Benefits:

• Comprehensive health package (dental and vision)

• 5 Ocrolus Appreciation Days (reset days)

• 401K plan (Betterment)

• Unlimited paid time off

• Flexible schedule & Summer Fridays off Paid parental leave (up to 3 months) Catered lunch and dinners Annual learning & development stipend Equity packages CitiBike membership

Experience Requirements:

• 5+ years of experience building software in small, high-velocity, self-directed teams

Other Requirements:

• You take ownership for the delivery and impact of your work throughout the SDLC, through design, build, test, deploy, maintenance, and support

• You have experience working with US-based engineering teams

• You are able to work online 9am to noon US-Eastern daily

• You are an effective communicator; we are a small team, and you will be involved in every aspect of projects

• You have strong competency in at least one–ideally both–of the Java programming language or Typescript/Node.js ecosystem

• You have the capacity to learn other languages and frameworks, as necessary

• You have experience with creation, deployment, and management of Docker containers

• You have experience with the creation and maintenance of CI/CD pipelines

• You are excited to learn new technologies and contribute wherever needed

Responsibilities:

• Work as part of the mabl engineering team, focused on improving the integration between mabl’s low-code, AI-native test automation platform and third-party software systems

• Upgrade and support existing integrations

• Build new integrations with third-party software that includes, but is not limited to collaboration tools, test case management (TCM) systems, CI/CD platforms, and other test frameworks

• Seek out and incorporate customer feedback continually

• Resolve customer issue escalations by implementing code fixes or identifying workarounds

Experience Requirements:

• 3+ years of experience

Other Requirements:

• Knowledge of QA/Automation testing

• Understanding of mabl, databases, mobile, performance testing, and/or general test architecture is a plus

• Proficient in the use of HTML, CSS, JavaScript, and Chrome dev tools

• Knowledge of ticketing systems such as Salesforce and Jira

• Troubleshooting web-based applications (The art of asking the right questions to arrive at a solution)

• Customer-centric attitude, with strong communication skills and technical acumen

• Deep passion for representing customers needs in product planning and design processes

• Strong analytical skills, with a bias for using data to identify trends and opportunities

• Interest in learning good test automation practices and patterns

Responsibilities:

• Research, diagnose, troubleshoot and identify solutions to resolve customer issues by following standard procedures for triaging and escalating customer issues

• Take ownership of customer issues reported and seeing problems through to resolution

• Create and evolve support and customer success processes, tools, and technologies

• Work cross functionally with other teams at mabl to improve the customer experience

Benefits:

• Be part of a forward-thinking company with an inspiring mission to connect innovation with industrial power for global transformation.

• Enjoy a fun work environment in Brussels, surrounded by passionate professionals committed to making an impact.

• Engage with top-tier corporate clients from many different industries around the world, expanding your network and expertise

Experience Requirements:

• Proven experience or a strong interest in client relationship management, preferably in B2B and tech.

• Strong communication and interpersonal skills, with the ability to connect with stakeholders at various levels and from various industries.

• Analytical mindset with the capacity to understand complex client needs and translate them into actionable plans.

• Business literacy and curiosity: a broad understanding of various sectors or the ability to quickly grasp new industries.

• Fluency in English reflecting our international client base Detail-oriented and rigorous: thoroughly prepare, fully understand client requirements, and deliver accurately and on time. Humour: we take the sense of humour very seriously

Other Requirements:

• Experience with HubSpot and skills in presentation design are a plus

Responsibilities:

• Drive client engagement by maintaining and strengthening relationships with corporate clients, ensuring their success and satisfaction with Novable's scouting solutions.

• Collaborate closely with sales and product teams to align client goals with Novable’s offerings and achieve long-term value creation for our partners.

• Perform client onboarding, conduct regular client meetings, and lead business reviews to ensure satisfaction, drive platform usage, detect upsell and cross-sell opportunities, and collect customer feedback.

• Utilize feedback loops to suggest platform enhancements, contributing to ongoing client satisfaction and product development.

• Control and validate product releases before delivery, ensuring quality and alignment with client needs, and report any bugs or issues to the relevant teams for resolution. Deliver comprehensive reports and presentations to both internal and external stakeholders, showcasing the impact of Novable’s solutions on client objectives. Co-manage a global team of scouting experts, overseeing daily interactions and the execution of scouting campaigns and innovation consulting projects

Experience Requirements:

• 2-4 years of experience in a similar role.

• Fluent in written and spoken English, with excellent grammar and communication skills.

• Creative thinker with a data-driven mindset.

• Excellent organisational skills and the ability to manage multiple projects simultaneously.

• Copywriting and design skills (experience with tools like WordPress and Canva).

Other Requirements:

• Hands-on experience with CRM tools (HubSpot) and email marketing platforms is a strong plus

Responsibilities:

• Develop engaging and on-brand content for the website, blogs, and other digital platforms.

• Create visuals, edit videos, and multimedia content.

• Plan, schedule, and manage content across all social media channels (LinkedIn,Facebook, and Twitter).

• Monitor engagement metrics and implement strategies to boost visibility and interaction.

• Stay updated with trends and leverage them to enhance brand presence. Plan, execute, and optimise paid campaigns on platforms such as Google Ads and LinkedIn Campaign Navigator. Conduct keyword research, A/B testing, and audience targeting to maximise ad performance. Monitor budgets, track ROI, and generate regular performance reports. Plan and coordinate the preparation of events (trade shows, webinars, and industry conferences). Develop pre- and post-event marketing strategies to maximise lead generation. Manage and optimise CRM tools for lead nurturing and qualification. Design and execute outbound campaigns to engage prospects and drive conversions across multiple channels. Analyse campaign performance and apply insights for continuous improvement

Experience Requirements:

• Keen interest in digital selling, conversion, funnels, measures, with a data-driven mindset.

• Knowledge of tools such as HubSpot, Lusha, Apollo, LinkedIn Sales Navigator, Google Analytics, etc. will be a strong plus.

• Open-minded, eager to learn and try out new things, while also being autonomous.

• Fun to work with! We take the sense of humour very seriously.

• Fluent in English (C1), any other language is a plus

Other Requirements:

• We'll only consider candidates located in Belgium who can regularly be in Brussels (2 days at the office is a must).

Responsibilities:

• Execute our growth hacking strategy: feed the sales team by building lists of leads through social engagement, SEO hacks, and HubSpot management

• Engage in outbound activities: Design, set up, monitor and refine email and social media outbound campaigns

• Use data & analytics to support decision-making and growth strategies.

• Creation of landing pages

Education Requirements:

• B.Tech/M.Tech in Computer Science or related fields

Experience Requirements:

• 7+ years’ Experience preferred

• 4+ years of people management experience

• 2+ years of recent full-stack development experience

Other Requirements:

• Extensive experience running teams in an agile environment

• Deep experience with the full software development life cycle

• AWS Aurora, Kafka, and MWAA experience required

• Proficient with mainstream fullstack technologies such as Java, Spring boot, RDBMS, NoSQL, ElasticSearch, Node.js, JS frameworks (React, Vue.js etc)

• Strong experience with AWS cloud technologies

• Strong Analytical skills – can ask the right questions, analyze data, concludes by making appropriate assumptions

• Organization skills – demonstrated ability to work independently to make complex investigations

• Working experience on asynchronous messaging systems like Kafka

• Strong ability in architectural design and discussion

• Proven ability to manage multiple, competing for priorities simultaneously

• Excellent communication skills to convey technical insights to a non-technical audience

Responsibilities:

• Planning, design and execution of SOA backend platforms. Mostly around REST based Web

• Build frameworks using JAVA (Spark,Spring, ORM)

• High level and Low level design of the highly scalable components

• Track defects and works with business owners and users to triage bugs and manage a backlog

• Taking care of Nonfunctional requirements like Scale/ High Availability/Performance/Security

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Linguistics, or a related field

Experience Requirements:

• 2+ years of experience in Data Science, focusing on NLP, prompt engineering, or deep learning

Other Requirements:

• Proficiency in Python and familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face)

• Strong understanding of NLP techniques and machine learning principles, including sentiment analysis, word embedding, text classification, and Transformer models (e.g., GPT, BERT)

• Experience with developing, optimizing, and evaluating prompts to improve AI model responses

• Experience with large language models (e.g., GPT-4, Llama3) and their applications in customer service or other domains

• Knowledge of data visualization tools and techniques to communicate complex data insights effectively

• Background in linguistics or computational linguistics

• Experience with agile development methodologies and big data platforms like Hadoop or Spark

• Excellent analytical, problem-solving, and communication skills

• Ability to work collaboratively in a team environment, manage multiple projects simultaneously, and document complex processes effectively

• Self-motivated with a passion for continuous learning and innovation in AI

Responsibilities:

• Prompt Engineering and Development

• Model Design and Implementation

• Benchmarking and Evaluation

• Collaboration and Communication

• Documentation and Research

Education Requirements:

• Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science or another quantitative field

Experience Requirements:

• 2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models

Other Requirements:

• Strong programming skills in Python or other relevant programming languages

• Experience with machine learning libraries such as TensorFlow, PyTorch, or Keras

• Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.

• Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques

• Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.

• Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies

• Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation

• Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development

• Strong problem-solving and analytical skills

• Excellent communication and collaboration abilities

• Optional: Experience with big data platforms such as Hadoop or Spark

Responsibilities:

• Design and implement machine learning algorithms for NLP/LLMs or deep learning models at scale to meet business requirements

• Analyze large datasets and develop models that can be used to make predictions, generate responses or summaries, identify patterns etc.

• Develop and improve existing models to increase accuracy, efficiency, and effectiveness

• Work closely with cross-functional teams to identify and prioritize business problems, and develop solutions to address them

• Communicate findings and insights to stakeholders in a clear and concise manner

Experience Requirements:

• 3+ years of experience as a data scientist, preferably in a product development environment, with a focus on building NLP/LLMs or Deep Learning models

Other Requirements:

• Strong programming skills in Python or other relevant programming languages

• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)

• Deep understanding of statistical analysis, probability theory, and experimental design

• Experience with LLMs, deep learning, NLP and chatbot development

• Excellent communication skills, including the ability to explain complex concepts to technical and non-technical stakeholders

• Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.

• Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques

• Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.

• Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies

• Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation

• Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development

• Strong problem-solving and analytical skills

• Optional: Experience with large-scale data processing technologies (e.g., Hadoop, Spark) and distributed computing systems

Responsibilities:

• Design, develop and deploy machine learning models and algorithms for NLP/LLMs or deep learning models at scale to solve complex business problems

• Work with large datasets, perform data analysis and develop data pipelines to support model development

• Collaborate with Product & Engineering teams to integrate machine learning solutions into products and services

• Conduct experiments, test hypotheses, and perform statistical analysis to validate models and drive improvements

• Communicate findings and insights to stakeholders in a clear and concise manner

Experience Requirements:

• At least 2 years in DevOps or a related field

Other Requirements:

• Kubernetes (RBAC, cluster administration, Helm)

• CI/CD tools such as Jenkins, ArgoCD, or Spinnaker

• Service mesh solutions like Istio, Linkerd, or similar

• Proficiency in scripting languages (Python, Ruby, Golang)

• Familiarity with cloud platforms (AWS, GCP, Azure)

• Strong understanding of system design, networking, and infrastructure management

• Knowledge and experience in chaos engineering tools like Chaos Monkey, LitmusChaos, or Gremlin

Responsibilities:

• Kubernetes Management

• CI/CD Pipeline Development

• Helm Templates

• Service Mesh Implementation

• Scripting and Automation

Experience Requirements:

• 5-6 years of experience in both administrative roles and technical support, specializing in Zendesk and API integrations

Other Requirements:

• Proficient in Java and HTML, enhancing technical capabilities for comprehensive support

• Proven track record of positively impacting organizations through the development and implementation of standard operating practices

• Familiarity with start-up environments, demonstrating adaptability to dynamic work settings

• Strong ability to navigate and excel in fast-paced and evolving work environments, with a specific background in technical support roles

• Deep understanding of tools like Postman/Datadog/Workato

• Good knowledge of JavaScript with the ability to identify code-level issues and rectify

• Ability to train New Hires in the team on Process, Product and Technology

• Effectively mentors multiple L1s in the context of support

Responsibilities:

• In Depth understanding of Netomi systems - AI Studio, Backend Architecture, Agent Desk Integrations

• Understanding of business requirements for our different customers and how they can be solved through AI Studio

• Participate in the software development lifecycle to learn the new system/feature

• Responsible for resolving the ticket queue through Zendesk

• Coordinating and leading troubleshooting through incident management

Education Requirements:

• Bachelor’s degree in Business, Computer Science, Engineering, or a related field. MBA is a plus

Experience Requirements:

• 4-6 years of product management experience

Other Requirements:

• Strong experience working with large enterprise clients to manage complex requirements and deliver tailored solutions

• Proven ability to lead cross-functional teams, driving LLM-powered products from ideation to delivery

• Strong project management skills, ideally with experience in agile development

• Excellent communication and presentation skills, with the ability to articulate technical concepts clearly and influence stakeholders

• Exceptional analytical and problem-solving skills, with a passion for delivering innovation

• Experience with AI, machine learning, or chatbot technologies

• Background in innovation management, with a proven passion for developing and experimenting with new ideas

• Ability to manage multiple projects simultaneously in a fast-paced environment

• Deep knowledge of Large Language Models (LLMs), natural language processing (NLP), and related AI technologies

• Hands-on experience with LLM platforms (e.g., OpenAI, GPT, BERT) and familiarity with applying these technologies in enterprise solutions

• Strong understanding of SaaS platforms, with an emphasis on AI-driven product enhancements

Responsibilities:

• Client Collaboration

• Product Strategy

• Feature Development (LLMs)

• Internal Projects

• Project Management

Experience Requirements:

• 3+ years of demonstrated experience in frontend development

Other Requirements:

• Professional experience with VueJS or another modern JavaScript web framework (React, Angular, etc)

• Experience with writing automated tests (e.g. Jest, Karma, Jasmine, Mocha)

• Experience using Git, Github, JIRA in a professional/workplace environment

• A solid understanding of core web and browser concepts (e.g. how the browser parses and constructs a web page)

• A solid understanding of semantic HTML, CSS, and core JavaScript concepts

• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational problems and propose thorough iterative solutions

• Experience with performance and optimisation problems and a demonstrated ability to both diagnose and prevent these problems

• Comfort working in a highly agile software development process

• Positive and solution-oriented mindset

• Effective communication skills: Regularly achieve consensus with peers, collaboration, and clear status updates

• An inclination towards communication, inclusion, and visibility

• Self-motivated and self-managing efficiency, with great organisational skills

• Demonstrated ability to work closely with other parts of the organisation

Responsibilities:

• Ownership of key UI modules

• Own front-end build and test systems

• Ensure the technical feasibility of UI/UX designs and implement them

• Translating designs and wireframes into high-quality code

• Building reusable components and front-end libraries for future use

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field

Experience Requirements:

• Proven 5+ years of experience as an AI Analyst or similar role with a focus on data analytics and AI integration

Other Requirements:

• Experience in developing and deploying generative AI models is an advantage

• Good understanding of Prompt writing and evaluation

• Proficiency in Python and relevant AI libraries/frameworks (e.g., TensorFlow, PyTorch)

• Strong understanding of machine learning algorithms and natural language processing

• Solid experience with SQL for data manipulation and analysis

• Strong analytical and problem-solving abilities to derive actionable insights from complex datasets

• Excellent communication skills to translate technical concepts for varied audiences

• Proven ability to work effectively in cross-functional teams, promoting innovation and continuous improvement

• Capability to thrive in a fast-paced, dynamic environment while proactively identifying AI-driven improvements in chatbot functionalities

Responsibilities:

• Requirement Analysis

• Data Exploration and Analysis

• Feasibility Assessment

• Model Selection and Design

• Implementation and Deployment

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Experience Requirements:

• Proven experience (7-9 years) as a Software Development Engineer in Test (SDET) or similar role, with a strong focus on test automation using Java

Other Requirements:

• Proficiency in Java programming language and experience with Java-based automation frameworks such as JUnit, TestNG, Selenium WebDriver, and Rest-Assured

• Minimum 2-3 years exp in performance testing and perf tools, such as JMeter, Locust, or k6, is required

• Solid understanding of software testing principles, methodologies, and best practices

• Practical experience in configuring and utilizing continuous integration/continuous deployment (CI/CD) pipelines and tools such as Jenkins

• Experience with Agile development methodologies and working in Agile teams

• Excellent problem-solving skills and attention to detail

• Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams

• Familiarity with security testing using open-source tools is an added advantage

Responsibilities:

• Lead the design, development, and implementation of automated test frameworks using Java and related technologies

• Create robust, scalable, and maintainable automated test suites to validate the functionality, performance, and reliability of our software products

• Collaborate with software engineers to ensure testability of code and incorporate automated tests into the continuous integration/continuous deployment (CI/CD) pipeline

• Mentor and provide technical guidance to junior members of the testing team, fostering a culture of quality and excellence

• Participate in requirements analysis and contribute to the creation of comprehensive test plans and test cases

Benefits:

• Competitive salary

• Full healthcare benefits

• MacBook Pro and IT budget

• Experienced colleagues

• Team building events

• Startup environment