Vortexa Ltd
Barnet, London
About Us: Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. The Role: Processing thousands of rich data points per second from many and vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Production Team is responsible for all of Vortexa's data. It ranges from mixing raw satellite data from 600,000 vessels with rich but incomplete text data, to generating high-value forecasts such as the vessel destination, cargo onboard, ship-to-ship transfer detection, dark vessels, congestion, future prices, etc The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. You Are: Experienced in building and deploying distributed scalable backend data processing pipelines that can go through terabytes of data daily using AWS, K8s, and Airflow. With solid software engineering fundamentals, fluent in both Java and Python (with Rust good to have). Knowledgeable about data lake systems like Athena, and big data storage formats like Parquet, HDF5, ORC, with a focus on data ingestion. Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role. Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Have experience with Apache Kafka and streaming frameworks, e.g., Flink, Familiar with observability principles such as logging, monitoring, and tracing Have experience with web scraping technologies and information extraction. A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options)- in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better
About Us: Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. The Role: Processing thousands of rich data points per second from many and vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Production Team is responsible for all of Vortexa's data. It ranges from mixing raw satellite data from 600,000 vessels with rich but incomplete text data, to generating high-value forecasts such as the vessel destination, cargo onboard, ship-to-ship transfer detection, dark vessels, congestion, future prices, etc The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. You Are: Experienced in building and deploying distributed scalable backend data processing pipelines that can go through terabytes of data daily using AWS, K8s, and Airflow. With solid software engineering fundamentals, fluent in both Java and Python (with Rust good to have). Knowledgeable about data lake systems like Athena, and big data storage formats like Parquet, HDF5, ORC, with a focus on data ingestion. Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role. Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Have experience with Apache Kafka and streaming frameworks, e.g., Flink, Familiar with observability principles such as logging, monitoring, and tracing Have experience with web scraping technologies and information extraction. A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options)- in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better
Vortexa Ltd
City, London
Processing thousands of energy data points per second from diverse operational sources, handling massive volumes of energy data while running sophisticated classification and anomaly detection models in real-time, maintaining comprehensive data lineage, and delivering insights through high-performance platforms used by energy operators globally requires exceptional engineering and scientific expertise. This processing demands models that can withstand the scrutiny of energy analysts and traders, operations teams, and regulatory bodies, with the performance, stability, and reliability that critical energy systems require. The Data Platform Team is responsible for all machine learning operations across our energy data ecosystem. We work with everything from raw sensor data from millions of energy assets to complex operational datasets, generating high-value predictions such as equipment failure detection, energy demand forecasting, operational anomaly identification, predictive maintenance scheduling, and system optimization recommendations. The team has built a comprehensive suite of statistical and machine learning models that enable us to provide the most accurate and actionable insights into energy operations. We take pride in applying cutting-edge research to real-world energy challenges in a robust, scalable, and maintainable way. The quality of our models is continuously validated by experienced in-house energy analysts and traders and domain experts to ensure reliability of our predictions. You'll be instrumental in designing and building ML infrastructure and applications to propel the design, deployment, and monitoring of existing and new ML pipelines and models. Working with software engineers, data scientists, and energy analysts and traders, you'll help bridge the gap between research experiments and production energy systems by ensuring 100% uptime and bulletproof fault-tolerance of every component of our ML platform. You Are: Experienced in building and deploying distributed scalable ML pipelines that can process large volumes of energy data daily using Kubernetes and MLflow With solid machine learning engineering fundamentals, fluent in Python, PyTorch, and XGBoost Skilled in developing classification models and anomaly detection systems for production environments Capable of implementing comprehensive data lineage tracking and model governance systems Driven by working in an intellectually engaging environment with top energy analysts and traders and technology experts, where constructive challenges and technical debates are encouraged Excited about working in a dynamic environment: not afraid of complex energy challenges, eager to bring new ML innovations to production, and a positive can-do attitude Passionate about mentoring team members, helping them improve their ML engineering skills and grow their careers Experienced with the full ML model lifecycle, including experiment design, model development, validation, deployment, monitoring, and maintenance Awesome If You: Have experience in the energy sector or understanding of energy systems and operations Have practical experience with AWS services (SageMaker, S3, EC2, Lambda, etc.) Have experience with infrastructure as code tools (Terraform, CloudFormation) Have experience with Apache Kafka and real-time streaming frameworks Are familiar with observability principles such as logging, monitoring, and distributed tracing for ML systems Have experience with transformer architectures and generative AI applications in operational contexts Have experience with time series analysis and forecasting techniques relevant to energy applications Are knowledgeable about data privacy regulations and compliance frameworks in the energy sector Enjoy flexible hybrid working - split your time between home and our office, with the freedom to work where you're most productive. A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options)- in a business-savvy and responsible way Motivated by being collaborative, working and achieving together Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better
Processing thousands of energy data points per second from diverse operational sources, handling massive volumes of energy data while running sophisticated classification and anomaly detection models in real-time, maintaining comprehensive data lineage, and delivering insights through high-performance platforms used by energy operators globally requires exceptional engineering and scientific expertise. This processing demands models that can withstand the scrutiny of energy analysts and traders, operations teams, and regulatory bodies, with the performance, stability, and reliability that critical energy systems require. The Data Platform Team is responsible for all machine learning operations across our energy data ecosystem. We work with everything from raw sensor data from millions of energy assets to complex operational datasets, generating high-value predictions such as equipment failure detection, energy demand forecasting, operational anomaly identification, predictive maintenance scheduling, and system optimization recommendations. The team has built a comprehensive suite of statistical and machine learning models that enable us to provide the most accurate and actionable insights into energy operations. We take pride in applying cutting-edge research to real-world energy challenges in a robust, scalable, and maintainable way. The quality of our models is continuously validated by experienced in-house energy analysts and traders and domain experts to ensure reliability of our predictions. You'll be instrumental in designing and building ML infrastructure and applications to propel the design, deployment, and monitoring of existing and new ML pipelines and models. Working with software engineers, data scientists, and energy analysts and traders, you'll help bridge the gap between research experiments and production energy systems by ensuring 100% uptime and bulletproof fault-tolerance of every component of our ML platform. You Are: Experienced in building and deploying distributed scalable ML pipelines that can process large volumes of energy data daily using Kubernetes and MLflow With solid machine learning engineering fundamentals, fluent in Python, PyTorch, and XGBoost Skilled in developing classification models and anomaly detection systems for production environments Capable of implementing comprehensive data lineage tracking and model governance systems Driven by working in an intellectually engaging environment with top energy analysts and traders and technology experts, where constructive challenges and technical debates are encouraged Excited about working in a dynamic environment: not afraid of complex energy challenges, eager to bring new ML innovations to production, and a positive can-do attitude Passionate about mentoring team members, helping them improve their ML engineering skills and grow their careers Experienced with the full ML model lifecycle, including experiment design, model development, validation, deployment, monitoring, and maintenance Awesome If You: Have experience in the energy sector or understanding of energy systems and operations Have practical experience with AWS services (SageMaker, S3, EC2, Lambda, etc.) Have experience with infrastructure as code tools (Terraform, CloudFormation) Have experience with Apache Kafka and real-time streaming frameworks Are familiar with observability principles such as logging, monitoring, and distributed tracing for ML systems Have experience with transformer architectures and generative AI applications in operational contexts Have experience with time series analysis and forecasting techniques relevant to energy applications Are knowledgeable about data privacy regulations and compliance frameworks in the energy sector Enjoy flexible hybrid working - split your time between home and our office, with the freedom to work where you're most productive. A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options)- in a business-savvy and responsible way Motivated by being collaborative, working and achieving together Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better
Vortexa Ltd
City, London
At Vortexa, we open, connect, and optimise the energy world through pioneering technology and unmatched market information. We're trusted by traders, analysts, and shipping professionals worldwide to bring clarity to the most complex and high-value markets on earth. We are looking for a Head of Product Marketing to take our go-to-market strategy to the next level. This is a unique opportunity to shape the narrative of a fast-scaling SaaS company in the global energy and freight markets - defining how we position our products, compete, and win. This role is both strategic and hands-on: you'll set the vision for Product Marketing at Vortexa, while personally driving high-stakes launches, sharpening competitive positioning, and ensuring our stories convert into measurable commercial impact. What you'll do: Define and champion Product Marketing at Vortexa Set and own the PMM charter, aligning it with company strategy and revenue priorities. Establish clear priorities across launches, ICPs, and narratives to focus resources where they deliver the most impact. Bring PMM insights and recommendations into executive discussions, ensuring market and customer perspectives directly shape company strategy and GTM priorities. Partner closely with Product Strategy to connect market opportunity, customer feedback, and roadmap direction into a unified commercial view. Build trusted, collaborative relationships across Product, Sales, PS, CS, and Marketing, ensuring PMM acts as a unifying, approachable partner across the business. Institutionalise GTM discipline Establish launch standards, playbooks and success criteria that make GTM execution repeatable and measurable across the organisation. Personally lead Tier-1 launches, acting as the point of accountability at executive level. Drive alignment across Product, Sales, PS, CS, and Marketing so launches are executed with clarity, consistency, and impact. Ensure GTM strategy translates into clear messaging, coordinated execution, and field enablement. Lead with a balance of vision and practicality - equally comfortable defining frameworks or diving into the details to help teams deliver with excellence. Drive positioning and messaging Own Vortexa's positioning and messaging framework, ensuring every product and campaign connects to a clear, differentiated story. Define narratives that make Vortexa stand out across energy, freight, and finance - turning complex ideas into clear, commercially relevant stories for decision-makers. Evolve our positioning using insights from competitors, the market, and customers to keep it sharp, evidence-based, and ahead of the curve. Work cross-functionally to ensure consistency across all teams, while allowing space for creativity and regional nuance. Accelerate competitive advantage Own and build a structured process for capturing, analysing, and sharing competitor data across Product, Sales, and Marketing. Aggregate signals from the market, customers, and internal teams to identify emerging threats and opportunities. Deliver quarterly competitive reviews and battlecard updates, embedding actionable insights across the business. Provide clear recommendations on positioning and messaging adjustments to ensure differentiation. Work with Product to share insights that inform roadmap prioritisation and pricing strategy. Enable commercial success Ensure Sales, CS, Product Specialists, and BDRs are equipped with the narratives, tools, and confidence to win competitive deals. Lead a structured enablement cadence with measurable impact on win rates and stage conversion. Embed PMM outputs as consistent, trusted, and widely adopted across the field. Create a closed feedback loop between field insights, win/loss data, and Product to continuously improve market alignment. Approach enablement as partnership - ensuring field teams feel supported, informed, and confident using PMM materials in real commercial scenarios. Lead, coach, and influence Mentor senior PMMs, raising the bar for strategy, storytelling, and execution. Represent the PMM function with the executive team, ensuring its contribution to growth is visible and measurable. Partner with the VP of Product and Product Strategy to foster a shared intelligence culture across Product and Marketing. Be recognised as an inclusive, pragmatic leader who builds alignment and momentum - someone people enjoy working with and can turn to for clarity and confidence. What we're looking for Proven Product Marketing leadership in a high-growth B2B SaaS company, ideally with technical or data-heavy products (energy, trading, or freight experience a strong plus). Track record of building competitive intelligence programmes that influence product direction and sharpen go-to-market execution. Demonstrated success leading Tier-1 launches with measurable adoption and revenue impact. Sharp commercial instinct: comfortable partnering with Sales and CROs, shaping GTM priorities, and presenting at exec level. Deep curiosity and credibility: able to immerse yourself in complex products and markets quickly, earning trust with technical experts and commercial leaders alike. Strategic and hands-on: equally adept at facilitating GTM war-rooms, editing frameworks, or briefing the board. Evidence-led communicator: uses win/loss insights, market research, and competitor analysis to guide decisions. A natural collaborator with strong emotional intelligence - able to read the room, communicate with empathy, and build trust across all levels of the organisation. Clarity and influence: able to cut through complexity, build consensus, and tell stories that resonate with both technical and commercial audiences. Enjoy flexible hybrid working - split your time between home and our office, with the freedom to work where you're most productive. A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options)- in a business-savvy and responsible way Motivated by being collaborative, working and achieving together Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better
At Vortexa, we open, connect, and optimise the energy world through pioneering technology and unmatched market information. We're trusted by traders, analysts, and shipping professionals worldwide to bring clarity to the most complex and high-value markets on earth. We are looking for a Head of Product Marketing to take our go-to-market strategy to the next level. This is a unique opportunity to shape the narrative of a fast-scaling SaaS company in the global energy and freight markets - defining how we position our products, compete, and win. This role is both strategic and hands-on: you'll set the vision for Product Marketing at Vortexa, while personally driving high-stakes launches, sharpening competitive positioning, and ensuring our stories convert into measurable commercial impact. What you'll do: Define and champion Product Marketing at Vortexa Set and own the PMM charter, aligning it with company strategy and revenue priorities. Establish clear priorities across launches, ICPs, and narratives to focus resources where they deliver the most impact. Bring PMM insights and recommendations into executive discussions, ensuring market and customer perspectives directly shape company strategy and GTM priorities. Partner closely with Product Strategy to connect market opportunity, customer feedback, and roadmap direction into a unified commercial view. Build trusted, collaborative relationships across Product, Sales, PS, CS, and Marketing, ensuring PMM acts as a unifying, approachable partner across the business. Institutionalise GTM discipline Establish launch standards, playbooks and success criteria that make GTM execution repeatable and measurable across the organisation. Personally lead Tier-1 launches, acting as the point of accountability at executive level. Drive alignment across Product, Sales, PS, CS, and Marketing so launches are executed with clarity, consistency, and impact. Ensure GTM strategy translates into clear messaging, coordinated execution, and field enablement. Lead with a balance of vision and practicality - equally comfortable defining frameworks or diving into the details to help teams deliver with excellence. Drive positioning and messaging Own Vortexa's positioning and messaging framework, ensuring every product and campaign connects to a clear, differentiated story. Define narratives that make Vortexa stand out across energy, freight, and finance - turning complex ideas into clear, commercially relevant stories for decision-makers. Evolve our positioning using insights from competitors, the market, and customers to keep it sharp, evidence-based, and ahead of the curve. Work cross-functionally to ensure consistency across all teams, while allowing space for creativity and regional nuance. Accelerate competitive advantage Own and build a structured process for capturing, analysing, and sharing competitor data across Product, Sales, and Marketing. Aggregate signals from the market, customers, and internal teams to identify emerging threats and opportunities. Deliver quarterly competitive reviews and battlecard updates, embedding actionable insights across the business. Provide clear recommendations on positioning and messaging adjustments to ensure differentiation. Work with Product to share insights that inform roadmap prioritisation and pricing strategy. Enable commercial success Ensure Sales, CS, Product Specialists, and BDRs are equipped with the narratives, tools, and confidence to win competitive deals. Lead a structured enablement cadence with measurable impact on win rates and stage conversion. Embed PMM outputs as consistent, trusted, and widely adopted across the field. Create a closed feedback loop between field insights, win/loss data, and Product to continuously improve market alignment. Approach enablement as partnership - ensuring field teams feel supported, informed, and confident using PMM materials in real commercial scenarios. Lead, coach, and influence Mentor senior PMMs, raising the bar for strategy, storytelling, and execution. Represent the PMM function with the executive team, ensuring its contribution to growth is visible and measurable. Partner with the VP of Product and Product Strategy to foster a shared intelligence culture across Product and Marketing. Be recognised as an inclusive, pragmatic leader who builds alignment and momentum - someone people enjoy working with and can turn to for clarity and confidence. What we're looking for Proven Product Marketing leadership in a high-growth B2B SaaS company, ideally with technical or data-heavy products (energy, trading, or freight experience a strong plus). Track record of building competitive intelligence programmes that influence product direction and sharpen go-to-market execution. Demonstrated success leading Tier-1 launches with measurable adoption and revenue impact. Sharp commercial instinct: comfortable partnering with Sales and CROs, shaping GTM priorities, and presenting at exec level. Deep curiosity and credibility: able to immerse yourself in complex products and markets quickly, earning trust with technical experts and commercial leaders alike. Strategic and hands-on: equally adept at facilitating GTM war-rooms, editing frameworks, or briefing the board. Evidence-led communicator: uses win/loss insights, market research, and competitor analysis to guide decisions. A natural collaborator with strong emotional intelligence - able to read the room, communicate with empathy, and build trust across all levels of the organisation. Clarity and influence: able to cut through complexity, build consensus, and tell stories that resonate with both technical and commercial audiences. Enjoy flexible hybrid working - split your time between home and our office, with the freedom to work where you're most productive. A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options)- in a business-savvy and responsible way Motivated by being collaborative, working and achieving together Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better