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We're pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We're focusing on a three trillion dollar market of supply chains and procurement. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety. You'll own full-stack features end-to-end, with a focus on building for enterprise data requirements. You will collaborate closely with customer teams to architect and implement sophisticated data pipelines and APIs, directly fueling our cutting-edge agentic AI with terabytes of real-world supply chain data. You will be instrumental in shaping solutions for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the forefront of agentic systems. 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We're tackling a genuinely hard real-world problem, helping global manufacturing supply chains become more resilient in an increasingly unpredictable world. It's a massive space with huge untapped potential for AI. We're an early-stage company backed by Sequoia Capital, with a team bringing experience from OpenAI, Meta, Revolut, NASA and McKinsey & Company. We're looking for a Data Scientist to help us apply LLMs and AI tooling to large-scale, messy, real-world datasets, solving operational problems where the answers aren't obvious and the impact is very tangible. The Role This is not a traditional analytics or engineering role. We're looking for someone who enjoys working deeply with data, experimentation, AI tooling, and problem solving, someone comfortable using Python, notebooks, LLMs, and structured thinking to solve non-trivial operational challenges. You'll work on applying AI models and data science approaches to complex enterprise datasets, helping uncover insights, automate workflows, and prototype intelligent systems quickly. The ideal person is highly curious, pragmatic, and comfortable operating in ambiguity. You don't need to be a production software engineer, but you do need to be technically capable, thoughtful, and able to independently execute meaningful work. 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At Magentic, you'll design the core product experience for enterprise users interacting with AI agents that can manage complex procurement and supply chain workflows in real time. The challenge isn't making AI feel futuristic, it's making powerful systems feel intuitive, trustworthy, and genuinely useful for the people using them every day. You'll work across the full product experience, from understanding user problems and shaping workflows through to designing interactions, testing ideas quickly, and collaborating closely with engineers to bring products to life. This is a highly hands-on role in an early-stage environment. We care deeply about thoughtful product thinking, clear user experiences, and designing systems that people can actually understand and trust. We're looking for someone excited by ambiguity, fast iteration, and the opportunity to help shape both the product and how we build it as a company. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire procurement workflows. Our mission is to make manufacturing supply chains more resilient in an increasingly unpredictable world, representing a $3tn global market opportunity. We're backed by leading investors including Sequoia Capital , and our small team brings together experience from companies including OpenAI , Meta , Revolut , NASA , and McKinsey & Company . What You'll Do - Own end-to-end product design - Translate complex AI", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 7, "years_experience_max": 11, "role_function": "engineering", "employer_industry": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "e02fc2d2d9857689e50849fbf1ff0875", "title": "Front-end Engineer", "employer_name": "Magentic", "employer_slug": "magentic", "location_text": "London, England, United Kingdom", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-06T12:51:36.791Z", "apply_url": "https://jobs.ashbyhq.com/magentic/bc79e8d1-8bad-47bd-b991-4493f5a8a952", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Front-end Engineer London, England, United Kingdom We're looking for a Front-end Engineer who's excited to help define how people at the world's largest companies work with AI day to day. At Magentic, you'll shape the core product experience for enterprise users as they collaborate with AI agents that operate in real time to achieve things they currently can't imagine are possible. You want to work at the cutting edge of human-computer interaction. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire procurement workflows. Our mission is to make global manufacturing supply chains robust to an ever-changing world - that's a $3tn market opportunity. If that's not exciting enough - we're backed by world-class investors including Sequoia Capital, and you'd be working along a super talented team which brings together expertise from OpenAI, Meta, Revolut, NASA and McKinsey (and that's just the first 11 people!). What You'll Do - Own the development of new user-facing features - Interact with users to understand their problems - Make complex AI workflows feel easy and enjoyable for non-technical users - Collaborate with a cross-functional team to continually increase the impact of our product - Help maintain a robust, scalable design system using React and Tailwind You Might Be a Great Fit if You - Have 6+ years of professional software-engineering experience - Are fluent TypeScript/JavaScript (we use React) - Have experience building products powered by LLMs - Can communicate clearly with both engineers and business stakeholders - Thrive in", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "5e887b25c7dc439648b4465006a09312", "title": "Forward Deployed Engineer", "employer_name": "Magentic", "employer_slug": "magentic", "location_text": "London, England, United Kingdom", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-04-02T15:01:19.430Z", "apply_url": "https://jobs.ashbyhq.com/magentic/fff3e1f3-4403-4294-901c-cce91c06921f", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Forward Deployed Engineer London, England, United Kingdom Backed by global technology visionaries like Sequoia Capital, Magentic brings together world-class AI engineering (formers from OpenAI, Meta, and AWS) with procurement expertise (formers from McKinsey & Company and ABInBev). We are looking for brilliant Forward Deployed Engineers to join our team at Magentic. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We're focusing on the $3tn market of supply chains and procurement. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety. Forward-Deployed Engineers sit at the intersection of product, engineering, and customer success. You will collaborate closely with customer teams to understand their problems and data, enabling our product engineers to build impactful features. You will be instrumental in shaping solutions and recommending new features for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the forefront of agentic systems. What You'll Do You'll have a huge impact on both Magentic's commercial success and our product direction. This is a rare opportunity to help build a rocket ship. 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Magentic is building the first generation of agentic AI systems that actually work inside complex enterprise environments, backed by Sequoia and built by a team from OpenAI, Meta, Revolut, NASA, and McKinsey. We move fast, we ship real things, and we're looking for people who want to help build this from the ground up. As Deployment Strategist, you're the person who takes what we build and makes it land. You'll own customer engagements end-to-end - from scoping through to live deployment - and you'll be the connective tissue between our product, our commercial ambitions, and our customers' outcomes. This isn't a support role. You'll be shaping how Magentic operates in the field. What You'll Do You'll have a huge impact on both Magentic's commercial success and our product direction. This is a rare opportunity to help build a rocket ship. 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Back-end Engineer at Magentic - London, England, United Kingdom - Back-end Engineer London, England, United Kingdom The Role We are looking for brilliant engineers to join our team at Magentic. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We're focusing on a three trillion dollar market of supply chains and procurement. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety. You'll own full-stack features end-to-end, with a focus on building for enterprise data requirements. You will collaborate closely with customer teams to architect and implement sophisticated data pipelines and APIs, directly fueling our cutting-edge agentic AI with terabytes of real-world supply chain data. You will be instrumental in shaping solutions for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the forefront of agentic systems. What You'll Do - Design & build scalable, performant backend services and data pipelines - written in Python and deployed with Docker & Kubernetes. - Integrate with enterprise ecosystems - enterprise software systems such as SAP and Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar). - Wrangle large, heterogeneous data sets - model, transform, and index multi-modal, multi-terabyte enterprise datasets for advanced workloads - Develop enterprise-level next generation AI systems with the support of Magentic's AI specialists - Ship complete customer features - from architecture and code to CI/CD, infra-as-code (Terraform), rollout, and user

", "datePosted": "2026-06-11T10:03:04.792Z", "employmentType": "CONTRACTOR", "identifier": { "@type": "PropertyValue", "name": "Magentic", "value": "e5d3be076ac2ee043c579ec2b794d16b" }, "hiringOrganization": { "@type": "Organization", "name": "Magentic" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "GB", "addressLocality": "London" } }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/magentic/back-end-engineer-e5d3be07" } }, { "@type": "ListItem", "position": 2, "url": "https://fewerjobs.com/jobs/magentic/data-scientist-20543025", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Data Scientist", "description": "

Data Scientist at Magentic - London, England, United Kingdom - Data Scientist London, England, United Kingdom About Magentic At Magentic, we're building AI systems that can autonomously run complex procurement and supply chain workflows for some of the world's largest companies. We're tackling a genuinely hard real-world problem, helping global manufacturing supply chains become more resilient in an increasingly unpredictable world. It's a massive space with huge untapped potential for AI. We're an early-stage company backed by Sequoia Capital, with a team bringing experience from OpenAI, Meta, Revolut, NASA and McKinsey & Company. We're looking for a Data Scientist to help us apply LLMs and AI tooling to large-scale, messy, real-world datasets, solving operational problems where the answers aren't obvious and the impact is very tangible. The Role This is not a traditional analytics or engineering role. We're looking for someone who enjoys working deeply with data, experimentation, AI tooling, and problem solving, someone comfortable using Python, notebooks, LLMs, and structured thinking to solve non-trivial operational challenges. You'll work on applying AI models and data science approaches to complex enterprise datasets, helping uncover insights, automate workflows, and prototype intelligent systems quickly. The ideal person is highly curious, pragmatic, and comfortable operating in ambiguity. You don't need to be a production software engineer, but you do need to be technically capable, thoughtful, and able to independently execute meaningful work. What You'll Do: - Work with large, messy, real-world enterprise datasets - Apply LLMs and AI tooling to operational and analytical problems at scale - Build data workflows and experiments using Python

", "datePosted": "2026-06-10T15:09:59.719Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Magentic", "value": "20543025d8bbce4f42bac7a2d0a5992c" }, "hiringOrganization": { "@type": "Organization", "name": "Magentic" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "GB", "addressLocality": "London" } }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Masters", "url": "https://fewerjobs.com/jobs/magentic/data-scientist-20543025" } }, { "@type": "ListItem", "position": 3, "url": "https://fewerjobs.com/jobs/magentic/product-designer-6e972e29", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Product Designer", "description": "

Product Designer at Magentic - London, England, United Kingdom - Product Designer London, England, United Kingdom About the Role We're looking for a Product Designer to help define how people at the world's largest companies work with AI day to day. At Magentic, you'll design the core product experience for enterprise users interacting with AI agents that can manage complex procurement and supply chain workflows in real time. The challenge isn't making AI feel futuristic, it's making powerful systems feel intuitive, trustworthy, and genuinely useful for the people using them every day. You'll work across the full product experience, from understanding user problems and shaping workflows through to designing interactions, testing ideas quickly, and collaborating closely with engineers to bring products to life. This is a highly hands-on role in an early-stage environment. We care deeply about thoughtful product thinking, clear user experiences, and designing systems that people can actually understand and trust. We're looking for someone excited by ambiguity, fast iteration, and the opportunity to help shape both the product and how we build it as a company. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire procurement workflows. Our mission is to make manufacturing supply chains more resilient in an increasingly unpredictable world, representing a $3tn global market opportunity. We're backed by leading investors including Sequoia Capital , and our small team brings together experience from companies including OpenAI , Meta , Revolut , NASA , and McKinsey & Company . What You'll Do - Own end-to-end product design - Translate complex AI

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Front-end Engineer at Magentic - London, England, United Kingdom - Front-end Engineer London, England, United Kingdom We're looking for a Front-end Engineer who's excited to help define how people at the world's largest companies work with AI day to day. At Magentic, you'll shape the core product experience for enterprise users as they collaborate with AI agents that operate in real time to achieve things they currently can't imagine are possible. You want to work at the cutting edge of human-computer interaction. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire procurement workflows. Our mission is to make global manufacturing supply chains robust to an ever-changing world - that's a $3tn market opportunity. If that's not exciting enough - we're backed by world-class investors including Sequoia Capital, and you'd be working along a super talented team which brings together expertise from OpenAI, Meta, Revolut, NASA and McKinsey (and that's just the first 11 people!). What You'll Do - Own the development of new user-facing features - Interact with users to understand their problems - Make complex AI workflows feel easy and enjoyable for non-technical users - Collaborate with a cross-functional team to continually increase the impact of our product - Help maintain a robust, scalable design system using React and Tailwind You Might Be a Great Fit if You - Have 6+ years of professional software-engineering experience - Are fluent TypeScript/JavaScript (we use React) - Have experience building products powered by LLMs - Can communicate clearly with both engineers and business stakeholders - Thrive in

", "datePosted": "2026-05-06T12:51:36.791Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Magentic", "value": "e02fc2d2d9857689e50849fbf1ff0875" }, "hiringOrganization": { "@type": "Organization", "name": "Magentic" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "GB", "addressLocality": "London" } }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/magentic/front-end-engineer-e02fc2d2" } }, { "@type": "ListItem", "position": 5, "url": "https://fewerjobs.com/jobs/magentic/forward-deployed-engineer-5e887b25", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Forward Deployed Engineer", "description": "

Forward Deployed Engineer at Magentic - London, England, United Kingdom - Forward Deployed Engineer London, England, United Kingdom Backed by global technology visionaries like Sequoia Capital, Magentic brings together world-class AI engineering (formers from OpenAI, Meta, and AWS) with procurement expertise (formers from McKinsey & Company and ABInBev). We are looking for brilliant Forward Deployed Engineers to join our team at Magentic. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We're focusing on the $3tn market of supply chains and procurement. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety. Forward-Deployed Engineers sit at the intersection of product, engineering, and customer success. You will collaborate closely with customer teams to understand their problems and data, enabling our product engineers to build impactful features. You will be instrumental in shaping solutions and recommending new features for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the forefront of agentic systems. What You'll Do You'll have a huge impact on both Magentic's commercial success and our product direction. This is a rare opportunity to help build a rocket ship. As we grow, you could develop into product management or engineering, into a leader in our customer engineering space, even into sales, as you discover your strengths and interests. - Build strong relationships with our flagship clients -household names in the enterprise manufacturing space. - Analyse

", "datePosted": "2026-04-02T15:01:19.430Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Magentic", "value": "5e887b25c7dc439648b4465006a09312" }, "hiringOrganization": { "@type": "Organization", "name": "Magentic" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "GB", "addressLocality": "London" } }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/magentic/forward-deployed-engineer-5e887b25" } }, { "@type": "ListItem", "position": 6, "url": "https://fewerjobs.com/jobs/magentic/deployment-strategist-c16434ed", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Deployment Strategist", "description": "

Deployment Strategist at Magentic - London, England, United Kingdom - Deployment Strategist London, England, United Kingdom Procurement and supply chain is a $3 trillion problem that the world's largest companies haven't solved - until now. Magentic is building the first generation of agentic AI systems that actually work inside complex enterprise environments, backed by Sequoia and built by a team from OpenAI, Meta, Revolut, NASA, and McKinsey. We move fast, we ship real things, and we're looking for people who want to help build this from the ground up. As Deployment Strategist, you're the person who takes what we build and makes it land. You'll own customer engagements end-to-end - from scoping through to live deployment - and you'll be the connective tissue between our product, our commercial ambitions, and our customers' outcomes. This isn't a support role. You'll be shaping how Magentic operates in the field. What You'll Do You'll have a huge impact on both Magentic's commercial success and our product direction. This is a rare opportunity to help build a rocket ship. As we grow, you could develop into product management or engineering, into a leader in our customer engineering space, even into sales, as you discover your strengths and interests. - Build strong relationships with our flagship customers -household names in the enterprise manufacturing space. - Analyse large, unstructured data sets -dig around to discover value that our customers are missing and help configure our product to surface that value. - Collaborate directly with executives & operators -run white-boarding sessions, turn ambiguous requirements into concrete specs,

", "datePosted": "2026-04-02T15:00:45.577Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Magentic", "value": "c16434ed638d9407561855eee7a34650" }, "hiringOrganization": { "@type": "Organization", "name": "Magentic" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "GB", "addressLocality": "London" } }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 72 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/magentic/deployment-strategist-c16434ed" } }, { "@type": "ListItem", "position": 7, "url": "https://fewerjobs.com/jobs/magentic/founding-growth-marketer-1c0995dc", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Founding Growth Marketer", "description": "

Founding Growth Marketer at Magentic - London, England, United Kingdom - Founding Growth Marketer London, England, United Kingdom We're looking for our first Growth Marketer to help define how Magentic goes to market. This is a zero-to-one role: you'll work directly with the founders to determine who our ideal customers are, what messaging resonates with them, and which acquisition channels actually work. You'll be hands-on, running experiments across the full marketing stack - customer research, messaging, campaigns, and distribution - and turn early signals into repeatable growth playbooks. The goal is to build the foundations of a scalable growth engine that we can later expand with a team around you. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire procurement workflows. Our mission is to make global manufacturing supply chains robust to an ever-changing world - that's a $3tn market opportunity. If that's not exciting enough - we're backed by world-class investors including Sequoia Capital, and you'd be working along a super talented team which brings together expertise from OpenAI, Meta, Revolut, NASA and McKinsey (and that's just the first 11 people!). What You'll Do - Work closely with our CEO to refine our ideal customer profile and develop clear buyer personas and use cases - Build the narrative for Magentic as a category-defining AI platform for procurement - Design and run rapid experiments across acquisition channels to build our growth playbook - Leverage modern AI and automation tools to analyse, track, report and execute - Work closely with founders, sales, and product to turn customer

", "datePosted": "2026-03-08T15:17:33.909Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Magentic", "value": "1c0995dcc330f51622e2e18a04f93c68" }, "hiringOrganization": { "@type": "Organization", "name": "Magentic" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "GB", "addressLocality": "London" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/magentic/founding-growth-marketer-1c0995dc" } }, { "@type": "ListItem", "position": 8, "url": "https://fewerjobs.com/jobs/magentic/product-engineer-0d847691", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Product Engineer", "description": "

Product Engineer at Magentic - London, England, United Kingdom - Product Engineer London, England, United Kingdom We're looking for a Front-end Engineer who's excited to help define how people at the world's largest companies work with AI day to day. At Magentic, you'll shape the core product experience for enterprise users as they collaborate with AI agents that operate in real time to achieve things they currently can't imagine are possible. You want to work at the cutting edge of human-computer interaction. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire procurement workflows. Our mission is to make global manufacturing supply chains robust to an ever-changing world - that's a $3tn market opportunity. If that's not exciting enough - we're backed by world-class investors including Sequoia Capital, and you'd be working along a super talented team which brings together expertise from OpenAI, Meta, Revolut, NASA and McKinsey (and that's just the first 11 people!). What You'll Do - Own the development of new user-facing features - Interact with users to understand their problems - Make complex AI workflows feel easy and enjoyable for non-technical users - Collaborate with a cross-functional team to continually increase the impact of our product - Help maintain a robust, scalable design system using React and Tailwind You Might Be a Great Fit if You - Have 6+ years of professional software-engineering experience - Are fluent TypeScript/JavaScript (we use React) - Have experience building products powered by LLMs - Can communicate clearly with both engineers and business stakeholders - Thrive in

", "datePosted": "2026-01-18T17:44:53.946Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Magentic", "value": "0d8476911b041838037d71e6fc7b0d8a" }, "hiringOrganization": { "@type": "Organization", "name": "Magentic" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "GB", "addressLocality": "London" } }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/magentic/product-engineer-0d847691" } }, { "@type": "ListItem", "position": 9, "url": "https://fewerjobs.com/jobs/magentic/open-application-22f984ab", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Open Application", "description": "

Open Application at Magentic - London, England, United Kingdom - Open Application London, England, United Kingdom Let us know you're interested and we'll be in touch when we have a suitable role

", "datePosted": "2025-09-23T15:22:36.732Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Magentic", "value": "22f984abcf1d6267713719b5c98f3122" }, "hiringOrganization": { "@type": "Organization", "name": "Magentic" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "GB", "addressLocality": "London" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/magentic/open-application-22f984ab" } } ] } ] }