Benefits:

• Located in the center of the city

• Competitive salary

• Incentives

• Performance bonuses

• Insurance coverage

Education Requirements:

• Master’s or Ph.D. degree in robotics, computer science, or related fields, or equivalent industry experience.

Experience Requirements:

• Practical experience using machine learning frameworks like TensorFlow, PyTorch, or JAX.

• Hands-on experience in developing, tuning, and evaluating ML models.

• Experience training and deploying reinforcement learning or imitation learning algorithms on high-degree-of-freedom robots.

Other Requirements:

• Proficiency in programming languages such as Python.

• Familiarity with GPU acceleration technologies such as CUDA, TensorRT, model quantization, and compression.

• Proficient in mainstream robot simulation tools (e.g., Isaac Sim, Mujoco, Drake, Gazebo) and their use in development workflows.

• Experience with ROS / ROS2 development or similar robotic framework.

• Practical experience in developing and deploying algorithms on high-DOF robots.

Responsibilities:

• Design, implement, and test learning-based algorithms, and deploy them on complex robots (e.g., humanoids, robotic arms, robotic hands) to perform manipulation tasks in kitchen environments.

• Design and maintain a scalable deep learning pipeline for training large-scale robotic datasets, ensuring the system is efficient, stable, and flexible.

• Collaborate with cross-functional teams to develop and continuously improve the full autonomy stack.

• Engage in cutting-edge research to bring innovative insights to the team and help solve various complex issues in deployment.

Benefits:

• Located in the center of the city

• Competitive salary

• Incentives

• Performance bonuses

• Insurance coverage

Education Requirements:

• Master’s or Ph.D. degree in robotics, computer science, or a related field, or equivalent industry experience.

Experience Requirements:

• Extensive practical experience in product-grade software and machine learning engineering, with knowledge of best practices and industry-standard development workflows.

Other Requirements:

• Domain expertise in one or more of the following areas: object detection and tracking, pose estimation, depth estimation, vSLAM, neural rendering (e.g. NeRFs or gaussian splatting).

• Understanding of modern deep learning techniques (Transformers, diffusion models, autoregressive models, multimodal models, CNN architectures, loss functions, etc.).

• Comfortable with fundamental geometric concepts in computer vision, such as perspective transformation, pinhole camera model, and epipolar geometry.

• Proficient in Python and experienced with machine learning frameworks such as TensorFlow, PyTorch, and JAX.

• Experience developing C++ and Python packages in ROS/ROS2.

Responsibilities:

• Develop novel computer vision formulations, models, and algorithms for a wide variety of tasks.

• Own the full development life cycle from data preparation to model deployment.

• Design and build data and evaluation pipelines.

• Collaborate with other teams to develop and continuously improve the full autonomy stack.

Benefits:

• Located in the center of the city

• Competitive salary

• Incentives

• Performance bonuses

• Insurance coverage

Experience Requirements:

• Backend experience with at least one framework (e.g., FastAPI, Django, Flask, Node/Express, Rails, etc.).

• Experience with relational databases (e.g., PostgreSQL, MySQL, MariaDB) and ORM libraries (e.g., SQLAlchemy, Prisma, Sequelize).

• Experience building RESTful APIs and/or GraphQL APIs.

• Hands-on product development and launch experience.

Other Requirements:

• Proficient in modern TypeScript frontend framewoks (e.g. React, Next.js, Vite).

• Familiar with basic network architecture, cyber security, and Linux systems.

• Solid software engineering skills, including TDD, unit testing, integration testing, CI/CD.

• Solid understanding of OOP, design patterns, and software architecture (e.g., UML).

• Experience with ROS/ROS2 and building front-end interfaces for ROS systems.

Responsibilities:

• Lead the development and maintenance of HMI (Human-Machine Interface) dashboards, ensuring an intuitive and responsive user experience.

• Collaborate with autonomy, robotic, and cloud teams to create a seamless interface between the SHEN NONG SHI system and its operators.

• Design and ship full-stack solutions that integrate with autonomy runtime systems.

• Optimize system performance and reliability, addressing latency, scalability, and fault tolerance.

• Maintain a secure and efficient data pipeline between edge devices and cloud services.

Benefits:

• Located in the center of the city

• Competitive salary

• Incentives

• Performance bonuses

• Insurance coverage

Education Requirements:

• Bachelor’s, Master’s, or PhD degree in Robotics, Controls, Computer Science, Mechanical, Electrical, or related fields.

Experience Requirements:

• Experience in robotics controls, kinematics, or real-time systems.

• Experience developing software packages for ROS/ROS2.

Other Requirements:

• Strong programming skills in C++ and Python.

• Familiarity with robotic systems integration and hardware/software debugging.

• Comfortable working hands-on in a fast-paced hardware lab environment.

• Experience behavior trees, or motion planning frameworks.

• Background in humanoid, legged, or high-DOF robotic systems.

Responsibilities:

• Develop and execute robot behaviors for system-level testing, bring-up, and validation.

• Write software tools and scripts (C++, Python) to support integration, test automation, and data analysis.

• Assist in debugging complex hardware-software integration issues across mechanical, electrical, and control systems.

• Analyze system-level performance data to support root cause investigations and improve robot behavior.

• Collaborate with senior engineers on validation plans that exercise the full robot under real-world conditions.

Benefits:

• Located in the center of the city

• Competitive salary

• Incentives

• Performance bonuses

• Insurance coverage

Education Requirements:

• Bachelor’s or Master’s degree in electrical engineering, electronics, mechanical engineering, or other STEM-related fields.

Experience Requirements:

• Experience in operating, developing, or maintaining automation equipment.

• Demonstrated ability to troubleshoot and resolve complex problems on-site with minimal supervision.

• Experience in fast-pace startups or the food service industry.

Other Requirements:

• Familiarity with image processing or robotic system integration.

• Excellent verbal and written communication skills, with the ability to convey technical concepts clearly to diverse audiences.

• Enthusiastic about automation and smart machinery, with a strong drive for continuous learning and self-improvement.

• Hands-on skills in mechatronics or automation system integration.

• Experience with PLC programming and application.

Responsibilities:

• Serve as the front-line technical contact for clients, assisting with application issues, implementing product solutions, and providing technical support.

• Respond to customer inquiries, testing and adjust product implementations, and offer recommendations based on specific application needs.

• Facilitate effective technical communication and coordination between internal teams and customers to ensure smooth project execution.

• Install and maintain on-site equipment; perform troubleshooting, and performance testing to ensure stable system operation.

• Support product demos and performance evaluations, and offer customized solutions based on client requirements.

Benefits:

• Located in the center of the city

• Competitive salary

• Incentives

• Performance bonuses

• Insurance coverage

Education Requirements:

• Bachelor's or Master’s degree in robotics, engineering, or related fields

Experience Requirements:

• Previous experience as a software test engineer or in related roles.

• equivalent hands-on experience

Other Requirements:

• Strong communication skills and ability to quickly comprehend and execute instructions.

• Learn new physical tasks quickly and find the optimal way to perform them.

• Fundamental understanding of technical concepts and the ability to comprehend technical documentation.

• Familiarity with test management and requirement planning tools.

Responsibilities:

• Operate robotic systems to perform designated behaviors (e.g., grasping, placing, assembly, etc.).

• Conduct teleoperation sessions and collect data under defined SOPs.

• Ensure safe, accurate, and efficient execution during robot operations.

• Troubleshoot and debug errors in complex scenarios during testing or deployments.

• Collaborate closely with engineering teams to continuously optimize data collection workflows.

Benefits:

• Located in the center of the city

• Competitive salary

• Incentives

• Performance bonuses

• Insurance coverage

Education Requirements:

• Bachelor’s degree or above in a technical field (e.g., Mechanical Engineering, Electrical Engineering, Electronics, or other STEM-related disciplines).

Experience Requirements:

• Over three years of experience in project management.

• Experienced in all stages of the hardware/software development lifecycle (e.g., build, test, release).

• Experienced working with hardware and software engineering teams in a technical environment.

• Experience in startups or the food & beverage industry.

Other Requirements:

• Familiar with consumer electronics, device software, and version control processes.

• Proficient with project management tools such as Notion, Jira, Trello, Airtable, etc.

• Capable of working independently while also effectively collaborating with teams to achieve shared goals.

• Familiarity with project management methodologies, and strong problem-solving, critical thinking, and investigative abilities.

• Excellent verbal and written communication skills; able to effectively communicate with business units, management, and cross-functional teams.

Responsibilities:

• Hardware and Software R&D Project Planning and Management: Participate in project planning, assess project definitions, cost estimates, testing plans, execution requirements, scheduling, issue resolution, technical solutions, and resource coordination. Ensure timely and quality project delivery using development tools to monitor progress and make necessary adjustments.

• Risk and Issue Management: Identify risks and issues, propose solutions, and resolve technical bottlenecks and resource conflicts in cross-functional collaborations to ensure smooth project progression.

• Cross-Team Collaboration and Communication: Act as a communication bridge between teams to ensure proper understanding and execution of requirements and goals. Regularly report project status and risks to senior management.

• Project Documentation Management: Responsible for writing and managing project documents (e.g., schedules, requirement specifications, meeting notes, system architecture diagrams, data flow diagrams). Ensure knowledge continuity and sharing, plan meetings, and track progress.

• Developing Roadmaps: Create multi-phase development roadmaps and maintain ongoing communication with senior stakeholders across various levels.

Experience Requirements:

• 10+ years of overall experience with Oracle ERP technical stack

• Minimum of 8 years hands-on expertise with Oracle PaaS and Fusion technologies

Other Requirements:

• oracle integration cloud (oic)

• oracle fusion cloud applications

• oracle paas

• vbcs (visual builder cloud service)

• pcs (process cloud service)

• application composer

• atp/dbcs (autonomous transaction processing/database cloud service)

• fusion financials (gl, ap, ar, fa, ppm, pc)

• fusion procurement modules

• rest

• soap

• wsdl

• bi publisher

• otbi

• fusion reporting tools

• fbdi (file-based data import)

• adfdi (application desktop integrator)

• hdl (hcm data loader)

• data migration

• requirements gathering

• technical analysis

• solution design

• testing

• go-live support

• written communication

• async collaboration

• independent work

• adaptability

• Deep proficiency in Oracle Integration Cloud (OIC) and key PaaS development tools

• Functional and technical expertise with Fusion Financials and Procurement modules

• Advanced knowledge in web service development (REST, SOAP, WSDL)

• Extensive reporting skills using BI Publisher and OTBI

• Proficiency in data migration techniques: FBDI, ADFDI, HDL

• Excellent written communication skills

• Thriving in asynchronous team environments

Responsibilities:

• Lead the design, development, and implementation of Oracle Integration Cloud (OIC) solutions.

• Build and enhance integrations utilizing VBCS, PCS, Application Composer, and ATP/DBCS.

• Deliver technical solutions across Oracle Fusion Financials (GL, AP, AR, FA, PPM, PC) and Procurement modules.

• Develop and consume REST, SOAP, and WSDL-based web services for seamless system connectivity.

• Create and optimize reporting using BI Publisher, OTBI, and Fusion reporting tools.

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Experience Requirements:

• 3+ years commercial experience in software engineering with Python

• Strong programming skills in Python (clean code, OOP)

• Hands-on experience with LLMs and Generative AI

• Experience with backend frameworks (FastAPI) and SQL/NoSQL databases

• Practical experience in cloud environments (AWS, GCP, Azure)

Other Requirements:

• Personal project or practical frontend experience (React, Node.js, Nest.js, Typescript)

• Practical experience and strong interest in Data Science and Machine Learning

• Curiosity about latest trends in GenAI (IDP, Embeddings, Vector Databases, OpenSource LLMs)

Responsibilities:

• Support the development of scalable AI systems, including LLMs and GenAI, under the guidance of senior engineers

• Assist in transforming Data Science prototypes into production-ready solutions

• Build and enhance backend components for advanced AI systems using Python and frameworks like FastAPI

• Ensure code quality and implement good software engineering practices

• Participate in the deployment and maintenance of solutions in a cloud environment (GCP, AWS, Azure)

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• 5+ years of proven commercial experience in implementing, developing, or maintaining Big Data systems

• Strong programming skills in Python or Java/Scala: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Hands-on experience with Big Data technologies like Spark, Airflow, Iceberg, CI/CD, Kafka

• Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS)

Other Requirements:

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

• Fluent English (C1 level) is a must

Responsibilities:

• Design and develop scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Airflow, Iceberg

• Design and implement data management and data governance processes and best practices

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on data analysis and Machine Learning projects, including text/image analysis and predictive model building

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or higher in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• Proven track record in managing technical teams and leading end-to-end projects

• Experience working with corporate clients

• Hands-on experience with Data Science applications (NLP, Computer Vision, Generative AI, Machine Learning, Predictive Modeling)

• Hands-on experience in ETL, data preparation, and data wrangling techniques

• Proficiency in Python and cloud platforms (preferably Azure, AWS)

Other Requirements:

• Strong critical thinking and problem-solving abilities

• Excellent communication and presentation skills

• Advanced English Skills – C1 proficiency level or higher

Responsibilities:

• Be responsible for project management and technical leadership for data science and big data projects. Maintaining top-quality and client-focused deliverables to meet and exceed their expectations towards delivered solutions

• Manage and mentor a team of data scientists, ensuring they are engaged, motivated, productive, and are provided with regular feedback to support growth

• Act as a trusted advisor, proposing effective approaches and data science architectures tailored to client needs

• Building technical solutions that deliver measurable value

• Identify opportunities to expand service offerings and project potential with clients

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

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

Experience Requirements:

• 6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI)

• Experience in leading end-to-end Machine Learning projects and managing cross-functional teams

• Proficiency in developing ML algorithms from scratch to production deployment

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow)

• Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure)

Other Requirements:

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)

• High proficiency in English (C1 level)

• Excellent communication skills and consulting experience with direct interaction with clients

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Good knowledge of CI/CD principles (GitHub and GitHub Actions)

Responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives

• Lead the design of AI solution architectures that meet complex business goals and drive innovation

• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements

• Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills

• Understand clients’ needs and translate business problems into data science problems

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

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

Experience Requirements:

• Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, NLP, Computer Vision, GenAI)

• Proficiency in developing ML algorithms from scratch to production deployment

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow)

• Proven expertise in deploying solutions in cloud environments (AWS or Azure)

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)

Other Requirements:

• High proficiency in English (C1 level)

• Excellent communication skills and consulting experience with direct interaction with clients

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Good knowledge of CI/CD principles (GitHub and GitHub Actions)

• Familiarity with MLOps practices, Kubernetes and Docker

Responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives

• Lead the design of AI solution architectures that meet complex business goals and drive innovation

• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements

• Understand clients’ needs and translate business problems into data science problems

• Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s degree in technical or mathematical studies

Experience Requirements:

• At least 4 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes

• Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design

• Hands-on with Big Data technologies like Spark, Cloudera, Data Platform, Airflow, NiFi, Docker, Kubernetes, Iceberg, Trino or Hudi

• Excellent understanding of dimensional data and data modeling techniques

• Experience implementing and deploying solutions in cloud environments

Other Requirements:

• Consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant

• Ability to work independently and take ownership of project deliverables

• Fluent English (at least C1 level)

• Experience with an MLOps framework such as Kubeflow or MLFlow

• Familiarity with Databricks, dbt or Kafka

Responsibilities:

• Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability

• Design and implement data pipelines that process large volumes of data in both streaming and batch modes

• Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow

• Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently

• Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

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

Experience Requirements:

• At least 1 year of proven commercial experience developing, or maintaining Big Data systems

• Hands-on experience with Big Data technologies, including Databricks, Apache Spark, Airflow, and DBT

• Strong programming skills in Python: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Experience implementing and deploying solutions in cloud environments (with a preference for Azure)

Other Requirements:

• Practical knowledge of DevOps practices, including designing and maintaining CI/CD pipelines for data and ML workflows, and Terraform for Infrastructure as Code

• Knowledge of how to build and deploy Power BI reports and dashboards for data visualization

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

Responsibilities:

• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building

• Develop and organize data transformations using Databricks/DBT and Apache Airflow

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems

• Strong programming skills in Python: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Familiarity with Big Data technologies like Airflow or Dagster, Databricks, Spark, Azure Event Hub or Kafka

• Experience implementing and deploying solutions in cloud environments (with a preference for Azure)

Other Requirements:

• Knowledge of how to build and deploy Power BI reports and dashboards for data visualization

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

Responsibilities:

• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building

• Develop and organize data transformations using Databricks/DBT and Apache Airflow

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or higher in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• Proven track record in managing technical teams and leading end-to-end projects

• Experience working with international corporate clients

Other Requirements:

• Strong critical thinking and problem-solving abilities

• Excellent communication and presentation skills

• Advanced English Skills – C1 proficiency level or higher

• Proficiency in Python, cloud platforms (preferably Azure, AWS), and SQL

• Hands-on experience with Data Science or Big Data applications and tools (LLM, Generative AI, Machine Learning, Computer Vision, Predictive Modeling)

Responsibilities:

• Be responsible for project management and technical leadership for data science and big data projects. Maintaining top-quality and client-focused deliverables to meet and exceed their expectations towards delivered solutions

• Manage and mentor a team of data scientists, ensuring they are engaged, motivated, productive, and are provided with regular feedback to support growth

• Act as a trusted advisor, proposing effective approaches and data science architectures tailored to client needs

• Identify opportunities to expand service offerings and project potential with clients

• Take part in pre-sales activities, connecting technical solutions to client needs

Benefits:

• 4-day week

• 23 days annual leave + bank holidays

• health insurance

• retail & leisure perks

• electric car scheme

Experience Requirements:

• Experience as VP of Engineering, CTO, or senior technical leader in a high-growth or Series A-stage company

• Solid-Strong Python development skills

• Proven ability to scale cross-functional teams: data engineering, data science, analytics, and development

• Hands-on experience delivering stable, scalable SaaS products with measurable customer impact

• Experience managing infrastructure partners and external technical relationships

Other Requirements:

• Confident and polite stakeholder management

• Excellent communication - bridging tech, product, and commercial discussions seamlessly

• Customer-first mindset

• Ability to grow a business from early-stage traction to a large-scale, enterprise-grade platform

• Leadership in a fast-paced, high-growth environment

Responsibilities:

• Drive technical execution: Deliver and enhance our architecture, infrastructure, and product roadmap to ensure scalable growth and high-performing solutions

• Lead the team: Mentor and grow data engineers, scientists, analysts, and developers to deliver a high-performing, collaborative culture

• Ensure delivery & stability: Make sure features are delivered on time, scalable, and reliable, supporting long-term customer retention

• Manage key relationships: Own the infrastructure partner relationship to guarantee uptime, performance, and security

• Partner with the Chief Product Officer: Align on roadmap priorities, balancing strategic vision with day-to-day execution

Benefits:

• 4-day week

• 23 days annual leave

• Health insurance

• Discounted Apple Watch, gym membership, retail & leisure savings

• Electric Car scheme

Education Requirements:

• Fully qualified accountant (ACA, ACCA, CIMA)

Experience Requirements:

• Experience as a Finance Manager or Financial Controller — or ready to step up

• Comfortable working independently in a fast-paced, scaling business

• Track record of improving systems, building process, and driving efficiencies

• Tech / SaaS experience is desirable

• Experience working in a startup, scale-up or PE-backed business is a bonus

Other Requirements:

• Strong attention to detail, commercial awareness, and a proactive mindset

• Comfortable implementing or improving CRM / finance systems and processes

• Comfortable in the company of our well behaved office dog, Roxy

Responsibilities:

• Own and manage the day-to-day finance function, including accounts payable, receivable, payroll, and general ledger

• Ensure timely and accurate delivery of month-end and year-end reports

• Prepare monthly management accounts with insightful commentary and variance analysis

• Maintain up-to-date and accurate balance sheet reconciliations

• Manage client invoicing and supplier payment runs, with a focus on cash flow and control

Benefits:

• 4-day week

• 23 days annual leave

• Health insurance

• Discounted Apple Watch, gym membership, retail & leisure savings

• Electric Car scheme

Education Requirements:

• A recent graduate, school leaver, or looking for a change of career

Experience Requirements:

• Keen interest in SaaS and digital marketing

• Familiarity with B2B sales cycles

• Experience in a fast-paced setting is highly desirable

Other Requirements:

• An exceptional communicator with ability to build rapport and influence

• Highly motivated and results-oriented, with a relentless drive to hit and exceed targets

• A proactive learner, eager to master modern sales methodologies and tools

• Collaborative by nature, thriving in a team-oriented environment, yet capable of independent achievement

• Comfortable in the company of our well behaved office dog, Roxy

Responsibilities:

• Pipeline Generation & Growth Acceleration: Consistently exceed targets for qualified leads, directly fuelling our sales engine and contributing to our expansion

• Strategic Market Penetration: Dive deep into target accounts, leveraging cutting-edge outbound strategies to uncover untapped opportunities within the B2B landscape

• Relationship Architect: Forge meaningful connections with prospects, nurturing engagement through highly personalised communication that resonates

• Gateway to Innovation: Skillfully qualify potential clients, understanding their needs and pain points, and seamlessly transitioning them to our Senior Business Development Managers for in-depth solutions

• Data-Driven Impact: Maintain an impeccable CRM, providing insights that optimise our sales process and inform strategic decisions