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:

• Bachelor’s or Master’s degree in mechatronics, mechanical engineering, electrical engineering, robotics, or related fields.

Experience Requirements:

• Minimum of 2 years of hands-on experience in robotic or electromechanical prototyping.

Other Requirements:

• Familiarity with microcontrollers (e.g., STM32, ESP32, Arduino) and real-time firmware development using C/C++.

• Solid understanding of embedded systems, motors (DC, BLDC, servo), and sensor integration.

• Proficient with CAD software (e.g., SolidWorks, Fusion 360), and experienced with hardware debugging tools such as oscilloscopes and logic analyzers.

• Capable of working independently and collaborating effectively in a fast-paced, cross-disciplinary environment.

• Familiarity with ROS/ROS2, or similar robotic frameworks

Responsibilities:

• Design, and build mechatronics systems for SHEN NONG SHI system, including actuators, sensing modules, and rapid prototypes.

• Develop embedded firmware to enable communication and interaction with hardware components (micro-controllers, motor controllers, sensors).

• Conduct system analysis and debugging of hardware and communication layers (e.g., UART, CAN, SPI, I2C).

• Build test fixtures, verification platforms, and integration tools to support in-lab testing.

• Collaborate cross-functionally with software, perception, and mechanical teams to ensure smooth system integration.

Benefits:

• Located in the center of the city

• Competitive salary

• Incentives

• Performance bonuses

• Insurance coverage

Education Requirements:

• Bachelor’s, Master’s, or Ph.D. degree in Mechanical Engineering or a related field.

Experience Requirements:

• Track record of taking products from concept to mass production.

Other Requirements:

• Proficient in SolidWorks or related CAD/CAM tools, solid modeling, surface modeling, and sheet metal design.

• Skilled in creating manufacturing drawings, 2D drafting, and knowledgeable in GD&T (Geometric Dimensioning and Tolerancing).

• Familiar with finite element analysis (FEA), risk assessment, material mechanics, and stress simulation.

• Experience in early-stage hardware startups or the food service industry is a plus.

• Familiarity with PLC controllers, Ubuntu OS, and depth cameras (e.g., RealSense).

Responsibilities:

• Design and develop mechanical and mechatronic components for automated control and robotic systems.

• Collaborate with cross-functional teams to create, analyze, and develop mechanical designs for SHEN NONG SHI system.

• Communicate with vendors to identify, select, and procure materials and components suitable for our mechanical system.

• Design system testing procedures and conduct reliability tests; conduct research to evaluate the feasibility, cost, or performance benefits for new mechatronic equipment.

• Produce engineering drawings and documentation; participate in rapid prototyping.

Experience Requirements:

• 2-4 Years of experience

• Strong hands-on experience in Java 8, Spring Framework, Python, and RESTful APIs within a microservices-based architecture

• Prior experience working in the Wealth Management or Financial Services domain (Preferred)

• Exposure to Agile/Scrum methodologies (Preferred)

Other Requirements:

• Strong hands-on experience in Java 8 and Spring Framework

• Experience with Python for scripting or back-end logic

• Strong background in RESTful API development in microservices architecture

• Proficiency in Oracle/PL-SQL; experience with MongoDB or other NoSQL databases is a plus

• Good understanding of complex system architecture and design patterns

• Familiarity with integration of front-end components (e.g., React or Angular) via REST APIs

• Knowledge of software development best practices, testing strategies, and version control tools

• Ability to troubleshoot and resolve issues in a fast-paced development environment

• Work Authorization: Open to all visa types

Responsibilities:

• Collaborate with Business Analysts to gather requirements and translate them into technical solutions

• Design, develop, test, and implement scalable and maintainable backend services

• Build and maintain RESTful APIs and integrate them with front-end modules

• Participate in application enhancements, debugging, and performance tuning

• Resolve Oracle/PL-SQL performance issues and optimize queries

Benefits:

• Flexible Working

• Work from Anywhere

• Conoce Mexico

• Connection Budget

• Learning Budget - Study leave and an annual budget

Experience Requirements:

• 1–2 years of sales or SDR experience under your belt, ideally in a SaaS or tech environment.

Other Requirements:

• You’re a pro at outbound prospecting and know how to get a conversation started.

• You’re fluent in both English and Spanish, with stellar written and verbal communication skills.

• You know your way around HubSpot (or similar CRMs) and other sales automation tools.

• You’re organised, resilient, and comfortable in a quota-carrying environment.

• You have a growth mindset—you're coachable, curious, and always keen to level up.

Responsibilities:

• Prospecting into new accounts using outbound strategies like cold calling, email, and LinkedIn.

• Generating and qualifying outbound leads that are a perfect match for our ideal customer profile.

• Crafting personalised messages to creatively engage with decision-makers across a variety of industries.

• Collaborating with our Enterprise Sales Associates to ensure a smooth and successful handoff.

• Nurturing prospects and handling objections until they are ready to jump into a sales conversation.

Benefits:

• Hybrid work model

• Budget to visit important conferences, read up on papers and develop skills

• Egym wellpass (qualitrain) membership

• Regular team events

• Public transport subsidy

Education Requirements:

• Master's degree in Computer Science, Mathematics, Statistics, Physics, or related technical field

• or Bachelor's degree with at least 2 years of experience in professional software engineering

Experience Requirements:

• Experience contributing to open-source projects

• Experience creating and deploying Machine Learning, Data Science or generative AI Projects

• Solid foundation in Python programming and professional software development principles (e.g. unit testing, code reviews, version control)

• Expert knowledge in Machine Learning, Statistics and Numerical Methods (Advantageous)

• Experience in creating and deploying production ready generative AI solutions, including RAG and Agentic Systems in Python (Advantageous)

Other Requirements:

• Team player with curiosity and eagerness to grow in AI/ML engineering, good problem solving skills, and a drive for excellence

• Experience in writing on technical topics for a general audience (e.g., blog posts, magazine articles) (Advantageous)

• Experience in teaching or creating teaching materials (Advantageous)

Responsibilities:

• Contribute to research projects by designing software that allows for quick experimentation and rigorous evaluation of research ideas

• Create and deploy GenAI Applications (from RAG to agentic systems) for internal or external use

• Support the creation of training materials and demos on GenAI, Machine Learning and Software Engineering

• Contribute to open-source Python packages

• Participate in hackathons and other events to solve challenges and stay engaged with the AI/ML community

Experience Requirements:

• Experienced

• Understand the challenges of a rapidly growing company

• Comfortable with Kubernetes and cloud providers

• Use AI tools to ship solutions faster

• Interested in learning about, or already experienced with Azure or other cloud providers, ArgoCD or other GitOps tools, Terraform or other infrastructure-as-code tools

Other Requirements:

• Care about developer productivity and best practices as much as service health and performance

• Obsess over reliability, stability and scalability

• Infrastructure security and SOC2 compliance

Responsibilities:

• Help scale our infrastructure and development processes

• Steer DevOps practices to unleash customer value

• Grow and support the members of your team

• Collaborate with Product and Customer Success to plan and prioritize work

• Balance personal goals with organizational needs and assist others when necessary

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

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:

• 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 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 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:

• 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

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