience in coordinating with cross-functional teams and stakeholders

Other Requirements:

• Strong problem-solving and analytical skills

• Ability to work independently and as part of a team

• Excellent time management and organizational skills

• Adaptability to changing priorities and deadlines

• Passion for technology and innovation

Responsibilities:

• Manage marquee customer deliverables, maintaining exceptional relationships and going above and beyond to delight clients

• Coordinate with various teams and technical stakeholders to ensure timely execution of all deliverables

• Demonstrate strong project management capabilities to meet enterprise customer deadlines

• Engage in customer-facing conversations, showcasing excellent communication skills

• Develop a deep understanding of our products and the technical components

Benefits:

• Stay flexible

• Grow with us

• Keep the balance

• Diversity and Inclusion

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