Senior Data Scientist - Conversational & Agentic AI London Say hello to the ecommerce OS. Swap is a leading software provider dedicated to empowering e-commerce brands with innovative, data-driven solutions. Our cutting edge platform helps online retailers optimise their operations, enhance customer experiences, and drive growth. We are committed to fostering a collaborative and inclusive work environment where creativity and innovation thrive. We are seeking a Senior Data Scientist to develop machine learning models and analytics systems that power intelligent conversational AI and autonomous AI agents for e-commerce. You'll focus on model development, fine tuning, measurement frameworks, and advanced ML techniques that enhance both conversational experiences and agentic capabilities. What You'll Do Agentic System Design & Multi Agent Architecture: Design sophisticated AI agent ecosystems that autonomously handle complex e commerce workflows. Conversational Flow & Agent Orchestration: Develop chat flows that guide users through e commerce discovery, advice, and purchase journeys whilst managing handoffs between specialised agents with natural conversation transitions. Prompt Engineering & Agent Optimisation: Develop and optimise prompts for both conversational AI and autonomous agents, implementing few shot learning patterns, chain of thought reasoning, tool use, and structured output generation for multi step agentic workflows. Fine tune LLMs for Agentic Applications: Fine tune language models for optimising both conversational flows and autonomous agent decision making using techniques like LoRA, QLoRA, and full fine tuning on e commerce datasets with Vertex AI Training and frameworks such as Axolotl, Unsloth, or DeepSpeed. Design Agentic Quality Metrics: Create robust metrics to track user engagement, task completion rates, agent performance, multi agent coordination effectiveness, and business outcomes. Build Predictive Models: Develop user behaviour prediction, conversation outcome forecasting, intent classification, agent performance prediction, and recommendation systems using scikit learn, XGBoost, LightGBM, and Google Cloud AutoML. Skills & Qualifications 4+ years in data science specialising in NLP, conversational AI, and agentic systems Conversational & Agentic AI: Expert experience designing chat flows, dialogue systems, autonomous AI agents, multi agent architectures, and advanced prompt optimisation including few shot learning, chain of thought reasoning, tool use, and comprehensive AI agent development and evaluation. Advanced ML & LLMs: Expert proficiency in PyTorch, TensorFlow, Hugging Face, and fine tuning techniques such as LoRA, QLoRA, or RLHF using Vertex AI Training and tools such as Axolotl or Unsloth Data & Analytics: SQL experience, experimental design, and A/B testing, ideally with Google Analytics and Vertex AI MLOps & Domain Knowledge: Production experience with Vertex AI Pipelines, MLflow, aWeights & Biases or similar platforms. Advanced Python skills and experience with agent frameworks and orchestration tools. Why Join Us? A truly global team. Swap operates across time zones, markets, and currencies. Work with modern tech (AI powered systems, cross border APIs, advanced analytics). Autonomy with high impact. Your decisions will shape the backbone of e commerce infrastructure for years to come. Equity, ownership, and career growth. We're scaling fast, and we want you on the journey.
Jan 01, 2026
Full time
Senior Data Scientist - Conversational & Agentic AI London Say hello to the ecommerce OS. Swap is a leading software provider dedicated to empowering e-commerce brands with innovative, data-driven solutions. Our cutting edge platform helps online retailers optimise their operations, enhance customer experiences, and drive growth. We are committed to fostering a collaborative and inclusive work environment where creativity and innovation thrive. We are seeking a Senior Data Scientist to develop machine learning models and analytics systems that power intelligent conversational AI and autonomous AI agents for e-commerce. You'll focus on model development, fine tuning, measurement frameworks, and advanced ML techniques that enhance both conversational experiences and agentic capabilities. What You'll Do Agentic System Design & Multi Agent Architecture: Design sophisticated AI agent ecosystems that autonomously handle complex e commerce workflows. Conversational Flow & Agent Orchestration: Develop chat flows that guide users through e commerce discovery, advice, and purchase journeys whilst managing handoffs between specialised agents with natural conversation transitions. Prompt Engineering & Agent Optimisation: Develop and optimise prompts for both conversational AI and autonomous agents, implementing few shot learning patterns, chain of thought reasoning, tool use, and structured output generation for multi step agentic workflows. Fine tune LLMs for Agentic Applications: Fine tune language models for optimising both conversational flows and autonomous agent decision making using techniques like LoRA, QLoRA, and full fine tuning on e commerce datasets with Vertex AI Training and frameworks such as Axolotl, Unsloth, or DeepSpeed. Design Agentic Quality Metrics: Create robust metrics to track user engagement, task completion rates, agent performance, multi agent coordination effectiveness, and business outcomes. Build Predictive Models: Develop user behaviour prediction, conversation outcome forecasting, intent classification, agent performance prediction, and recommendation systems using scikit learn, XGBoost, LightGBM, and Google Cloud AutoML. Skills & Qualifications 4+ years in data science specialising in NLP, conversational AI, and agentic systems Conversational & Agentic AI: Expert experience designing chat flows, dialogue systems, autonomous AI agents, multi agent architectures, and advanced prompt optimisation including few shot learning, chain of thought reasoning, tool use, and comprehensive AI agent development and evaluation. Advanced ML & LLMs: Expert proficiency in PyTorch, TensorFlow, Hugging Face, and fine tuning techniques such as LoRA, QLoRA, or RLHF using Vertex AI Training and tools such as Axolotl or Unsloth Data & Analytics: SQL experience, experimental design, and A/B testing, ideally with Google Analytics and Vertex AI MLOps & Domain Knowledge: Production experience with Vertex AI Pipelines, MLflow, aWeights & Biases or similar platforms. Advanced Python skills and experience with agent frameworks and orchestration tools. Why Join Us? A truly global team. Swap operates across time zones, markets, and currencies. Work with modern tech (AI powered systems, cross border APIs, advanced analytics). Autonomy with high impact. Your decisions will shape the backbone of e commerce infrastructure for years to come. Equity, ownership, and career growth. We're scaling fast, and we want you on the journey.
Full Stack AI Engineer - Agent Prototyping & Development London We are seeking a Full Stack AI Engineer to rapidly architect, prototype, and deploy cutting edge conversational AI agent systems for e-commerce. You'll build scalable proof of concepts at speed, implement multi modal AI pipelines, and develop production ready systems with modern web interfaces that quickly adapt to emerging agentic technologies. What You'll Do E Commerce Agent Development: Design and prototype scalable shopping agents using frameworks like PydanticAI, LangGraph, CrewAI, and OpenAI Agents SDK with advanced tool calling for inventory queries, price comparisons, order management, store control, and personalised product recommendations Multi modal Shopping Experiences: Engineer responsive web applications integrating LLM and VLM models for conversational AI experiences, build intuitive frontend interfaces for product image and description analysis, develop voice enabled conversational commerce features, and create seamless user experiences across web and mobile platforms E Commerce Integration & Evaluation: Build evaluation frameworks using tools like LangSmith, Phoenix, Langfuse, or DeepEval with automated testing pipelines for shopping journeys, rapidly integrate e commerce APIs (payment processors, inventory management, CRM systems) with secure frontend implementations whilst maintaining security and PCI compliance MCP Integration: Implement Model Context Protocol servers for seamless tool integration and standardised agent communication Fast Deployment & DevOps: Implement rapid CI/CD pipelines with containerised deployments, automated testing for e commerce workflows, real time monitoring dashboards for conversion rates and performance optimisation, and maintain both frontend and backend deployment pipelines Skills & Qualifications 3+ years in AI/ML engineering with rapid prototyping experience in conversational AI systems, agent architectures, or fast paced ML deployment environments, ideally with e commerce exposure and full stack development experience Agent Framework Expertise: Proficiency with PydanticAI, LangGraph, CrewAI, AutoGen, or OpenAI Agents SDK, including agent memory, tool integration for shopping APIs, distributed systems design, and e commerce workflow orchestration Full Stack Development: Python/FastAPI backend development, modern frontend frameworks (React, Vue, or similar), interactive tools like Streamlit/Gradio or modern AI tools such as Bolt.new & Lovable.dev, database design for customer data and inventory, and responsive web design principles Multi Modal & Infrastructure: Experience building multi modal systems with vision language models for product catalogues, speech processing pipelines with web integration, MLOps platforms, rapid model serving, and real time inference systems with corresponding user interfaces Cloud Native Deployment: Ideally Google Cloud Platform expertise including rapid Cloud Run deployments, Vertex AI, Vector Search for product recommendations, Pub/Sub for order processing, monitoring, frontend hosting solutions, and Infrastructure as Code Performance & Evaluation: Experience with system profiling, latency optimisation for real time shopping experiences, LLM evaluation pipelines for shopping conversations, automated testing frameworks for both frontend and backend, continuous validation, and web performance optimisation
Jan 01, 2026
Full time
Full Stack AI Engineer - Agent Prototyping & Development London We are seeking a Full Stack AI Engineer to rapidly architect, prototype, and deploy cutting edge conversational AI agent systems for e-commerce. You'll build scalable proof of concepts at speed, implement multi modal AI pipelines, and develop production ready systems with modern web interfaces that quickly adapt to emerging agentic technologies. What You'll Do E Commerce Agent Development: Design and prototype scalable shopping agents using frameworks like PydanticAI, LangGraph, CrewAI, and OpenAI Agents SDK with advanced tool calling for inventory queries, price comparisons, order management, store control, and personalised product recommendations Multi modal Shopping Experiences: Engineer responsive web applications integrating LLM and VLM models for conversational AI experiences, build intuitive frontend interfaces for product image and description analysis, develop voice enabled conversational commerce features, and create seamless user experiences across web and mobile platforms E Commerce Integration & Evaluation: Build evaluation frameworks using tools like LangSmith, Phoenix, Langfuse, or DeepEval with automated testing pipelines for shopping journeys, rapidly integrate e commerce APIs (payment processors, inventory management, CRM systems) with secure frontend implementations whilst maintaining security and PCI compliance MCP Integration: Implement Model Context Protocol servers for seamless tool integration and standardised agent communication Fast Deployment & DevOps: Implement rapid CI/CD pipelines with containerised deployments, automated testing for e commerce workflows, real time monitoring dashboards for conversion rates and performance optimisation, and maintain both frontend and backend deployment pipelines Skills & Qualifications 3+ years in AI/ML engineering with rapid prototyping experience in conversational AI systems, agent architectures, or fast paced ML deployment environments, ideally with e commerce exposure and full stack development experience Agent Framework Expertise: Proficiency with PydanticAI, LangGraph, CrewAI, AutoGen, or OpenAI Agents SDK, including agent memory, tool integration for shopping APIs, distributed systems design, and e commerce workflow orchestration Full Stack Development: Python/FastAPI backend development, modern frontend frameworks (React, Vue, or similar), interactive tools like Streamlit/Gradio or modern AI tools such as Bolt.new & Lovable.dev, database design for customer data and inventory, and responsive web design principles Multi Modal & Infrastructure: Experience building multi modal systems with vision language models for product catalogues, speech processing pipelines with web integration, MLOps platforms, rapid model serving, and real time inference systems with corresponding user interfaces Cloud Native Deployment: Ideally Google Cloud Platform expertise including rapid Cloud Run deployments, Vertex AI, Vector Search for product recommendations, Pub/Sub for order processing, monitoring, frontend hosting solutions, and Infrastructure as Code Performance & Evaluation: Experience with system profiling, latency optimisation for real time shopping experiences, LLM evaluation pipelines for shopping conversations, automated testing frameworks for both frontend and backend, continuous validation, and web performance optimisation
A leading tech company in the UK is seeking a Senior Product Leader to develop their new inventory product line. The role requires over 10 years of product experience, particularly in demand planning or forecasting within high-SKU sectors. You'll define product strategy, collaborate with teams, and establish success metrics. This position offers autonomy and growth opportunities within a rapidly scaling environment, leveraging AI technology to shape future ecommerce infrastructure.
Jan 01, 2026
Full time
A leading tech company in the UK is seeking a Senior Product Leader to develop their new inventory product line. The role requires over 10 years of product experience, particularly in demand planning or forecasting within high-SKU sectors. You'll define product strategy, collaborate with teams, and establish success metrics. This position offers autonomy and growth opportunities within a rapidly scaling environment, leveraging AI technology to shape future ecommerce infrastructure.
Personalised Search & Retrieval Engineer (Agentic Commerce) London Company Say hello to the ecommerce OS. Swap is a leading software provider dedicated to empowering e-commerce brands with innovative, data driven solutions. Our cutting edge platform helps online retailers optimise their operations, enhance customer experiences, and drive growth. We are committed to fostering a collaborative and inclusive work environment where creativity and innovation thrive. We are seeking a Personalised Search & Retrieval Engineer to own and optimise the core search infrastructure that powers personalised AI experiences. You'll be responsible for the entire search pipeline from semantic understanding to relevance ranking, building systems that deliver contextually relevant results whilst learning from user interactions to continuously improve search quality. What You'll Do Own Semantic Search Quality: Design and optimise embedding models, chunking strategies, and indexing approaches to ensure high-quality semantic understanding and retrieval across diverse content types Build Personalisation Systems: Integrate user-level signals, behavioural patterns, and preference data into search algorithms to deliver contextually relevant and personalised results Design Reranking & Relevance Models: Combine BM25, dense retrieval, and learning to rank approaches. Build sophisticated reranking algorithms that incorporate relevance signals, user context, and business objectives to optimise search result ordering Create Evaluation Frameworks: Develop comprehensive evaluation systems including offline metrics, online A/B testing, and user satisfaction measurements to continuously assess and improve search performance Optimise Performance & Scale: Tune latency and throughput across the entire search pipeline, working with vector databases and distributed systems to ensure sub second response times Build Agentic Integrations: Design retrieval systems that provide accurate context for AI applications, ensuring responses are well grounded in relevant, up to date information Implement Continuous Learning: Create feedback loops that capture user interactions, click through rates, and engagement signals to continuously refine personalisation algorithms Skills & Qualifications 4+ years of experience in search engineering, information retrieval, with proven track record of improving search quality at scale Deep expertise in semantic search technologies including embedding models, vector databases (postgres, pgvector), and modern retrieval architectures Strong knowledge of search fundamentals: BM25, TF IDF, learning to rank algorithms, and experience with search evaluation metrics (NDCG, MRR, MAP) Hands on experience with machine learning frameworks (PyTorch, TensorFlow), search libraries, and modern ML infrastructure Proficiency in Python, SQL, and distributed computing with experience building high throughput, low latency systems Experience with personalisation techniques, collaborative filtering, and integrating user behaviour signals into ranking algorithms Knowledge of A/B testing methodologies, statistical analysis, and search analytics for continuous optimisation Familiarity with modern AI/ML operations, model deployment, and monitoring in production environments
Jan 01, 2026
Full time
Personalised Search & Retrieval Engineer (Agentic Commerce) London Company Say hello to the ecommerce OS. Swap is a leading software provider dedicated to empowering e-commerce brands with innovative, data driven solutions. Our cutting edge platform helps online retailers optimise their operations, enhance customer experiences, and drive growth. We are committed to fostering a collaborative and inclusive work environment where creativity and innovation thrive. We are seeking a Personalised Search & Retrieval Engineer to own and optimise the core search infrastructure that powers personalised AI experiences. You'll be responsible for the entire search pipeline from semantic understanding to relevance ranking, building systems that deliver contextually relevant results whilst learning from user interactions to continuously improve search quality. What You'll Do Own Semantic Search Quality: Design and optimise embedding models, chunking strategies, and indexing approaches to ensure high-quality semantic understanding and retrieval across diverse content types Build Personalisation Systems: Integrate user-level signals, behavioural patterns, and preference data into search algorithms to deliver contextually relevant and personalised results Design Reranking & Relevance Models: Combine BM25, dense retrieval, and learning to rank approaches. Build sophisticated reranking algorithms that incorporate relevance signals, user context, and business objectives to optimise search result ordering Create Evaluation Frameworks: Develop comprehensive evaluation systems including offline metrics, online A/B testing, and user satisfaction measurements to continuously assess and improve search performance Optimise Performance & Scale: Tune latency and throughput across the entire search pipeline, working with vector databases and distributed systems to ensure sub second response times Build Agentic Integrations: Design retrieval systems that provide accurate context for AI applications, ensuring responses are well grounded in relevant, up to date information Implement Continuous Learning: Create feedback loops that capture user interactions, click through rates, and engagement signals to continuously refine personalisation algorithms Skills & Qualifications 4+ years of experience in search engineering, information retrieval, with proven track record of improving search quality at scale Deep expertise in semantic search technologies including embedding models, vector databases (postgres, pgvector), and modern retrieval architectures Strong knowledge of search fundamentals: BM25, TF IDF, learning to rank algorithms, and experience with search evaluation metrics (NDCG, MRR, MAP) Hands on experience with machine learning frameworks (PyTorch, TensorFlow), search libraries, and modern ML infrastructure Proficiency in Python, SQL, and distributed computing with experience building high throughput, low latency systems Experience with personalisation techniques, collaborative filtering, and integrating user behaviour signals into ranking algorithms Knowledge of A/B testing methodologies, statistical analysis, and search analytics for continuous optimisation Familiarity with modern AI/ML operations, model deployment, and monitoring in production environments
A fast-growing startup is seeking a proactive Head of Merchant Operations. This role focuses on leading merchant and partner integrations, overseeing tax operations, and optimizing workflows to support scalable growth. Candidates should have 5-8 years of experience in operations management within SaaS or E-commerce. Excellent analytical skills and strong stakeholder management are essential. The position offers stock options, competitive PTO, and wellness benefits.
Jan 01, 2026
Full time
A fast-growing startup is seeking a proactive Head of Merchant Operations. This role focuses on leading merchant and partner integrations, overseeing tax operations, and optimizing workflows to support scalable growth. Candidates should have 5-8 years of experience in operations management within SaaS or E-commerce. Excellent analytical skills and strong stakeholder management are essential. The position offers stock options, competitive PTO, and wellness benefits.
A forward-thinking tech company in Greater London is seeking a strategic partner to enhance Customer Success and Partnerships teams. This role involves shaping operational frameworks, driving customer retention strategies, and optimizing partner performance. Candidates should have 4-6 years of experience in management consulting or operational roles in tech. The position offers competitive benefits and a dynamic working environment with a focus on diversity and equality.
Jan 01, 2026
Full time
A forward-thinking tech company in Greater London is seeking a strategic partner to enhance Customer Success and Partnerships teams. This role involves shaping operational frameworks, driving customer retention strategies, and optimizing partner performance. Candidates should have 4-6 years of experience in management consulting or operational roles in tech. The position offers competitive benefits and a dynamic working environment with a focus on diversity and equality.
Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralizes global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the Role Reporting to the Director of Revenue Operations, you will act as a strategic partner to our Customer Success and Partnerships teams, playing a key role in shaping and executing initiatives that strengthen customer retention, expansion, and partner-driven revenue. Customer Success Strategy & Operations: You will define and optimise the end-to-end customer lifecycle-establishing scalable workflows, segmentation models, and renewal/expansion strategies that enhance customer outcomes and revenue predictability. You will create the data foundation and performance insights that guide CS decision making, ensuring system integrity and a clear understanding of customer health, churn risk, and growth potential. Partnerships Strategy & Operations: You will build the operational infrastructure that accelerates partner performance, including onboarding frameworks, pipeline and forecasting models, and performance reporting required to understand our partner ecosystem as it evolves. You will enhance strategic alignment between Partnerships, Sales, and CS, enabling a unified approach to partner growth, efficiency, and revenue contribution. Across both functions, you will drive cross functional programs that advance organisational effectiveness, strengthen data driven decision making, and ensure cohesive execution of our long term revenue strategy. You will take ownership of partner revenue share process, reinforcing the Swap partner experience as a competitive differentiator as we grow our partner community. Key responsibilities Shape and evolve the end-to-end Customer Success operating model, ensuring lifecycle strategies, segmentation, and engagement motions drive predictable retention and expansion outcomes. Partner with CS leadership to define long-term renewal and expansion strategies, aligning resources, playbooks, and forecasting approaches to support sustainable customer growth. Establish the strategic foundations for customer health visibility and risk identification, enabling proactive intervention and data informed decision making across the organisation. Lead cross functional initiatives that strengthen the post sales experience, streamline handoffs, and create a unified revenue engine across, Sales, Partnerships, and Product. Generate strategic insights that shape partner prioritisation, investment decisions, and long term revenue contribution, guiding how we develop, scale, and optimise our partner ecosystem. Strengthen the structure of our partner program, ensuring operational excellence across onboarding, enablement, billing, governance, and day to day partner engagement models. Optimise the partner technology stack and data infrastructure to enhance visibility, streamline workflows, and increase the effectiveness of partner led motions. Establish leading and lagging performance indicators that enable proactive decision making, help diagnose partner performance drivers, and inform strategic course corrections. What we would like to see: Proven experience (4-6 years) in management consulting or a strategic/operational role within a high growth tech company. Passion for designing scalable processes and driving operational excellence. Strong analytical skills with advanced proficiency in Excel/Google Sheets and other data driven tools. Demonstrated ability to translate complex data into actionable insights and impactful presentations for diverse stakeholders. Thrives in an unstructured, fast paced environment, with a hands on approach to problem solving and execution. Excellent project management skills with the ability to prioritise and manage multiple projects at once. Familiarity with CRM systems (e.g., Hubspot) is advantageous. Prior experience in a fast paced startup environment or within a rapidly scaling company is a plus. Stock options in a high growth startup. Competitive PTO with public holidays additional. Private Health. Pension. Wellness benefits. Breakfast Mondays. Diversity & Equal Opportunities: We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.
Jan 01, 2026
Full time
Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralizes global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the Role Reporting to the Director of Revenue Operations, you will act as a strategic partner to our Customer Success and Partnerships teams, playing a key role in shaping and executing initiatives that strengthen customer retention, expansion, and partner-driven revenue. Customer Success Strategy & Operations: You will define and optimise the end-to-end customer lifecycle-establishing scalable workflows, segmentation models, and renewal/expansion strategies that enhance customer outcomes and revenue predictability. You will create the data foundation and performance insights that guide CS decision making, ensuring system integrity and a clear understanding of customer health, churn risk, and growth potential. Partnerships Strategy & Operations: You will build the operational infrastructure that accelerates partner performance, including onboarding frameworks, pipeline and forecasting models, and performance reporting required to understand our partner ecosystem as it evolves. You will enhance strategic alignment between Partnerships, Sales, and CS, enabling a unified approach to partner growth, efficiency, and revenue contribution. Across both functions, you will drive cross functional programs that advance organisational effectiveness, strengthen data driven decision making, and ensure cohesive execution of our long term revenue strategy. You will take ownership of partner revenue share process, reinforcing the Swap partner experience as a competitive differentiator as we grow our partner community. Key responsibilities Shape and evolve the end-to-end Customer Success operating model, ensuring lifecycle strategies, segmentation, and engagement motions drive predictable retention and expansion outcomes. Partner with CS leadership to define long-term renewal and expansion strategies, aligning resources, playbooks, and forecasting approaches to support sustainable customer growth. Establish the strategic foundations for customer health visibility and risk identification, enabling proactive intervention and data informed decision making across the organisation. Lead cross functional initiatives that strengthen the post sales experience, streamline handoffs, and create a unified revenue engine across, Sales, Partnerships, and Product. Generate strategic insights that shape partner prioritisation, investment decisions, and long term revenue contribution, guiding how we develop, scale, and optimise our partner ecosystem. Strengthen the structure of our partner program, ensuring operational excellence across onboarding, enablement, billing, governance, and day to day partner engagement models. Optimise the partner technology stack and data infrastructure to enhance visibility, streamline workflows, and increase the effectiveness of partner led motions. Establish leading and lagging performance indicators that enable proactive decision making, help diagnose partner performance drivers, and inform strategic course corrections. What we would like to see: Proven experience (4-6 years) in management consulting or a strategic/operational role within a high growth tech company. Passion for designing scalable processes and driving operational excellence. Strong analytical skills with advanced proficiency in Excel/Google Sheets and other data driven tools. Demonstrated ability to translate complex data into actionable insights and impactful presentations for diverse stakeholders. Thrives in an unstructured, fast paced environment, with a hands on approach to problem solving and execution. Excellent project management skills with the ability to prioritise and manage multiple projects at once. Familiarity with CRM systems (e.g., Hubspot) is advantageous. Prior experience in a fast paced startup environment or within a rapidly scaling company is a plus. Stock options in a high growth startup. Competitive PTO with public holidays additional. Private Health. Pension. Wellness benefits. Breakfast Mondays. Diversity & Equal Opportunities: We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.
About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralizes global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the Role We're a fast-growing startup entering a new phase where scalable systems, data integrity, and cross-functional execution underpin our ability to scale globally. This is an exciting role for a proactive individual that is energised by tackling difficult problems and who thrives in a fast paced environment with an uncompromising attention to detail. It requires a blend of strategic planning, process optimization, and team leadership with high data proficiency and knowledge of global logistics while navigating complex operational tasks with their team. The Head of Merchant Operations sits within our overall Swap Core Operations and will be responsible for managing the Merchant and Partner Onboarding, Partner Integrations and Core Process Operations Team. The Core Team remit is to drive operational rigour and process optimisation to help scale our overall E2E operations with Brands, Merchant and Agency & Logistics Partners. Key responsibilities Lead the day to day execution for our Merchant and Partner Operations, focusing on successful integrations at scale. Manage and optimise the E2E Go Live process for our merchant and partners with technical colleagues Oversee Tax Operations, ensuring accuracy and compliance across all of Swap's operations. Reduce silos and manual workflows by implementing a scalable operations setups Collaborate with cross-functional (XFN) teams to ensure operational alignment with internal goals and the broader business strategy. What we would like to see: 5-8 years proven experience in operations management and partner integrations, preferably within SaaS, E-commerce, fintech, or a high-growth tech environment. Logistics experience highly desirable working with global logistics provider and WMS Strong analytical skills with experience managing and interpreting operational metrics Ability to translate between technical and non-technical stakeholders Demonstrated ability to lead and mentor a high-performing operations team Excellent communication and stakeholder management skills, with the ability to articulate complex operational issues to XFN teams. Stock options in a high-growth startup. Competitive PTO with public holidays additional. Private Health. Pension. Wellness benefits. Breakfast Mondays. Diversity & Equality Opportunities We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.
Jan 01, 2026
Full time
About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralizes global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the Role We're a fast-growing startup entering a new phase where scalable systems, data integrity, and cross-functional execution underpin our ability to scale globally. This is an exciting role for a proactive individual that is energised by tackling difficult problems and who thrives in a fast paced environment with an uncompromising attention to detail. It requires a blend of strategic planning, process optimization, and team leadership with high data proficiency and knowledge of global logistics while navigating complex operational tasks with their team. The Head of Merchant Operations sits within our overall Swap Core Operations and will be responsible for managing the Merchant and Partner Onboarding, Partner Integrations and Core Process Operations Team. The Core Team remit is to drive operational rigour and process optimisation to help scale our overall E2E operations with Brands, Merchant and Agency & Logistics Partners. Key responsibilities Lead the day to day execution for our Merchant and Partner Operations, focusing on successful integrations at scale. Manage and optimise the E2E Go Live process for our merchant and partners with technical colleagues Oversee Tax Operations, ensuring accuracy and compliance across all of Swap's operations. Reduce silos and manual workflows by implementing a scalable operations setups Collaborate with cross-functional (XFN) teams to ensure operational alignment with internal goals and the broader business strategy. What we would like to see: 5-8 years proven experience in operations management and partner integrations, preferably within SaaS, E-commerce, fintech, or a high-growth tech environment. Logistics experience highly desirable working with global logistics provider and WMS Strong analytical skills with experience managing and interpreting operational metrics Ability to translate between technical and non-technical stakeholders Demonstrated ability to lead and mentor a high-performing operations team Excellent communication and stakeholder management skills, with the ability to articulate complex operational issues to XFN teams. Stock options in a high-growth startup. Competitive PTO with public holidays additional. Private Health. Pension. Wellness benefits. Breakfast Mondays. Diversity & Equality Opportunities We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.