Madrona Venture Labs in Greater London seeks a Lead Pre-Sales Solutions Consultant to lead technical sales efforts. You will collaborate directly with prospects to understand their key objectives and showcase the Amperity platform's capabilities. Required is a minimum of 12 years in customer-facing roles within marketing technology or data analytics, complemented by strong analytical skills and a client-focused attitude. The role comes with comprehensive benefits including healthcare coverage and 28 days of annual leave.
18/05/2026
Full time
Madrona Venture Labs in Greater London seeks a Lead Pre-Sales Solutions Consultant to lead technical sales efforts. You will collaborate directly with prospects to understand their key objectives and showcase the Amperity platform's capabilities. Required is a minimum of 12 years in customer-facing roles within marketing technology or data analytics, complemented by strong analytical skills and a client-focused attitude. The role comes with comprehensive benefits including healthcare coverage and 28 days of annual leave.
Location London Employment Type Full time Location Type Hybrid Department Engineering Compensation £120K - £170K • £120K - £170K Equity THE BASICS This role pays up to £170k/year DOE + equity. Reporting to: Founding Engineer, Josh Harrison. Location: Chancery Lane, London - Mon-Thu in office, Fri WFH. WHAT ARE WE BUILDING Fyxer is an AI Email and Meeting Assistant that eliminates admin burden for professionals in client facing roles. Think sales, consultants, recruiters. We understand your inbox, draft replies in your own voice, and take crisp meeting notes. We're a pure play applied AI company, not a SaaS product with AI bolted on. We use fine tuned open source models, tool use, and retrieval augmented generation. Users send 53% of the email drafts we generate. Since launching in March 2024, we've grown from $0 to $30M+ ARR. We raised a $10M Series A and a $30M Series B in under 18 months. Our backers include Marc Benioff (Salesforce), Harry Stebbings (20VC), David Singleton (ex CTO of Stripe), and Madrona (first investors in Amazon and Snowflake). THE ROLE We're hiring a Lead Platform Engineer to sit within our platform team, a small, high ownership group responsible for the infrastructure and services that keep Fyxer running as we scale, including taking ownership for billing, integrations with third party apps, uptime and incident response. This isn't a ticket execution role. You'll own the reliability standard for the whole company: what good infrastructure looks like, what it takes to ship safely, and how incidents get resolved and don't repeat. You'll work across the full stack, from cloud architecture to database migrations, using deep technical knowledge and sound judgement to keep a fast moving product on solid ground. Some examples of what the team has achieved: Migrated our billing structure in Stripe from a subscription model to usage based billing, from technical specification through to implementation, with zero downtime. Redesigned the entire webhook architecture behind our Outlook integration to completely eliminate rate limiting, changing a core part of the product without any downtime. WHAT YOU'LL OWN Plan and execute infrastructure migrations, the kind where the wrong call takes the product down. Be the last line of defence when things break: diagnose it, fix it, and make sure it doesn't happen again. Use quantitative data (error logs, cloud metrics) and qualitative data (support tickets, user reports) to identify the highest leverage reliability improvements. Build and maintain the scripts, workflows, and cloud architecture that the product runs on. This is a full stack engineering role, not just configuration of tools. You'll ship code. Work closely with product engineers to review new features before they ship, ensuring they meet the reliability bar before they reach production. Own the reliability standard across your product area, so new features and onboardings don't break what's already working. WHAT WE'RE LOOKING FOR Solid TypeScript. Expert level. If you don't have this, you shouldn't apply. You need to be fluent enough to diagnose and fix a production incident fast. In an outage, someone who can't read the code can't help solving the issue. Serious cloud experience. Google Cloud or equivalent, at depth. Deployments, scripts, GitHub workflows, operational tasks. The kind of engineer who knows not just how to use a cloud platform but how to architect around its constraints. Deep database knowledge. Not just querying, but designing. Understanding the database design options available and how to find the most effective solution, then justifying that against any questions. Production ownership. When something breaks, you're the one who fixes it. We need someone who's been in that seat before and knows how to stay calm, move fast, and make sure it doesn't happen again. Fullstack capability. You'll be designing and building features alongside our product engineers, ensuring you support the development of new features from a reliability perspective. Genuine obsession with learning. Everyone says this. We mean it differently. The best person for this role goes home and thinks about the problem. They build tools to understand their own gaps. We look for a deep, self driven obsession with learning and technical craft, and people who get uncomfortable when they stop growing. WE'RE DELIBERATE ABOUT HIRING A small team of exceptional people, working hard on a problem they care about, will always beat a larger, less focused team. That intensity means this isn't a normal role, but it also means you'll move faster than anywhere else. Josh Harrison joined as our founding engineer and now leads the platform team you'd be joining. He didn't come for a well defined role. He came because the problem was real, the team was exceptional, and the work was genuinely hard. That's still true. The people who thrive here are the ones who find that combination energising rather than daunting.
18/05/2026
Full time
Location London Employment Type Full time Location Type Hybrid Department Engineering Compensation £120K - £170K • £120K - £170K Equity THE BASICS This role pays up to £170k/year DOE + equity. Reporting to: Founding Engineer, Josh Harrison. Location: Chancery Lane, London - Mon-Thu in office, Fri WFH. WHAT ARE WE BUILDING Fyxer is an AI Email and Meeting Assistant that eliminates admin burden for professionals in client facing roles. Think sales, consultants, recruiters. We understand your inbox, draft replies in your own voice, and take crisp meeting notes. We're a pure play applied AI company, not a SaaS product with AI bolted on. We use fine tuned open source models, tool use, and retrieval augmented generation. Users send 53% of the email drafts we generate. Since launching in March 2024, we've grown from $0 to $30M+ ARR. We raised a $10M Series A and a $30M Series B in under 18 months. Our backers include Marc Benioff (Salesforce), Harry Stebbings (20VC), David Singleton (ex CTO of Stripe), and Madrona (first investors in Amazon and Snowflake). THE ROLE We're hiring a Lead Platform Engineer to sit within our platform team, a small, high ownership group responsible for the infrastructure and services that keep Fyxer running as we scale, including taking ownership for billing, integrations with third party apps, uptime and incident response. This isn't a ticket execution role. You'll own the reliability standard for the whole company: what good infrastructure looks like, what it takes to ship safely, and how incidents get resolved and don't repeat. You'll work across the full stack, from cloud architecture to database migrations, using deep technical knowledge and sound judgement to keep a fast moving product on solid ground. Some examples of what the team has achieved: Migrated our billing structure in Stripe from a subscription model to usage based billing, from technical specification through to implementation, with zero downtime. Redesigned the entire webhook architecture behind our Outlook integration to completely eliminate rate limiting, changing a core part of the product without any downtime. WHAT YOU'LL OWN Plan and execute infrastructure migrations, the kind where the wrong call takes the product down. Be the last line of defence when things break: diagnose it, fix it, and make sure it doesn't happen again. Use quantitative data (error logs, cloud metrics) and qualitative data (support tickets, user reports) to identify the highest leverage reliability improvements. Build and maintain the scripts, workflows, and cloud architecture that the product runs on. This is a full stack engineering role, not just configuration of tools. You'll ship code. Work closely with product engineers to review new features before they ship, ensuring they meet the reliability bar before they reach production. Own the reliability standard across your product area, so new features and onboardings don't break what's already working. WHAT WE'RE LOOKING FOR Solid TypeScript. Expert level. If you don't have this, you shouldn't apply. You need to be fluent enough to diagnose and fix a production incident fast. In an outage, someone who can't read the code can't help solving the issue. Serious cloud experience. Google Cloud or equivalent, at depth. Deployments, scripts, GitHub workflows, operational tasks. The kind of engineer who knows not just how to use a cloud platform but how to architect around its constraints. Deep database knowledge. Not just querying, but designing. Understanding the database design options available and how to find the most effective solution, then justifying that against any questions. Production ownership. When something breaks, you're the one who fixes it. We need someone who's been in that seat before and knows how to stay calm, move fast, and make sure it doesn't happen again. Fullstack capability. You'll be designing and building features alongside our product engineers, ensuring you support the development of new features from a reliability perspective. Genuine obsession with learning. Everyone says this. We mean it differently. The best person for this role goes home and thinks about the problem. They build tools to understand their own gaps. We look for a deep, self driven obsession with learning and technical craft, and people who get uncomfortable when they stop growing. WE'RE DELIBERATE ABOUT HIRING A small team of exceptional people, working hard on a problem they care about, will always beat a larger, less focused team. That intensity means this isn't a normal role, but it also means you'll move faster than anywhere else. Josh Harrison joined as our founding engineer and now leads the platform team you'd be joining. He didn't come for a well defined role. He came because the problem was real, the team was exceptional, and the work was genuinely hard. That's still true. The people who thrive here are the ones who find that combination energising rather than daunting.
Madrona Venture Labs is looking for a Senior Platform Engineer for their London office. This hybrid role offers a salary range of £100K to £120K. Responsibilities include infrastructure management, reliability standards, and full-stack engineering tasks. The ideal candidate will have extensive experience in TypeScript, cloud platforms, and database management, with a strong focus on incident resolution and a passion for learning. Expect a rigorous application process including a coding challenge and team interviews.
17/05/2026
Full time
Madrona Venture Labs is looking for a Senior Platform Engineer for their London office. This hybrid role offers a salary range of £100K to £120K. Responsibilities include infrastructure management, reliability standards, and full-stack engineering tasks. The ideal candidate will have extensive experience in TypeScript, cloud platforms, and database management, with a strong focus on incident resolution and a passion for learning. Expect a rigorous application process including a coding challenge and team interviews.
Madrona Venture Labs is seeking experienced Research Engineers in London to develop and optimize AI models, driving cutting-edge research in AI and machine learning. Responsibilities include training large-scale generative models, designing experiments, and enhancing user experiences with new features. Ideal candidates have a strong proficiency in PyTorch and experience building end-to-end machine learning pipelines. We offer competitive salary, opportunities for growth, and a collaborative research-driven environment.
17/05/2026
Full time
Madrona Venture Labs is seeking experienced Research Engineers in London to develop and optimize AI models, driving cutting-edge research in AI and machine learning. Responsibilities include training large-scale generative models, designing experiments, and enhancing user experiences with new features. Ideal candidates have a strong proficiency in PyTorch and experience building end-to-end machine learning pipelines. We offer competitive salary, opportunities for growth, and a collaborative research-driven environment.
Madrona Venture Labs in Greater London is seeking a Senior Solutions Architect to collaborate with customers on implementing solutions. The ideal candidate will have 8 years of experience in software development, expertise with SQL and relational databases, and strong communication skills. The role is technical yet customer-facing, requiring problem-solving and integration strategy guidance. Benefits include 100% healthcare coverage, 28 days of annual leave, and a supportive team environment.
16/05/2026
Full time
Madrona Venture Labs in Greater London is seeking a Senior Solutions Architect to collaborate with customers on implementing solutions. The ideal candidate will have 8 years of experience in software development, expertise with SQL and relational databases, and strong communication skills. The role is technical yet customer-facing, requiring problem-solving and integration strategy guidance. Benefits include 100% healthcare coverage, 28 days of annual leave, and a supportive team environment.
Location London Employment Type Full time Location Type Hybrid Department Engineering Compensation £100K - £120K • £100K - £120K Equity THE BASICS This role pays up to £120k/year DOE + equity Reporting to: Founding Engineer, Josh Harrison Location: Chancery Lane, London - Mon-Thu in office, Fri WFH WHAT ARE WE BUILDING Fyxer is an AI Email and Meeting Assistant that eliminates admin burden for professionals in client facing roles. Think sales, consultants, recruiters. We understand your inbox, draft replies in your own voice, and take crisp meeting notes. We're a pure play applied AI company, not a SaaS product with AI bolted on. We use fine tuned open source models, tool use, and retrieval augmented generation. Users send 53% of the email drafts we generate. Since launching in March 2024, we've grown from $0 to $30M+ ARR. We raised a $10M Series A and a $30M Series B in under 18 months. Our backers include Marc Benioff (Salesforce), Harry Stebbings (20VC), David Singleton (ex CTO of Stripe), and Madrona (first investors in Amazon and Snowflake). THE ROLE We're hiring a Senior Platform Engineer to sit within our platform team, a small, high ownership group responsible for the infrastructure and services that keep Fyxer running as we scale, including taking ownership for billing, integrations with third party apps, uptime and incident response. This isn't a ticket execution role. You'll own the reliability standard for the whole company: what good infrastructure looks like, what it takes to ship safely, and how incidents get resolved and don't repeat. You'll work across the full stack, from cloud architecture to database migrations, using deep technical knowledge and sound judgement to keep a fast moving product on solid ground. Some examples of what the team has achieved in the past months to get a taste: Migrated our billing structure in Stripe from a subscription model to usage based billing, from technical specification through to implementation, with zero downtime. Redesigned the entire webhook architecture behind our Outlook integration to completely eliminate rate limiting, changing a core part of the product without any downtime. WHAT YOU'LL OWN Plan and execute infrastructure migrations, the kind where the wrong call takes the product down. Be the last line of defence when things break: diagnose it, fix it, and make sure it doesn't happen again. Use quantitative data (error logs, cloud metrics) and qualitative data (support tickets, user reports) to identify the highest leverage reliability improvements. Build and maintain the scripts, workflows, and cloud architecture that the product runs on. This is a full stack engineering role, not just configuration of tools. You'll ship code. Work closely with product engineers to review new features before they ship, ensuring they meet the reliability bar before they reach production. Own the reliability standard across your product area, so new features and onboarding don't break what's already working. WHAT WE'RE LOOKING FOR The work in this role is what we call crunchy. Feature engineering is creative, there's rarely one right answer. Platform engineering is different: there is a right answer, and you need to find it fast, with deep knowledge of how systems behave under pressure. Solid TypeScript. Expert level. If you don't have this, you shouldn't apply. You need to be fluent enough to diagnose and fix a production incident fast. In an outage, someone who can't read the code can't help solving the issue. Serious cloud experience. Google Cloud or equivalent, at depth. Deployments, scripts, GitHub workflows, operational tasks. The kind of engineer who knows not just how to use a cloud platform but how to architect around its constraints. Deep database knowledge. Not just querying, but designing. Understanding the database design options available and how to find the most effective solution, then justifying that against any questions. That's the kind of problem we solve. Production ownership. When something breaks, you're the one who fixes it. We need someone who's been in that seat before and knows how to stay calm, move fast, and make sure it doesn't happen again. Fullstack capability. You'll be designing and building features alongside our product engineers, ensuring you support the development of new features from a reliability perspective. Genuine obsession with learning. Everyone says this. We mean it differently. The best person for this role goes home and thinks about the problem. They build tools to understand their own gaps. We look for a deep, self driven obsession with learning and technical craft, and people who get uncomfortable when they stop growing. WE'RE DELIBERATE ABOUT HIRING A small team of exceptional people, working hard on a problem they care about, will always beat a larger, less focused team. That intensity means this isn't a normal role, but it also means you'll move faster than anywhere else. Josh Harrison joined as our founding engineer and now leads the platform team you'd be joining. He didn't come for a well defined role. He came because the problem was real, the team was exceptional, and the work was genuinely hard. That's still true. The people who thrive here are the ones who find that combination energising rather than daunting. Tune in on his thoughts on why he joined. THE APPLICATION PROCESS Submit your CV - no cover letter needed. Personal interview with a team member (ca. 30 mins). Live problem solving, remote (60 mins). Coding Challenge, take home task (ca. 60 mins). Lunch with the whole platform team (60 mins). Compensation Range: £100K - £120K
16/05/2026
Full time
Location London Employment Type Full time Location Type Hybrid Department Engineering Compensation £100K - £120K • £100K - £120K Equity THE BASICS This role pays up to £120k/year DOE + equity Reporting to: Founding Engineer, Josh Harrison Location: Chancery Lane, London - Mon-Thu in office, Fri WFH WHAT ARE WE BUILDING Fyxer is an AI Email and Meeting Assistant that eliminates admin burden for professionals in client facing roles. Think sales, consultants, recruiters. We understand your inbox, draft replies in your own voice, and take crisp meeting notes. We're a pure play applied AI company, not a SaaS product with AI bolted on. We use fine tuned open source models, tool use, and retrieval augmented generation. Users send 53% of the email drafts we generate. Since launching in March 2024, we've grown from $0 to $30M+ ARR. We raised a $10M Series A and a $30M Series B in under 18 months. Our backers include Marc Benioff (Salesforce), Harry Stebbings (20VC), David Singleton (ex CTO of Stripe), and Madrona (first investors in Amazon and Snowflake). THE ROLE We're hiring a Senior Platform Engineer to sit within our platform team, a small, high ownership group responsible for the infrastructure and services that keep Fyxer running as we scale, including taking ownership for billing, integrations with third party apps, uptime and incident response. This isn't a ticket execution role. You'll own the reliability standard for the whole company: what good infrastructure looks like, what it takes to ship safely, and how incidents get resolved and don't repeat. You'll work across the full stack, from cloud architecture to database migrations, using deep technical knowledge and sound judgement to keep a fast moving product on solid ground. Some examples of what the team has achieved in the past months to get a taste: Migrated our billing structure in Stripe from a subscription model to usage based billing, from technical specification through to implementation, with zero downtime. Redesigned the entire webhook architecture behind our Outlook integration to completely eliminate rate limiting, changing a core part of the product without any downtime. WHAT YOU'LL OWN Plan and execute infrastructure migrations, the kind where the wrong call takes the product down. Be the last line of defence when things break: diagnose it, fix it, and make sure it doesn't happen again. Use quantitative data (error logs, cloud metrics) and qualitative data (support tickets, user reports) to identify the highest leverage reliability improvements. Build and maintain the scripts, workflows, and cloud architecture that the product runs on. This is a full stack engineering role, not just configuration of tools. You'll ship code. Work closely with product engineers to review new features before they ship, ensuring they meet the reliability bar before they reach production. Own the reliability standard across your product area, so new features and onboarding don't break what's already working. WHAT WE'RE LOOKING FOR The work in this role is what we call crunchy. Feature engineering is creative, there's rarely one right answer. Platform engineering is different: there is a right answer, and you need to find it fast, with deep knowledge of how systems behave under pressure. Solid TypeScript. Expert level. If you don't have this, you shouldn't apply. You need to be fluent enough to diagnose and fix a production incident fast. In an outage, someone who can't read the code can't help solving the issue. Serious cloud experience. Google Cloud or equivalent, at depth. Deployments, scripts, GitHub workflows, operational tasks. The kind of engineer who knows not just how to use a cloud platform but how to architect around its constraints. Deep database knowledge. Not just querying, but designing. Understanding the database design options available and how to find the most effective solution, then justifying that against any questions. That's the kind of problem we solve. Production ownership. When something breaks, you're the one who fixes it. We need someone who's been in that seat before and knows how to stay calm, move fast, and make sure it doesn't happen again. Fullstack capability. You'll be designing and building features alongside our product engineers, ensuring you support the development of new features from a reliability perspective. Genuine obsession with learning. Everyone says this. We mean it differently. The best person for this role goes home and thinks about the problem. They build tools to understand their own gaps. We look for a deep, self driven obsession with learning and technical craft, and people who get uncomfortable when they stop growing. WE'RE DELIBERATE ABOUT HIRING A small team of exceptional people, working hard on a problem they care about, will always beat a larger, less focused team. That intensity means this isn't a normal role, but it also means you'll move faster than anywhere else. Josh Harrison joined as our founding engineer and now leads the platform team you'd be joining. He didn't come for a well defined role. He came because the problem was real, the team was exceptional, and the work was genuinely hard. That's still true. The people who thrive here are the ones who find that combination energising rather than daunting. Tune in on his thoughts on why he joined. THE APPLICATION PROCESS Submit your CV - no cover letter needed. Personal interview with a team member (ca. 30 mins). Live problem solving, remote (60 mins). Coding Challenge, take home task (ca. 60 mins). Lunch with the whole platform team (60 mins). Compensation Range: £100K - £120K
At Amperity, we're an AI-first company helping the world's leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud, built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK'S Sporting Goods, to turn customer data into a competitive advantage. We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work - from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision making. It's not just a capability; it's part of our DNA. Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world's most innovative companies. With offices in Seattle, New York City, London, and Melbourne, you'll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let's talk. The Role As a Senior Solutions Architect on our Professional Services team, you will partner with Solution Delivery Managers and Customer Solution Engineers to implement Amperity's solution. This is a high impact, collaborative role that will see you own solution architecture, validate technical requirements, lead customers with guidance on best practice technical strategy, and execute a defined project plan for each customer. The role is deeply technical, but also customer-facing and will require familiarity with cloud platforms, database technologies, and SQL. Interesting Problems Own end to end solution design to meet the customer requirements and use cases. Own the performance and scalability of database creation and SQL creation within the Amperity platform. Ability to explain complex technical solutions to a non-technical audience. Understand and provide feedback to Solution Delivery Managers on customer requirements. Implement production grade databases and queries that enable highly visible, and highly valuable, customer use cases to non-technical end users. Provide best practice guidance to customers regarding integration strategy between Amperity, their technical architecture, and 3rd party systems. About You 8 years experience in software development, software implementation, or professional services. 8 years integrating data including various ETL/data service processes. 8 years of experience with relational databases, SQL scripts, optimization, and dealing with large datasets is a requirement. Proven communication and interpersonal skills with both customers and internal stakeholders. Leads and facilitates data discovery sessions to inform solution decisions and configure the solution. Ability to understand the business impacts of technical decisions and is empathetic to the full end to end customer use case. Analyze & design the solution according to project specifications. Should have in-depth knowledge of design issues and best practices. Experience communicating product benefits appropriate for each prospect and documentation experience, with an emphasis on explaining technical concepts to business users. A wide breadth of technical knowledge, with an eagerness to learn and use new technologies. A creative, versatile approach to solving problems with technology - the variety of problems you face will rarely have a well-defined, obvious solution. Basic Unix/Linux/CLI experience Familiarity with various cloud-based technologies (AWS, Azure). A positive can do attitude and tireless work ethic. Driven, self sufficient, and able to thrive and adapt to change in a very fast paced environment. Provide best practice guidance to customers regarding integration strategy between Ability to travel 25% Benefits We offer all the benefits you'd expect from a great place to work: 100% healthcare coverage, 28 days of Annual Leave (inclusive of the usual public holidays in England and Wales), a communications stipend, and the flexibility to do your best work in a modern, comfortable working space. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world class people driving for excellence. Amperity values diversity. We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
16/05/2026
Full time
At Amperity, we're an AI-first company helping the world's leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud, built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK'S Sporting Goods, to turn customer data into a competitive advantage. We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work - from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision making. It's not just a capability; it's part of our DNA. Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world's most innovative companies. With offices in Seattle, New York City, London, and Melbourne, you'll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let's talk. The Role As a Senior Solutions Architect on our Professional Services team, you will partner with Solution Delivery Managers and Customer Solution Engineers to implement Amperity's solution. This is a high impact, collaborative role that will see you own solution architecture, validate technical requirements, lead customers with guidance on best practice technical strategy, and execute a defined project plan for each customer. The role is deeply technical, but also customer-facing and will require familiarity with cloud platforms, database technologies, and SQL. Interesting Problems Own end to end solution design to meet the customer requirements and use cases. Own the performance and scalability of database creation and SQL creation within the Amperity platform. Ability to explain complex technical solutions to a non-technical audience. Understand and provide feedback to Solution Delivery Managers on customer requirements. Implement production grade databases and queries that enable highly visible, and highly valuable, customer use cases to non-technical end users. Provide best practice guidance to customers regarding integration strategy between Amperity, their technical architecture, and 3rd party systems. About You 8 years experience in software development, software implementation, or professional services. 8 years integrating data including various ETL/data service processes. 8 years of experience with relational databases, SQL scripts, optimization, and dealing with large datasets is a requirement. Proven communication and interpersonal skills with both customers and internal stakeholders. Leads and facilitates data discovery sessions to inform solution decisions and configure the solution. Ability to understand the business impacts of technical decisions and is empathetic to the full end to end customer use case. Analyze & design the solution according to project specifications. Should have in-depth knowledge of design issues and best practices. Experience communicating product benefits appropriate for each prospect and documentation experience, with an emphasis on explaining technical concepts to business users. A wide breadth of technical knowledge, with an eagerness to learn and use new technologies. A creative, versatile approach to solving problems with technology - the variety of problems you face will rarely have a well-defined, obvious solution. Basic Unix/Linux/CLI experience Familiarity with various cloud-based technologies (AWS, Azure). A positive can do attitude and tireless work ethic. Driven, self sufficient, and able to thrive and adapt to change in a very fast paced environment. Provide best practice guidance to customers regarding integration strategy between Ability to travel 25% Benefits We offer all the benefits you'd expect from a great place to work: 100% healthcare coverage, 28 days of Annual Leave (inclusive of the usual public holidays in England and Wales), a communications stipend, and the flexibility to do your best work in a modern, comfortable working space. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world class people driving for excellence. Amperity values diversity. We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
Location London, UK Employment Type Full time Location Type On-site Department Engineering About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we're just getting started. Join a universe of professional opportunities, develop and support large scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you're passionate about pushing the boundaries of AI, we want you on board! Job Description We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production level deployment, this role offers the opportunity to work at the forefront of generative AI innovation. Key Responsibilities Develop and train large scale generative models, pushing the boundaries of AI capabilities. Design and run experiments to explore and refine model architectures, analyze results, and implement data driven improvements. Continuously innovate by developing and deploying new features that enhance user experiences. Requirements Proven experience in training large scale generative models (e.g., image generation, audio synthesis, or large language models). Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state of the art neural network architectures. Hands on experience building end to end machine learning pipelines, including data collection and pre processing, model training and evaluation, inference serving. Strong software engineering skills, ability to design, implement and maintain high quality code. What We Offer Competitive salary and equity. Opportunities for professional growth and leadership. A collaborative, research driven environment. The chance to work on cutting edge AI projects that redefine creative workflows. The opportunity to contribute to open source AI research and publications.
16/05/2026
Full time
Location London, UK Employment Type Full time Location Type On-site Department Engineering About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we're just getting started. Join a universe of professional opportunities, develop and support large scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you're passionate about pushing the boundaries of AI, we want you on board! Job Description We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production level deployment, this role offers the opportunity to work at the forefront of generative AI innovation. Key Responsibilities Develop and train large scale generative models, pushing the boundaries of AI capabilities. Design and run experiments to explore and refine model architectures, analyze results, and implement data driven improvements. Continuously innovate by developing and deploying new features that enhance user experiences. Requirements Proven experience in training large scale generative models (e.g., image generation, audio synthesis, or large language models). Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state of the art neural network architectures. Hands on experience building end to end machine learning pipelines, including data collection and pre processing, model training and evaluation, inference serving. Strong software engineering skills, ability to design, implement and maintain high quality code. What We Offer Competitive salary and equity. Opportunities for professional growth and leadership. A collaborative, research driven environment. The chance to work on cutting edge AI projects that redefine creative workflows. The opportunity to contribute to open source AI research and publications.