Swap

Engineering Team Lead 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 centralises 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 are looking for a Team Lead to found and lead the newly formed Unified Domain Team within our Enablement Group. This is a greenfield, high-leverage role: you will define and drive adoption of Swap's canonical domain entities and API contracts across the entire engineering organisation. This team exists to solve a real and growing problem - every new partner or market integration today requires bespoke, duplicated engineering effort. You will eliminate that tax by establishing shared, stable, and versioned domain structures that product teams can build on with confidence. The ideal candidate is both a technical leader and a systems thinker who thrives in ambiguous, cross-cutting work and knows how to ship pragmatically without sacrificing long-term integrity. This is a hands-on role ( 50% coding initially) with people leadership responsibilities. Responsibilities Lead a small, focused team with the autonomy and clarity to build foundational infrastructure. Define, publish, and version canonical domain models for Swap's core entities. Own the delivery of schemas and OpenAPI definitions. Establish and maintain a lightweight governance pipeline: review process, ownership model, versioning policy, and deprecation strategy. Translating software requirements into working, high-performance software. Playing a key role in architectural and design decisions, building toward efficient architecture. Collaborate with cross-functional teams; work closely with product managers, and other engineers and team leads to gather requirements and translate them into technical specifications. Hire, mentor, and grow the team as scope expands. Requirements Proven experience leading or tech-leading an engineering team, including cross-functional collaboration and ownership of architectural decisions. 5+ years of backend or full-stack engineering experience, with strong TypeScript/JavaScript and Node.js skills. Experience designing versioned APIs (REST/OpenAPI and/or GraphQL with schema governance). Experience working in platform or infrastructure engineering roles - comfortable with work whose primary customer is other engineers. Ability to navigate ambiguity: you can ship a pragmatic V0, articulate why it's the right trade-off, and iterate toward a stronger long-term model. Excellent communication skills - you can translate complex technical standards into clear guidance for product engineers. Experience with eCommerce systems, partner integrations, or multi-tenant platforms is a strong plus. Passion for systems that outlast individuals - documentation, ownership, and tooling are first-class concerns for you. A BSc in Computer Science or Mathematics (or equivalent experience). Enjoy working in a fast paced, high-growth environment.

A leading technology firm in Greater London is seeking an experienced Senior Product Manager to drive product strategy for cross-border e-commerce capabilities. This role mandates 5+ years of experience in product management, particularly within SaaS or compliance. You will collaborate with various teams to deliver impactful solutions for merchants navigating international sales. The position offers a hybrid work model along with competitive salary, stock options, and comprehensive benefits including health and wellness programs.

Senior Product Manager Location: London (Hybrid) 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 centralises 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 are seeking an experienced Product Manager - Cross Border to join our product organisation. In this role, you will lead product strategy, discovery, and delivery for capabilities that help merchants navigate complex international sales, starting with supporting their product catalog readiness, through enabling their online checkout experiences to accommodate for unique taxes and compliance aspects, all the way through execution and delivery of the fulfilment phases. You are expected to leverage AI for constant refinement of the various features and flows improving efficiency and value as well as handling user-facing experiences that simplify global selling. You will work cross-functionally with engineering, design, sales, compliance, operations, legal, and GTM teams to define and ship solutions that unlock value for merchants expanding their e-commerce footprint globally. What you'll do Define product vision & strategy: Shape the roadmap for global commerce products with a focus on cross-border pricing, duties & tax calculation, compliance, and an international wide set of regulatory aspects - all with a purpose of simplified selling and streamlined operations. Champion end-to-end ecommerce funnel tooling: Drive a SCRUM team in developing features that automate various steps and dimensions of both shopper and merchant facing experiences that required to complete and support a smooth and accurate cross-border shopping experience, focusing on financial and compliance accuracy to reduce merchant risk and negative surprise costs at delivery. Lead discovery & prioritisation: Conduct user research, gather requirements from stakeholders, and balance short-term merchant needs with long-term product strategies. Deliver scalable solutions: Partner with engineering and design to launch high-quality features that improve merchant operational workflows and customer checkout and post-checkout experiences across regions. Measure impact: Define success metrics, monitor product performance (e.g., conversion, compliance accuracy rates, landed cost precision), and iterate based on data. Cross-team communication: Coordinate with legal, operations, and partner teams to ensure global features meet regulatory and commercial requirements in diverse markets. Who you are Experienced product leader: 5+ years of product management experience in SaaS, compliance and/or e-commerce, with a history of shipping impactful global products. Cross-border domain knowledge: Understanding of international taxation (VAT/GST), import duties, trade compliance, and how these impact pricing and checkout experiences. Data-driven: Comfortable using quantitative and qualitative data to set priorities, test hypotheses, and drive decisions. Technical aptitude: Able to collaborate with engineering teams on APIs, integrations, and backend workflows, and translate complex requirements into clear specs. Customer-centric: Passionate about solving real merchant challenges and enhancing the global selling experience. Collaborative communicator: Excellent verbal and written communication; thrives in cross-functional environments. Nice to have Experience with e-commerce platforms (Shopify, SFCC, Magento/Adobe Commerce, BigCommerce). Prior work in tax/finance, trade compliance, or international logistics software. Familiarity with AI-empowered products or analytics tools. Exposure to products that operate in regulated or multi-jurisdiction environments. Benefits Competitive base salary. 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.

A leading technology firm in the United Kingdom is looking for a Senior/Lead ML Engineer to develop AI-driven recommendation systems. The successful candidate will oversee the entire ML lifecycle and work closely with cross-functional teams to optimize personalized product recommendations. This technical role requires significant ML engineering experience, strong Python skills, and knowledge of LLMs, particularly in fashion or visual domains. Competitive salary, stock options, and numerous benefits are offered.

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 As Senior/Lead ML Engineer (Recommendations), you will own the intelligence behind what Swap's AI Storefront shows to every shopper. This is a deeply technical, hands on role at the intersection of recommendation systems, LLMs, and fashion understanding. You'll build the models and pipelines that power style aware product recommendations, outfit generation, and personalised discovery, working end to end from research and prototyping through to production systems serving real customers. You'll work closely with our conversational AI layer, which extracts rich preference signals through dialogue, and find ways to combine that with traditional e commerce behavioural data and LLM based world knowledge to bootstrap and refine recommendations, including solving cold start problems in novel ways. You'll set a high technical bar for ML engineering within the recommendations space at Swap, and as we scale, you'll play a key role in how this area of the team evolves. Key Responsibilities Own the end-to-end ML lifecycle for recommendation and personalisation systems, from problem framing and data exploration through to deployment, evaluation, and iteration. Design, build, and productionise models for style aware recommendations, including item pairing, outfit generation, preference matching, and personalised discovery. Develop approaches that combine conversational preference extraction (from our memory layer) with traditional behavioural signals and LLM based world knowledge to power high quality recommendations, particularly in cold start and sparse data scenarios. Build and optimise the feature pipelines and serving infrastructure that power recommendations at scale, working closely with engineering. Define and champion best practices for offline and online evaluation of recommendation quality, including metrics for relevance, diversity, novelty, and style coherence. Collaborate closely with product, AI engineering, and design to shape how recommendations surface across the AI Storefront, from conversational flows to visual discovery experiences. Explore and integrate signals from social media content and visual style to enrich user taste profiles and improve recommendation relevance. Act as a senior technical reference point for recommendation and personalisation engineering at Swap, helping to set standards, review critical work, and guide teammates. What We Would Like to See Significant experience (typically 5+ years) in ML engineering or applied machine learning roles, with clear ownership of production recommendation or personalisation systems that drove meaningful business outcomes. Strong hands on skills in Python and relevant ML/deep learning frameworks (e.g. PyTorch, TensorFlow), plus solid software engineering practices (testing, version control, code review, CI/CD). Proven track record building recommendation systems, with practical experience in techniques such as collaborative filtering, content based methods, embedding models, sequence models, or graph based approaches. Experience with LLMs and a practical understanding of how to leverage them within recommendation pipelines, whether for feature enrichment, preference understanding, knowledge bootstrapping, or hybrid retrieval approaches. Comfort working with fashion, style, or visual domains is a strong plus, particularly experience with visual embeddings, multimodal models, or taste/preference modelling. Practical experience deploying and iterating on ML systems in production (model serving, monitoring, retraining strategies, working with APIs and microservices). Benefits Competitive base salary 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.