Benefits:

• Competitive salary with a variable incentive (SAR) on top

• Excellent benefits package

• Fantastic team events

• Public transport card

• Opportunity to directly impact sustainability and energy transition

Education Requirements:

• BSc, MSc or higher, in a relevant engineering discipline (e.g. mechanical, energy, aeronautics, etc)

Experience Requirements:

• 0-3 years of working experience in energy/analytics, preferably in a client-facing role

Other Requirements:

• Proactive and pragmatic problem-solver with a passion for analytics

• Fluency in English and Dutch preferred. Other languages an asset

• Effective collaborator and strong client engagement capabilities

• Comfortable with ambiguity and changing scope

• You know how to communicate about risks and uncertainties

• You're able to ask for help and signal delays early

• Strong personal developer, open to feedback, embracing opportunities to grow

Responsibilities:

• Support customer projects and work directly with clients to onboard their heating networks or execute specialized heating and analytics consulting projects

• Perform data analysis

• Prototype new product functionalities

• Prepare workshops and customer interviews

• Validate customer information and work with other departments in Gradyent

Benefits:

• Competitive salary with a variable incentive (SAR) on top

• Excellent benefits

• Direct impact on sustainability and energy transition

• Work together with a talented team to build a modern, scaling piece of software

• High speed scale-up environment; high performance, while having fun

Education Requirements:

• BSc/MSc in computer science or equivalent on-the-job experience

Experience Requirements:

• 5+ years experience in Python software development

Other Requirements:

• Familiarity with AWS and REST API

• Team player

• High degree of ownership and strong intrinsic drive

• Understanding databases and SQL

• Attention to detail, structured way of working

• Pandas, numpy, matplotlib, numba, scikit-learn shouldn’t surprise you

• Knowledge of thermodynamics and/or machine learning is a plus but not required

Responsibilities:

• Designing and implementing new functionalities

• Refactoring for maintainability, performance, and scalability

• Suggesting and implementing software enhancements

• Writing scalable and efficient code where performance is key

• Managing and improving test automation

Benefits:

• Competitive salary with a variable incentive (SAR) on top

• Excellent benefits

• Direct impact on sustainability and energy transition

• Work together with a talented team to build a profitable, scaling business, while having fun

• We care about your personal growth – the team is highly capable at coaching, mentoring and development, fully focused on you

Education Requirements:

• BSc, MSc or higher, with an affinity to technology and analytics

• Education in engineering, data analytics, mathematics, econometrics, or computer science provides a decisive edge

Experience Requirements:

• 5+ years of experience in energy, engineering and/or analytics in a client-facing role

Other Requirements:

• Solid background in engineering, IT, client management and/or project management is preferred

• Proactive and pragmatic problem solver with solid client engagement experience

• Solid experience in effectively leading, collaborating and teaming with multiple teams in different settings

• Comfortable communicating risks and uncertainties: can ask for help and signal delays early

• Comfortable with ambiguity and changing scope

• Native or fluent in Dutch both in speaking and writing - preferred

Responsibilities:

• Lead projects in which we onboard the district heating networks of our clients to our Digital Twin platform

• Take end-to-end responsibility in leading and executing specialized heating and analytics consulting projects

• Work with the biggest energy companies in Europe (and beyond) to support the decarbonisation journey of their district heating and power business

• Utilise our Digital Twin solution to bring actionable insights to the client

• Lead multiple teams of high-calibre data scientists and engineers daily and coordinate the contribution of expert members from other departments within Gradyent

Benefits:

• Competitive salary with a variable incentive on top

• Excellent benefits package

• Fantastic team events

• Flexible work locations, either hybrid from Rotterdam and Berlin or remote from the Nordics

Education Requirements:

• BSc, MSc or higher, in a pertinent engineering discipline (e.g. mechanical, energy, industrial, etc)

Experience Requirements:

• 0-3 years of working experience in energy/analytics, preferably in a client-facing role

Other Requirements:

• Proactive and pragmatic problem-solver with a passion for analytics

• Effective collaborator and strong client engagement capabilities

• Comfortable with ambiguity and changing scope

• You know how to communicate about risks and uncertainties

• You're able to ask for help and signal delays early

• Strong personal developer, open to feedback, embracing opportunities to grow

• You live in either Netherlands or Scandinavia (but we are also open to candidates living in the rest of the European Union.)

• Proficiency in either Danish, Swedish, or Finnish is required for this role - either native or fluent

Responsibilities:

• Support customer projects and work directly with clients to onboard their heating networks or execute specialized heating and analytics consulting projects

• Perform data analysis

• Prototype new product functionalities

• Prepare workshops and customer interviews

• Validate customer information and work with other departments in Gradyent

Benefits:

• Being part of a very ambitious scale-up phase

• The chance to have a direct impact on sustainability and energy transition

• An international, inspiring environment of brilliant, fun, creative professionals. A fast, dynamic and high-performance culture open to new ideas and full of learning opportunities.

• Team lunches at our Rotterdam headquarters and the possibility to work from home a few days a week

• A competitive salary with a variable incentive (SAR) on top

Education Requirements:

• BSc, MSc or higher, preferably in a relevant engineering discipline (e.g. mechanical, energy, industrial, etc)

Experience Requirements:

• 0-5 years of working experience in energy/analytics, preferably in a client-facing role

Other Requirements:

• Experience with or knowledge about industrial heating systems or large-scale energy management

• Proactive and pragmatic problem-solver with a passion for analytics

• Effective collaborator and strong client engagement capabilities

• Comfortable with ambiguity and changing scope

• You know how to communicate about risks and uncertainties

• You're able to ask for help and signal delays early

• Strong personal developer, open to feedback, embracing opportunities to grow

Responsibilities:

• Support customer projects and work directly with clients to onboard their industrial systems to increase efficiency and reduce heat lost

• Perform data analysis

• Prototype new product functionalities

• Prepare workshops, customer interviews

• Validate customer information, and work with other departments in Gradyent

Benefits:

• Competitive salary with a variable incentive (SAR) on top

• Excellent benefits package

• Fantastic team events

• Full flexibility of working location

Education Requirements:

• BSc/MSc in applied physics, mathematics, mechanical engineering, computer science or equivalent

Experience Requirements:

• 5-8 years of experience in similar role

Other Requirements:

• Expertise in Python software development and software engineering principles. At least 5 years of hands on experience

• Team player

• High degree of ownership and strong intrinsic drive

• Experience with Git

• Knowledge of fluid dynamics and thermodynamics

• Knowledge of simulation, control systems, parameter estimation, and/or optimization

• Knowledge of machine learning and ML OPS

• Familiarity with GIS data and QGIS

Responsibilities:

• Understanding the hydraulical and thermodynamical behaviour of heating systems

• Writing scalable and efficient Python code where performance is key

• Using and extending our digital twin software in state-of-the-art projects

• Research and development of new experimental digital twin features

• Collaborating with software engineers and solution engineers

Benefits:

• Competitive salary with a variable incentive (SAR) on top

• Excellent benefits

• Direct impact on sustainability and energy transition

• Work together with a talented team to build a profitable, scaling business, while having fun

• We care about your personal growth – the team is highly capable at coaching, mentoring and development, fully focused on you

Education Requirements:

• BSc, MSc or higher, with an affinity to technology and analytics. Education in engineering, data analytics, mathematics, econometrics, or computer science provides a decisive edge

Experience Requirements:

• 5+ years of experience in energy, engineering and/or analytics in a client-facing role

Other Requirements:

• Solid background in engineering, IT, client management and/or project management is preferred

• Proactive and pragmatic problem solver with solid client engagement experience

• Solid experience in effectively leading, collaborating and teaming with multiple teams in different settings

• Comfortable communicating risks and uncertainties: can ask for help and signal delays early

• Comfortable with ambiguity and changing scope

• Fluency in other languages a plus

Responsibilities:

• Lead projects in which we onboard the industrial networks of our clients to our Digital Twin platform

• Take end-to-end responsibility in leading and executing specialized heating and analytics consulting projects

• Work with the largest industrial companies in Europe (and beyond) to support their decarbonisation journey

• Utilise our Digital Twin solution to bring actionable insights to the client

• Lead multiple teams of high-calibre data scientists and engineers daily and coordinate the contribution of expert members from other departments within Gradyent

Benefits:

• Competitive salary and benefits package, including a variable incentive (SAR)

• A great scale-up dynamic with a high-performance culture while having fun (drinks, offsites, sports events)

• The possibility to work from home a few days a week and flexible hybrid work locations in Rotterdam and Berlin

• Opportunities to shape your path in a fast-growing team; we invest in your personal growth

Education Requirements:

• BSc or MSc in Science, Business Administration, Marketing, or Engineering

Experience Requirements:

• 7+ years relevant hands-on B2B marketing experience of which 2+ years in a company related to Industry

Other Requirements:

• Drive to understand the needs of (future) customers, collaborate with business development and product teams, and create content and campaigns addressing those needs

• Solid experience with LinkedIn, ABM, CRM, and writing compelling copy

• Based in the Netherlands or Berlin, or willing to relocate within 6 months

• Native or business fluent in English. A good command of German is a big plus

• Positive, dynamic, high-energy, and flexible personality with the ability to cope with changing scopes and solid problem-solving skills

• Proactive, entrepreneurial, and results-oriented attitude with a great sense of ownership

• Able to work independently while aligning with the broader team on goals and expectations. Open to giving and receiving feedback

• Able to maintain a high quality of work while keeping speed. You aim for clear goals and strategies but are geared toward action

Responsibilities:

• Develop marketing and communication plans for our Digital Twin solution for the industrial customer segment

• Stay up to date on the latest market trends and events in the industrial heating sector

• Develop buyer personas, segments, value propositions, informational needs of our customers

• Select the right content available for your market, and identify gaps where we need to create new content

• Create appealing content, such as articles, videos, whitepapers, customer stories, LinkedIn posts, and webinars

Benefits:

• A very ambitious scale-up: just raised Series A from an international consortium of investors in the sustainable energy industry and on the path towards Series B

• The opportunity to directly impact sustainability and the energy transition

• A competitive salary with a variable incentive on top

• An excellent benefits package and fantastic team events

• A great scale-up dynamic with a high-performance culture while having fun (drinks, offsites, sports events)

Education Requirements:

• Bachelor's degree or higher in either Computer Science, Information Technology, or a relevant engineering discipline

Experience Requirements:

• 2+ Proven experience in an integration engineering or similar role

Other Requirements:

• Strong knowledge of integration technologies and tools (e.g., REST, SOAP, ESB, ETL)

• Proficiency in programming languages (e.g., Python)

• Familiarity with cloud platforms (e.g., AWS)

• Customer-facing experience and strong interpersonal skills

• Experience with microservices architecture and containerization (e.g., Docker)

• Knowledge of data integration and ETL

• Excellent problem-solving and analytical skills

• Strong communication and teamwork abilities

• Ability to work in a fast-paced and dynamic environment

• Relevant certifications a plus

Responsibilities:

• Design and implement integration solutions to connect different systems and applications, both internally and with customer systems

• Develop and maintain APIs, middleware, and other integration components

• Collaborate with development, operations, and business teams to understand integration requirements

• Work directly with customers to implement communication protocols and ensure successful integration

Benefits:

• A market-related salary * Salary: €50,000 per year (basic pay) * On-Target Earnings (OTE): €125,000 per year

• Option to lower basic salary in exchange for share options.

• Caring, growth-focused team culture where the company can support your personal goals.

• Flexible working hours.

• Forward-thinking leave policies.Company-sponsored lunches, travel and learning opportunities, including annual offsite to Cape Town.

Experience Requirements:

• 3 years of experience in B2B SaaS sales and/or in the insurance, consumer credit, or car finance sectors

Other Requirements:

• You are based in Amsterdam.

• You're tech-savvy and comfortable using Voyc to set up, configure, and present demos on clients' calls, with a deep understanding of our product.

• You follow established processes while also being able to think creatively.

• You’re both tactical and creative in your approach to sales strategy, able to join the dots and add value in follow-ups. You can create urgency from thin air.

• You possess sales charisma and have strong active listening skills, allowing you to read between the lines, especially in the high-context UK market.

• You have a strong focus on understanding customer pain points and tailoring your communication to address those specific needs.

• You’re driven and persistent, with a strong motivation to excel in all aspects of the sales process, from email sequences, calls to LinkedIn outreach, doing whatever it takes to close deals.

• You enjoy reaching inbox zero by the end of the week, are comfortable managing over 100 emails per day, and are prompt in sending follow-ups within 24 hours of discovery calls and demos.

• You are capable and comfortable with the idea of traveling to the UK or other countries for prospect visits, events, and awards dinners.

Responsibilities:

• Use outbound prospecting on Linkedin and Hubspot to generate monthly leads in our ICP (UK insurance, consumer credit, or car finance brokers/lenders with 30-300 Employees with 10+ Agents/Advisors).

• Collaborate with our marketing team to write and send personalised messaging for key accounts (ABM)

• Book and complete a minimum of 10 Discovery Calls (SQLs) per month

• In addition, complete another 20 regular Discovery Calls booked by our SDR team.

• Complete a combined 30 monthly Discovery Calls and qualify BANT (Budget, Authority, Need, Timeline).Set up and complete 10 monthly Demonstrations using clients' call recordings and quality frameworks to demonstrate ROI.Get any mix of key decision-makers (Managing Director/COO/Head of Operations/Head of Compliance/Head of Quality Assurance/Head of IT) to attend the demonstration.Design demo presentation slides showcasing that we've understood their problems and positioning Voyc as the perfect solution.Send out and negotiate annual contracts each month, including cellphone-based negotiations with buyers.Before the end of the week, update deal stages, deal values, and close dates in the CRM. Ensure all activities are logged.Close a minimum of four deals in the ICP per monthFilm a brief Loom video explaining who the new client is and why they purchased it, and ensure context is transferred to the Implementation team.Send an email to the client introducing their dedicated implementation manager and ensuring the kick-off call is scheduled.Log product ideas and share insights with the product team to influence the roadmap.Share detailed field information on competitors, as gathered in your interactions with customers, allowing our Marketing team to constantly update our competitive overviews.Attend all onboarding and configuration calls during the three month Implementation and Validation phase and ensure 100% of your clients successfully move into production.Contact the economic buyer once a month to see if they have any concerns and ensure they attend the QBRs

Education Requirements:

• M.A.

• M.Sc

Experience Requirements:

• At least 8 years of practical experience as a researcher with significant business experience

• At least 5 years of experience managing highly qualified Data Scientists/Analytics professionals

Other Requirements:

• Expertise in a wide range of machine learning/statistical/data analysis and state-of-the-art algorithms & applications

• Experience in working with external data sources, real-time data & processing big data covering both structured and unstructured data

• Practical experience in addressing real-world business problems. (e.g., pricing, product personalization, event detection, etc.)

• Experience building end-to-end analytical solutions in financial services or other relevant industries (e.g., retail, web marketing, cyber, etc.)

• Proficiency in Python and Scala

• Strong technical and technological background with good familiarity with a wide range of ML /AI & Big data tools/solutions/platforms with a particular interest in open-source solutions/tools (e.g., AWS Sagemaker, MLOps tools, etc.)

• Sufficient mathematical background for reading applied academic papers

• Strong verbal & written English communication skills

Responsibilities:

• Lead a team of data scientists and engineers

• Build and grow the Earnix Labs program

• Have an impact on the Earnix products

Experience Requirements:

• 3+ years of strong background in software development using Python and Java as a strong advantage

• Previous experience in a Data science environment

• Background with statistics and optimizations

Other Requirements:

• MLOps as a strong advantage, knowledge and experience deploying machine learning models in production environments

• An understanding of web development concepts

• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform – an advantage

• Familiarity with containerization technologies such as Docker and Kubernetes – an advantage

• Experience with data engineering, data pipelines, and data processing – an advantage

Responsibilities:

• Play a key role in taking complex machine learning models and productizing them

Experience Requirements:

• 3 years experience in a System Architect role

• 10 years of software development experience building and designing large-scale multi-tenant systems

Other Requirements:

• Hands-on experience with one of the following: Java / Python / Nodejs - Must

• Proficient with high-load systems and microservice-based architectures - Must

• Experience with cloud providers, particularly AWS or GCP

• Experience with containers and serverless technologies - Must

• Experience with security requirements and implementation

• Fluent in English and Hebrew, both written and verbal

• Ability to work autonomously and as a team player – work with multiple teams in multiple countries

Responsibilities:

• Build the product architecture together with all R&D teams– interfaces, technology stack, deployment flowchart, and architecture process

• Provide technical and methodology guidance to the teams

• Be able to reduce complex problems into manageable pieces, define their interactions and communicate these concepts to all

• Maintain a good cross-relationship

• Understand and have an impact on integration processes

Education Requirements:

• M.Sc.

• PhD

Experience Requirements:

• 3+ years experience in applied research up to production code level in Machine Learning / Deep Learning, focusing on NLP

Other Requirements:

• Good understanding of DNNs and experience with PyTorch / TF / other platforms

• Experience in finetuning and evaluating LLMs - advantage

• Team player with excellent communication skills

• Proficient in Python development

• Self-learner and excited about new domains

Responsibilities:

• Work together with the product team to establish research problem, criteria for success, and convert these into measurable goals and objectives

• Explore existing approaches to research problems as well as develop new ones

• Conduct end-to-end data-driven research and development

Education Requirements:

• PhD

Experience Requirements:

• 5+ years experience of leading teams in speech recognition, computer vision or related deep learning field

Other Requirements:

• Experience with GenAI - an advantage

• Proven track-record in building ML-based systems used in production

• Proven track-record hiring, training, managing and retaining world-class engineers

• Solid engineering background

• Strong organizational and people management skills

• Experience working directly with product to deliver business value

• Excellent interpersonal and communications skills, good-spirited, and fun to work with hungry, driven, owner-like mind frame

Responsibilities:

• Managing the daily activities of our distributed research group

• Running an agile ML technology development and deployment process to deliver value for Verbit’s customers, provide ML-based tools that enable disruptive solutions and improving internal workflow

• Owning the strategic and tactical aspects of our IP development, balancing the short, medium and long term efforts

• Communicating effectively with product and engineering groups in order to work synergistically towards Verbit’s business goals

• Growing the team and hiring excellent machine learning engineers and researchers

Benefits:

• Option to develop your career: e.g. become a sales manager within 2-3 years

• Highly motivated, skilled, cooperative interdisciplinary and international team

• Very flexible policy for working time and home office

Education Requirements:

• Bachelor’s degree in Business, Marketing, or a related field (or equivalent experience).

Experience Requirements:

• 1-2 years of experience in sales or marketing, preferably in a technology or maritime-related industry

Other Requirements:

• Excellent verbal and written communication skills.

• Strong organizational skills and attention to detail.

• Proficiency in CRM software and Microsoft Office Suite.

• Ability to travel for trade shows and client meetings as needed

Responsibilities:

• Inbound Sales: Manage and respond to incoming leads via email, phone, and CRM, ensuring timely and effective communication.

• Outbound Sales: Identify and reach out to prospective customers through cold calls, emails, and other proactive sales strategies.

• Assist in the preparation of sales proposals, presentations, and contracts.

• Maintain an up-to-date pipeline of prospects in the CRM system and report progress to the sales team.

• Collaborate with the marketing team to execute campaigns that generate quality leads and enhance brand awareness. Monitor and analyze marketing performance metrics to inform strategy. Represent SEA.AI at industry trade shows, exhibitions, and networking events. Assist in planning and organizing event participation, including booth setup, promotional material, and lead tracking. Follow up with trade show leads to convert prospects into opportunities. Support senior sales staff in client meetings and negotiations

Benefits:

• Diversity

• Appreciation

• Equality

• Numerous training and development opportunities

• Flexible working hours (some positions)

Education Requirements:

• PhD in physics, mathematics, material sciences, electrical engineering or a related natural or technical science

• Master's/Diploma in natural sciences (e.g. Computer Science, Mathematics, Physics) or related field

• Bachelor's or Master's degree in informatics, mathematics, physics or engineering science

• currently enrolled in university scientific studies in aerospace/electrical engineering, computer science, or a comparable field

• advanced studies in Mechanical Engineering, Aerospace Engineering, Industrial Engineering, Data Sciences, or comparable programs

Experience Requirements:

• practical research experience (at least 3 years) in (Cyber) Security, e.g. through a doctorate or other demonstrable research activities

• experience in machine learning

• Experience with Front-End development

• 3D-Finite Element Modeling and Multiphysics Simulation

• extensive experience in programming a common language (Python, MATLAB, C/C++, etc.)

Other Requirements:

• good communication and cooperation skills

• proficiency in English (spoken and written)

• enthusiasm, motivation and creativity

• good expertise in object-oriented software development with C++ and Python

• previous contact with machine-learning frameworks (e.g., PyTorch, Tensorflow, Caffe, …)

• experience with image processing methods (e.g., OpenCV)

• good knowledge in creating 3D assets with Blender

• basic programming skills in Python, C++ or C#

• Initial practical experience developing applications in VR/AR environments

• Knowledge in software engineering

• Experience with Typescript or REST API

• Basic knowledge of modern cryptography, preferably with initial exposure to homomorphic encryption

• Good programming skills in languages such as Python and JavaScript

• Interest in cryptographic issues and working in security-critical areas

• Teamwork skills, independent working style, and commitment

• Fluent in German and English (spoken and written)

• very good Python skills (LangChain, Ollama, embeddings, Chroma, …)

• understanding of general aviation technology and flight operations

• knowledge and experience in the area of machine learning

• knowledge and experience in software engineering (e.g., Git, Unit Tests)

• travel readiness

• willingness for security check (if necessary)

Responsibilities:

• Development of new ML-models for pose estimation

• Evaluation of the robustness and reliability of ML-models

• Development and optimization of front-end components for managing data spaces

• Integration of interfaces for seamless data integration and presentation

• Development and implementation of user-centered UX/UI designs for data spaces

Education Requirements:

• University or research institute student

Experience Requirements:

• Basic knowledge of computer programming in Python language

• Minimum understanding of machine learning

• Illustrative GitHub account