Benefits:

• Remote/Hybrid Work

• Well Being

• Paid PTO

• Health Care/ Retirement Benefit

Education Requirements:

• Bachelor’s degree in Law or related field; Master’s degree preferred

Experience Requirements:

• A minimum of five years of experience in a privacy-focused role, with substantial exposure to the sectors we serve

Responsibilities:

• Ensure all our products and services comply with international and domestic privacy and data protection laws.

• Collaborate with our product team to design and implement state-of-the-art data privacy tools.

• Lead strategic privacy initiatives, providing direction and insight that propel our privacy framework forward.

• Collaborate with cross-functional teams to integrate privacy by design into new and existing products.

• Monitor industry trends and adjust strategies to mitigate risks associated with data privacy

Benefits:

• Do real research with deep generative models of audio in a small, scientifically-minded team

• Freedom to try out ideas of your own

• There might be publication opportunities

Education Requirements:

• Degree in computer science or a similar degree

Experience Requirements:

• 2+ years experience

Other Requirements:

• Have advanced knowledge in relevant areas of mathematics and statistics

• Have a working knowledge of various techniques, tricks, and best practices for designing deep nets, hyperparameter optimization, visualization, interpretation, etc.

• Have a bunch of failure stories about the deep learning projects you’ve been involved in (and some success stories)

• Have a good understanding of deep generative models. You may work on autoregressive models, GANs, VAEs, or flow-based models.

• Speak Polish fluently

Responsibilities:

• Implement and maintain deep learning models in PyTorch

• Train models, keep track of performance, and tune hyperparameters

• Proactively read relevant literature and generate ideas for model enhancements

Experience Requirements:

• 2+ years experience

Other Requirements:

• Be a confident user of DAW

• Speak English at Intermediate (or higher) level and have good comprehension of spoken English

• Pay attention to detail and an analytical approach to analyzing audio materials

• Be able to listen to audio materials for extended periods

• Have basic knowledge of Linux and the command line, or a strong desire to learn

• Be able to work both in a team and independently

Responsibilities:

• Analyzing and structuring audio data and datasets

• Experimenting with audio processing, dataset design, and AI model configurations

• Working with AI models

• Carefully processing AI model training results and selecting the best outputs

• Post-processing of synthesized audio

Benefits:

• Unlimited leave

• Freedom to choose your own hours

Education Requirements:

• A degree in any discipline or sufficient experience

Experience Requirements:

• 3-5 Years’ experience in a similar role

Other Requirements:

• You are a talker, a doer, and an organiser whilst being the face of our workspace and owning your role

• We need an energetic, efficient person to help us do the job!

• You are confident and will often be the first point of contact to important visitors

• You will need to be a brand ambassador, exhibiting initiative and excellent interpersonal and organisational skills in everything that you do

• English skills would be a major advantage

Responsibilities:

• Manage and coordinate the Engineering Leaderships calendar, scheduling appointments, and ensuring timely and efficient use of their time

• Act as a primary point of contact between the Engineering Leadership team and internal/external stakeholders, demonstrating professionalism and discretion

• Prepare and organize materials for meetings, presentations, and reports, ensuring accuracy and attention to detail

• Handle confidential information with the utmost discretion and maintain confidentiality in all interactions

• Coordinate travel arrangements, itineraries, and logistics for the Engineering Leaderships business engagements

Benefits:

• Unlimited leave

• Freedom to choose your own hours

Education Requirements:

• A degree in any discipline or sufficient experience

Experience Requirements:

• 3-5 Years’ experience in a similar role

Other Requirements:

• You are a talker, a doer, and an organiser whilst being the face of our workspace and owning your role

• We need an energetic, efficient person to help us do the job!

• You are confident and will often be the first point of contact to important visitors

• You will need to be a brand ambassador, exhibiting initiative and excellent interpersonal and organisational skills in everything that you do

• English skills would be a major advantage

Responsibilities:

• Manage and coordinate the Engineering Leaderships calendar, scheduling appointments, and ensuring timely and efficient use of their time

• Act as a primary point of contact between the Engineering Leadership team and internal/external stakeholders, demonstrating professionalism and discretion

• Prepare and organize materials for meetings, presentations, and reports, ensuring accuracy and attention to detail

• Handle confidential information with the utmost discretion and maintain confidentiality in all interactions

• Coordinate travel arrangements, itineraries, and logistics for the Engineering Leaderships business engagements

Experience Requirements:

• Minimum of 3 years of experience in IT administration

Other Requirements:

• Proficient in Microsoft Windows, Linux and other operating systems

• Experience with cloud-based technologies such as Microsoft Azure, Google Workspace etc

• Excellent problem-solving and analytical skills

• Strong communication and interpersonal skills

• Ability to work well under pressure and handle multiple tasks

Responsibilities:

• Install, configure, and maintain computer hardware, operating systems, and software applications

• Monitor system performance, troubleshoot issues, and perform regular maintenance tasks

• Manage user accounts, permissions, and access rights within the organization's network and systems

• Ensure system backups are performed regularly and data recovery procedures are in place

• Maintain and manage the organization's local area network (LAN), wide area network (WAN), and internet connections

Benefits:

• Unlimited leave

• Freedom to choose your own hours

Other Requirements:

• A blend of curiosity, analytical thinking, creativity, adaptability, and a relentlessness to drive projects to completion

• Proactive, solutions-first thinker who is action-oriented and continuously seeks process improvements

• Ability to work in a fast-paced environment with evolving priorities while staying flexible, organized, and humble along the way

• Demonstrated experience interacting with C-suite Executives, Board of Directors, investors, and various stakeholders

• Excellent communication and interpersonal skills, and the ability to give timely and meaningful counsel to senior management

• An exceptional client list with established relationships is essential

Responsibilities:

• Build a strong understanding of AI/ML technology and related industry developments

• Define and deploy AI/ML campaigns and work with product and dev teams to implement them

• Identify opportunities, driving AI technology innovations and building strong relationships

• Lead cross-functional teams to formulate, negotiate, and execute key partnership deals

• Hands-on sales leader (“player-coach”) who will manage their own deals as well as hiring and onboarding others

Benefits:

• Unlimited leave

• Freedom to choose your own hours

Experience Requirements:

• Proven work experience within human resources

Other Requirements:

• Meticulous attention to detail and strong organisational skills

• Familiarity with labour law in the UAE and Saudi

• Impeccable ability to analyse data

• Knowledge of performance management tools

• Excellent verbal and written communication skills

• A keen understanding of the differences between various roles within organizations

Responsibilities:

• Provide insights and well thought out recommendations for day-to-day operational improvement

• Identify company employee performance and development goals

• Create and oversee the implementation of the procedures that support and enhance employee performance as per nybl’s objectives

• Provide managers with insightful training practices to reach the established performance target goals

• Determine and resolve workplace issues that prevent optimal performance

Education Requirements:

• BS or MS in Petroleum Engineering, Chemical Engineering, Mechanical Engineering, or any other related discipline

Experience Requirements:

• Strong background in petroleum engineering with experience on Electrical Submersible Pumps

• Experience with software development and product ownership is valued

• Experience with artificial lift design, diagnosis, and optimization for ESPs, SRPs

• Experience in machine learning, data analytics, deep learning, system modeling, and control systems is beneficial

• Working knowledge of commercial well testing, and nodal analysis software packages

Other Requirements:

• Strong analytical skills and sound business awareness

• Proficiency in Excel VBA preferred but some programming experience in other languages will help

Responsibilities:

• Design and implement scalable algorithms in a team environment

• Define specifications for productization and deployment

• Calibrate existing algorithms for various hardware configurations and nybl applications

• Self-identifies, troubleshoots and resolves issues found within product software

• Independent analysis based on digital oilfield practices and technologies for field development planning and production optimization

Benefits:

• Comprehensive healthcare coverage

• Stock options

• Employer-paid life insurance and disability

• Flexible time off

• Robust parental leave

Benefits:

• 0.1% - 0.5%

Experience Requirements:

• 3+ years

Benefits:

• 0.15% - 0.75%

Experience Requirements:

• 3+ years

Benefits:

• Comprehensive health, dental & vision plans

• Flexible paid time off

• 401K plans

• Remote-friendly

• Commuter benefits

Experience Requirements:

• 3+ years SaaS sales experience

Other Requirements:

• Familiarity or willingness to learn sales technologies to find and attract prospects

• Worked with customers and have conducted customer renewals

• Self-starter and comfortable working in limited process environments

• Full-cycle customer experience and ability to navigate the complexities of customer health

• Fast-paced and focused on helping customers

• Ability to demo the Arize platform to showcase the product to customers

• Team player

• Strong communication skills

• Strong account management skillset

• Great organizational skill set and ability to manage multiple customers at once

• Familiar with SaaS negotiations and contracts

Responsibilities:

• Manage customer relationships and foster adoption and growth of Arize

• Handle renewal contracts and upsells directly with customers

• Build relationships with AI/ML users and grow/foster customer adoption

• Manage an account plan and align the Arize team on how to best drive client health

• Identify areas of growth and upsell opportunities in account base Demonstrate the product’s capabilities and identify opportunities for training customers Work closely with the Customer Success Engineering team to advise on technical best practices and ensure customer accounts are healthy Conduct discovery with customers and share the Arize vision Prospect wider into customer accounts to drive more adoption Manage customer feature requests and ensure they are relayed to the team in a timely manner Ensure support is aligned with customer requests Manage and navigate internal / external stakeholders to ensure success Understand use cases, scope licensing and find more workloads

Benefits:

• Comprehensive health, dental & vision plans

• Flexible paid time off

• 401K plans

• Remote-friendly

• Commuter benefits

Other Requirements:

• Taking ownership of complex problems from day one

• Putting in the extra effort to learn new technologies rapidly

• Pushing yourself outside your comfort zone regularly

• Maintain high standards of code quality despite being new to the industry

• Think critically about system and product design rather than just following instructions

Responsibilities:

• You will be a part of the core team that drives AI product innovation at Arize.

• You will be challenged with understanding how some of the most impactful engineering teams are developing AI and LLM-powered applications, and how to build the right tools to enable them to do their best work.

• Our product solutions range from clean APIs that magically instrument applications, interactive playgrounds for prompt engineering and agent development, or scaling up real-time evaluation infrastructure to handle millions of annotations per second.

• Most of our code is written in Go, but we also work with Python, Java, and TypeScript.

• Computing model evaluation metrics across billions of data points Creating AI Agents that help customer troubleshoot their own applications Building on top of a cutting-edge custom OLAP database. Implementing advanced dimensionality reduction techniques Building systems that handle millions of annotations per second

Benefits:

• Comprehensive health, dental & vision plans

• Flexible paid time off

• 401K plans

• Remote-friendly

• Commuter benefits

Experience Requirements:

• 1. Shipped web applications or completely new product features from scratch.

• 2. Shipped AI/LLM-native applications - from UX to core algorithms.

• 3. Iterated rapidly with customers - translate user feedback into features back to proactive user discovery.

• 4. Worked with product and design, and also demonstrated instances of wearing the PM hat yourself to proactively scope and design features.

• 5. Shipped applications that scaled to millions of users. 6. [Bonus] machine learning experience

Other Requirements:

• Integrity, Alignment, and Passion

• Adaptability and the ability to work with limited resources

• Intellectual Horsepower (Smart x Get Things Done)

• Level up the people around you

• Domain specific knowledge

Responsibilities:

• [Primary] Front-end/full-stack work for our OSS offering.

• [Secondary] General feature development, maintenance, and education for our open-source libraries (Python and Typescript)

Benefits:

• Comprehensive health, dental & vision plans

• Flexible paid time off

• 401K plans

• Remote-friendly

• Commuter benefits

Experience Requirements:

• 5+ years of experience working with high-performance backend systems

• Strong experience writing Go, Python, TypeScript/Node, Java, or similar server programming languages

• Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies

• Previous work building and operating highly complex SaaS platforms/systems

• Knowledge of working with public clouds & container orchestration - AWS, GCP, Azure, Kubernetes, etc

Other Requirements:

• Experience with distributed stream processing - Kafka, Gazette, or similar

• Experience with OLAP systems

• Familiarity with system observability tooling like Prometheus

• Working knowledge of Machine Learning and/or Data Science

• First-hand experience working with large language models (LLMs) or developing AI products

Responsibilities:

• Write maintainable, scalable, and performant backend code primarily in Go, Java, and Python, with opportunities to work in TypeScript

• Build high-volume and highly available analytics systems

• Design and build APIs specific to our customers’ Machine Learning and LLM workflows

• Prototype, optimize, and maintain scalable backend services that power the Arize core platform

• Extend, and contribute back to, open source OLAP databases and distributed message queue frameworks

Benefits:

• Comprehensive health, dental & vision plans

• Flexible paid time off

• 401K plans

• Remote-friendly

• Commuter benefits

Experience Requirements:

• 5+ years of frontend experience working on external user-facing UI’s - preferably in React and Typescript

• Previous experience debugging complex systems in a team environment

• Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies

• Previous work building and operating highly complex, high-volume SaaS platforms/systems

• Strong sense of product ownership in order to push features over the line

Other Requirements:

• Passion for creating beautiful UX design with the end user in mind

• A good teammate, someone who sees supporting their team as a core part of the job

• Experience working with GraphQl or a comparable API technology

• Experience working with ML, analytics, data science or data visualization products

• Working knowledge of Machine Learning and/or Data Science

• First-hand experience working with large language models (LLMs) or developing AI products

Responsibilities:

• Write maintainable, scalable, and performant code across the stack primarily in Typescript and React with opportunities to work in Python and Go

• Design and build APIs, and domain / object models specific to our customers’ Machine Learning and LLM workflows

• Design and build out performant and reusable react components that will be used throughout the application

• Research and implement cutting-edge visualization & dimensionality reduction algorithms in a distributed environment

• Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings

Benefits:

• Comprehensive health, dental & vision plans

• Flexible paid time off

• 401K plans

• Remote-friendly

• Commuter benefits

Experience Requirements:

• 5+ years of partnership, alliances, enterprise or channel sales experience

Other Requirements:

• Experience and relationships with major System Integrators and/or Hyperscalers

• Track record of consistent quota attainment or over achievement

• Strong understanding of driving pipeline and creating sales opportunities

• Self-starter and comfortable working in limited process environments

• Desire to create and build a new playbook on how to maximize partnerships

• Fast-paced and focused on building out our channel partnerships

• Team player

• Strong communication and project management skills

• Strong ability to create lasting relationships across multiple partnerships

Responsibilities:

• Own a partner sales number in partnership with sales team

• Opportunity to mold the partnership ecosystem of Arize

• Drive Arize awareness across strategic partnerships

• Be a networker, seller, partner and closer

• Build relationships with system integrators (SI) and hyperscalers

Benefits:

• Comprehensive health, dental & vision plans

• Flexible paid time off

• 401K plans

• Remote-friendly

• Commuter benefits

Benefits:

• Comprehensive health, dental & vision plans

• Flexible paid time off

• 401K plans

• Remote-friendly

• Commuter benefits