Overview We are seeking an exceptional candidate for the EMBL-EBI Faculty role of Protein Function Development Team Leader, to be responsible for leading the engineering and bioinformatics infrastructure that underpins one of the most important resources in the life sciences, Uniprot. UniProt is the world's leading resource for protein sequences and functional annotation, used by hundreds of thousands of researchers globally every day. It provides comprehensive annotations across an ever-growing number of proteomes spanning the tree of life, integrating experimentally determined functional data from the literature with state-of-the-art computational predictions and richly interconnected data from partner resources. As the demands on UniProt continue to grow, in data volume, annotation depth, and the diversity of research applications it supports, a robust and forward-looking bioinformatics infrastructure is essential to its continued success and impact. This role reports to Sameer Velankar, Head of the Macromolecular Structure, Chemistry and Bioimaging section, and will work closely with Alex Bateman, Head of Protein Sequence Resources, and Stephanie Lo, Protein Function Content Team Leader, who leads the UniProt biocuration team. Your role As our Protein Function Development Team Leader you will lead a multidisciplinary team of approximately 17 staff, including software engineers, data scientists, bioinformaticians, and UX experts, in the production and delivery of protein data at scale. The team is responsible for designing and maintaining novel data stores and production workflows, developing innovative methods for protein annotation, and building and sustaining the website and dissemination technologies that make UniProt accessible to the global research community, including APIs and advanced data visualisations. You will bring strong knowledge of production and website architectures, guiding the team towards sustainable, scalable solutions that can meet the growing demands placed on UniProt. They will coordinate the development of new interfaces and analytical tools for protein representation and analysis, while overseeing the maintenance of existing tools and codebases and leading their migration to modern technologies and infrastructures. A critical aspect of this role is strategic foresight: anticipating future demands from biological research, evaluating emerging technical advances, and balancing innovation with the continued delivery of core priorities. This includes driving the integration of AI-based tools and approaches to enhance UniProt's services, annotation processes, and user experience. A key strategic priority for this hire is to lead a cultural and technical shift towards AI-first development, leveraging AI coding assistants and generative tools to accelerate delivery, improve code quality, and reduce technical debt across both platforms. Collaboration is central to this role. The Team Leader will work closely with the global UniProt consortium partners, engage with diverse user and data resource communities, and maintain strong working relationships with EMBL-EBI resources with which UniProt shares significant data flows and interdependencies. You have Advanced degree (PhD preferred) in bioinformatics, computer science, or a related field Proven leadership experience in scientific data management, software development, or bioinformatics, with a track record of delivering high-quality results in a multidisciplinary environment Experience designing, developing, and maintaining scalable databases, services, and websites, with the ability to organise and process data at terabyte scale Strong knowledge of software engineering principles and deployment infrastructures, including commercial cloud platforms and container orchestration technologies such as Kubernetes Demonstrated experience using AI coding tools (e.g. Claude Code, Codex, GitHub Copilot, Cursor) in a production environment. Familiarity with data standards and interoperability frameworks relevant to the life sciences Demonstrated experience in project management and staff management, including mentoring and developing team members Experience in grant writing, grant management, and reporting to funding bodies Strategic vision and the ambition to develop high-impact, globally used data services for the life sciences research community A collaborative approach to working with international partners, consortia, and user communities A proactive and positive problem-solving mindset Inclusive leadership skills - actively seek to identify your own biases and consider a range of perspectives to inform decision-making and the way you lead and collaborate with others Demonstrate key leadership qualities self awareness, empathy, growth mindset, active listening, empowerment of others and superior communication skills You should be dedicated to developing effective relationships across EMBL demonstrating a commitment to inclusive behaviours You may also have Knowledge of computational methods for protein function prediction Experience in budget management and financial planning A proven record of leading and delivering high-impact scientific projects An established profile in the international community in an area related to protein data or bioinformatics Interviews: Likely to take place in person at our campus in Hinxton, on Wednesday 19th August 2026. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £717per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a5 year contract, renewable to a maximum of 9 years Salary: Monthly salary starting at£5,982 after tax (but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. How to apply: To apply please submit a cover letter and a CV through our online system before the closing date. DORA - EMBL is a signatory of DORA and is committed to hiring and training outstanding research, service, and administrative personnel. To apply, please submit a covering letter and CV via our online system. Applications will close on 15/07/2026 JBRP1_UKTJ
16/06/2026
Full time
Overview We are seeking an exceptional candidate for the EMBL-EBI Faculty role of Protein Function Development Team Leader, to be responsible for leading the engineering and bioinformatics infrastructure that underpins one of the most important resources in the life sciences, Uniprot. UniProt is the world's leading resource for protein sequences and functional annotation, used by hundreds of thousands of researchers globally every day. It provides comprehensive annotations across an ever-growing number of proteomes spanning the tree of life, integrating experimentally determined functional data from the literature with state-of-the-art computational predictions and richly interconnected data from partner resources. As the demands on UniProt continue to grow, in data volume, annotation depth, and the diversity of research applications it supports, a robust and forward-looking bioinformatics infrastructure is essential to its continued success and impact. This role reports to Sameer Velankar, Head of the Macromolecular Structure, Chemistry and Bioimaging section, and will work closely with Alex Bateman, Head of Protein Sequence Resources, and Stephanie Lo, Protein Function Content Team Leader, who leads the UniProt biocuration team. Your role As our Protein Function Development Team Leader you will lead a multidisciplinary team of approximately 17 staff, including software engineers, data scientists, bioinformaticians, and UX experts, in the production and delivery of protein data at scale. The team is responsible for designing and maintaining novel data stores and production workflows, developing innovative methods for protein annotation, and building and sustaining the website and dissemination technologies that make UniProt accessible to the global research community, including APIs and advanced data visualisations. You will bring strong knowledge of production and website architectures, guiding the team towards sustainable, scalable solutions that can meet the growing demands placed on UniProt. They will coordinate the development of new interfaces and analytical tools for protein representation and analysis, while overseeing the maintenance of existing tools and codebases and leading their migration to modern technologies and infrastructures. A critical aspect of this role is strategic foresight: anticipating future demands from biological research, evaluating emerging technical advances, and balancing innovation with the continued delivery of core priorities. This includes driving the integration of AI-based tools and approaches to enhance UniProt's services, annotation processes, and user experience. A key strategic priority for this hire is to lead a cultural and technical shift towards AI-first development, leveraging AI coding assistants and generative tools to accelerate delivery, improve code quality, and reduce technical debt across both platforms. Collaboration is central to this role. The Team Leader will work closely with the global UniProt consortium partners, engage with diverse user and data resource communities, and maintain strong working relationships with EMBL-EBI resources with which UniProt shares significant data flows and interdependencies. You have Advanced degree (PhD preferred) in bioinformatics, computer science, or a related field Proven leadership experience in scientific data management, software development, or bioinformatics, with a track record of delivering high-quality results in a multidisciplinary environment Experience designing, developing, and maintaining scalable databases, services, and websites, with the ability to organise and process data at terabyte scale Strong knowledge of software engineering principles and deployment infrastructures, including commercial cloud platforms and container orchestration technologies such as Kubernetes Demonstrated experience using AI coding tools (e.g. Claude Code, Codex, GitHub Copilot, Cursor) in a production environment. Familiarity with data standards and interoperability frameworks relevant to the life sciences Demonstrated experience in project management and staff management, including mentoring and developing team members Experience in grant writing, grant management, and reporting to funding bodies Strategic vision and the ambition to develop high-impact, globally used data services for the life sciences research community A collaborative approach to working with international partners, consortia, and user communities A proactive and positive problem-solving mindset Inclusive leadership skills - actively seek to identify your own biases and consider a range of perspectives to inform decision-making and the way you lead and collaborate with others Demonstrate key leadership qualities self awareness, empathy, growth mindset, active listening, empowerment of others and superior communication skills You should be dedicated to developing effective relationships across EMBL demonstrating a commitment to inclusive behaviours You may also have Knowledge of computational methods for protein function prediction Experience in budget management and financial planning A proven record of leading and delivering high-impact scientific projects An established profile in the international community in an area related to protein data or bioinformatics Interviews: Likely to take place in person at our campus in Hinxton, on Wednesday 19th August 2026. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £717per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a5 year contract, renewable to a maximum of 9 years Salary: Monthly salary starting at£5,982 after tax (but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. How to apply: To apply please submit a cover letter and a CV through our online system before the closing date. DORA - EMBL is a signatory of DORA and is committed to hiring and training outstanding research, service, and administrative personnel. To apply, please submit a covering letter and CV via our online system. Applications will close on 15/07/2026 JBRP1_UKTJ
About the team In your role, you will lead the software development team responsible for the Pfam and InterPro databases. These are two of the worlds most widely used protein family and domain annotation resources, serving thousands of users globally. Reporting to the Head of the Protein Families Group at EMBL-EBI, this role sits at the intersection of cutting-edge bioinformatics and modern software engineering. The team currently comprises of several software developers and engineers. We are seeking to hire an InterPro/Pfam Software Project leader to lead a cultural and technical shift towards AI-first development, leveraging AI coding assistants and generative tools to accelerate delivery, improve code quality, and reduce technical debt across both platforms. The chosen candidate will ensure the successful migration of development workflows to AI-assisted practices; delivery of major platform milestones on time and to quality; growth of team capability; and ongoing reliability and performance of the Pfam and InterPro production systems. Duties and Responsibilities In this role you will: Lead the Pfam/InterPro software development team, managing workload, priorities, and professional development. Drive the transition to AI-first software development practices, embedding AI coding tools (e.g. Claude Code, GitHub Copilot) into production workflows. Own software architecture and design decisions across the Pfam and InterPro platforms, ensuring scalability, maintainability, and performance. Design and maintain relational and NoSQL database schemas supporting large-scale protein family and domain annotation data. Lead agile development cycles: sprint planning, code review, CI/CD pipeline management, and release coordination. Oversee containerised deployment infrastructure using Kubernetes and cloud-native services. Collaborate with bioinformaticians, data scientists, and external stakeholders to translate scientific requirements into robust software solutions. Champion software engineering best practices: documentation, testing, version control, and security. Evaluate and adopt emerging technologies, including AI/ML tools, to improve developer productivity and system capabilities. Contribute to grant applications, publications, and presentations relating to software infrastructure where appropriate. You have Degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience. Substantial experience in software design and architecture, including design of large-scale, production-grade systems. Demonstrated experience using AI coding tools (e.g. Claude Code, Codex, GitHub Copilot, Cursor) in a production environment. Strong Python programming skills with experience building and maintaining production services. Proven expertise in database design, including relational (e.g. MySQL, PostgreSQL) and/or NoSQL systems. Experience leading or mentoring a software development team. Familiarity with modern DevOps practices: CI/CD, containerisation (Docker), and version control (Git). Excellent communication skills; ability to work effectively in a multidisciplinary, international environment. You may also have Experience with Kubernetes for container orchestration and cloud-native deployments. Java programming experience. Experience with web technologies (e.g. REST APIs, React, JavaScript/TypeScript). Background in bioinformatics or life sciences software development. Familiarity with Pfam, InterPro, or related protein family/domain resources. Track record of contributing to open-source projects. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 3 year contract renewable up to 9 years Salary: Monthly salary starting at£4,206after tax (but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. How to apply: To apply please submit a cover letter and a CV through our online system before the closing date. To apply, please submit a covering letter and CV via our online system. Applications will close on 05/07/2026 JBRP1_UKTJ
12/06/2026
Full time
About the team In your role, you will lead the software development team responsible for the Pfam and InterPro databases. These are two of the worlds most widely used protein family and domain annotation resources, serving thousands of users globally. Reporting to the Head of the Protein Families Group at EMBL-EBI, this role sits at the intersection of cutting-edge bioinformatics and modern software engineering. The team currently comprises of several software developers and engineers. We are seeking to hire an InterPro/Pfam Software Project leader to lead a cultural and technical shift towards AI-first development, leveraging AI coding assistants and generative tools to accelerate delivery, improve code quality, and reduce technical debt across both platforms. The chosen candidate will ensure the successful migration of development workflows to AI-assisted practices; delivery of major platform milestones on time and to quality; growth of team capability; and ongoing reliability and performance of the Pfam and InterPro production systems. Duties and Responsibilities In this role you will: Lead the Pfam/InterPro software development team, managing workload, priorities, and professional development. Drive the transition to AI-first software development practices, embedding AI coding tools (e.g. Claude Code, GitHub Copilot) into production workflows. Own software architecture and design decisions across the Pfam and InterPro platforms, ensuring scalability, maintainability, and performance. Design and maintain relational and NoSQL database schemas supporting large-scale protein family and domain annotation data. Lead agile development cycles: sprint planning, code review, CI/CD pipeline management, and release coordination. Oversee containerised deployment infrastructure using Kubernetes and cloud-native services. Collaborate with bioinformaticians, data scientists, and external stakeholders to translate scientific requirements into robust software solutions. Champion software engineering best practices: documentation, testing, version control, and security. Evaluate and adopt emerging technologies, including AI/ML tools, to improve developer productivity and system capabilities. Contribute to grant applications, publications, and presentations relating to software infrastructure where appropriate. You have Degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience. Substantial experience in software design and architecture, including design of large-scale, production-grade systems. Demonstrated experience using AI coding tools (e.g. Claude Code, Codex, GitHub Copilot, Cursor) in a production environment. Strong Python programming skills with experience building and maintaining production services. Proven expertise in database design, including relational (e.g. MySQL, PostgreSQL) and/or NoSQL systems. Experience leading or mentoring a software development team. Familiarity with modern DevOps practices: CI/CD, containerisation (Docker), and version control (Git). Excellent communication skills; ability to work effectively in a multidisciplinary, international environment. You may also have Experience with Kubernetes for container orchestration and cloud-native deployments. Java programming experience. Experience with web technologies (e.g. REST APIs, React, JavaScript/TypeScript). Background in bioinformatics or life sciences software development. Familiarity with Pfam, InterPro, or related protein family/domain resources. Track record of contributing to open-source projects. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 3 year contract renewable up to 9 years Salary: Monthly salary starting at£4,206after tax (but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. How to apply: To apply please submit a cover letter and a CV through our online system before the closing date. To apply, please submit a covering letter and CV via our online system. Applications will close on 05/07/2026 JBRP1_UKTJ
About the job The primary goal of a Developer Relations is to engage, educate, and inspire the developer community - building trust, driving adoption of our technology, and ensuring developers have an exceptional experience with our products. This involves creating technical content, presenting at events, gathering feedback, and serving as the voice of the developer both externally and internally. The role is focused on bridging the gap between developers and our product teams, ensuring our solutions are accessible, well understood, and developer friendly, while fostering community growth, promoting best practices, and driving continuous improvement in how developers discover, learn, and build with our technology. Pear is a combined Peer to Peer (P2P) Runtime, Development & Deployment tool. Pear makes it possible to build, share and extend P2P applications using common Web and Mobile technology. Herein is everything needed to create unstoppable, zero infrastructure P2P applications for Desktop, Terminal & Mobile. Developer Advocacy & Community Building Build and nurture relationships with developers, partners, and open source communities. Engage and interact with the developer ecosystem - hosting AMAs, office hours, webinars, and play a part in online communities. Collect and synthesize developer feedback to inform product and engineering teams. Identify influential developers, projects, and communities to establish collaboration opportunities. Technical Content & Enablement Create and maintain high quality technical content (blog posts, tutorials, sample apps, videos, documentation, SDK guides, etc.) directly targeted to developers. Develop demos, prototypes, and reference implementations that showcase real world use cases. Contribute to improving developer experience through documentation feedback, onboarding flows, and API design suggestions. Support developer onboarding through workshops, hackathons, and training sessions. Product Evangelism Advocate for the company's technology stack at industry events, developer meetups, and online communities. Translate complex technical concepts into clear, relatable value propositions. Collaborate with marketing to align technical storytelling with broader brand messaging. Track and report community sentiment and adoption metrics to measure evangelism impact. Cross Functional Collaboration Partner closely with engineering, product management, and marketing to align developer needs with product strategy. Provide structured feedback loops between external developers and internal teams to improve product usability. Support launch strategies for new developer facing features, APIs, and SDKs. Contribute to roadmap discussions to ensure developer experience remains a strategic priority. Support initial technical discussions with potential customers and partners. Thought Leadership Represent the company as a credible technical voice in the ecosystem through public speaking, open source contributions, and community engagement. Stay ahead of industry trends, tools, and frameworks relevant to the developer community. Mentor internal teams on effective developer communication and community engagement practices. Qualifications Bachelor's degree in Computer Science, Software Engineering, or related field - or equivalent professional experience. 3+ years of professional software development experience. Previous experience as a Developer Advocate, Developer Relations, or Technical Community Manager. Strong hands on experience with JavaScript, TypeScript, and Node.js - able to write production level code and explain it clearly to other developers. Demonstrated experience building, testing, and maintaining applications or APIs. Proven ability to create technical content (tutorials, sample projects, blog posts, videos, or documentation) that educates and inspires developers. Experience presenting at public events, such as developer conferences, meetups, webinars, or internal company talks. Excellent communication and presentation skills, both written and verbal, with the ability to translate complex technical concepts into simple, engaging messages. Experience engaging with developer communities through events, GitHub, forums, or social media. Strong understanding of developer experience principles and best practices. Ability to collaborate effectively with product, engineering, and marketing teams. Strong production experience with React Native and/or Electron (shipping apps that real users love). Very comfortable with Node.js and modern JavaScript/TypeScript ecosystems. English fluency - outstanding written and verbal communication skills are required for public facing content and developer engagement. Preferred Qualifications Experience designing, documenting, or promoting SDKs or developer tools. Experience developing or integrating apps (web, mobile, or desktop). 4-6 years of experience in software development or developer relations. Experience leveraging AI tools (such as Cursor, Codex, or similar AI assisted development workflows) to enhance productivity and problem solving efficiency. Contributions to open source projects or maintaining public GitHub repositories. Understanding of DevRel success metrics - content reach, community engagement, and product adoption. Experience in technical writing, developer education, or public speaking. Passion for community building, mentoring, and empowering developers through content and collaboration.
09/06/2026
Full time
About the job The primary goal of a Developer Relations is to engage, educate, and inspire the developer community - building trust, driving adoption of our technology, and ensuring developers have an exceptional experience with our products. This involves creating technical content, presenting at events, gathering feedback, and serving as the voice of the developer both externally and internally. The role is focused on bridging the gap between developers and our product teams, ensuring our solutions are accessible, well understood, and developer friendly, while fostering community growth, promoting best practices, and driving continuous improvement in how developers discover, learn, and build with our technology. Pear is a combined Peer to Peer (P2P) Runtime, Development & Deployment tool. Pear makes it possible to build, share and extend P2P applications using common Web and Mobile technology. Herein is everything needed to create unstoppable, zero infrastructure P2P applications for Desktop, Terminal & Mobile. Developer Advocacy & Community Building Build and nurture relationships with developers, partners, and open source communities. Engage and interact with the developer ecosystem - hosting AMAs, office hours, webinars, and play a part in online communities. Collect and synthesize developer feedback to inform product and engineering teams. Identify influential developers, projects, and communities to establish collaboration opportunities. Technical Content & Enablement Create and maintain high quality technical content (blog posts, tutorials, sample apps, videos, documentation, SDK guides, etc.) directly targeted to developers. Develop demos, prototypes, and reference implementations that showcase real world use cases. Contribute to improving developer experience through documentation feedback, onboarding flows, and API design suggestions. Support developer onboarding through workshops, hackathons, and training sessions. Product Evangelism Advocate for the company's technology stack at industry events, developer meetups, and online communities. Translate complex technical concepts into clear, relatable value propositions. Collaborate with marketing to align technical storytelling with broader brand messaging. Track and report community sentiment and adoption metrics to measure evangelism impact. Cross Functional Collaboration Partner closely with engineering, product management, and marketing to align developer needs with product strategy. Provide structured feedback loops between external developers and internal teams to improve product usability. Support launch strategies for new developer facing features, APIs, and SDKs. Contribute to roadmap discussions to ensure developer experience remains a strategic priority. Support initial technical discussions with potential customers and partners. Thought Leadership Represent the company as a credible technical voice in the ecosystem through public speaking, open source contributions, and community engagement. Stay ahead of industry trends, tools, and frameworks relevant to the developer community. Mentor internal teams on effective developer communication and community engagement practices. Qualifications Bachelor's degree in Computer Science, Software Engineering, or related field - or equivalent professional experience. 3+ years of professional software development experience. Previous experience as a Developer Advocate, Developer Relations, or Technical Community Manager. Strong hands on experience with JavaScript, TypeScript, and Node.js - able to write production level code and explain it clearly to other developers. Demonstrated experience building, testing, and maintaining applications or APIs. Proven ability to create technical content (tutorials, sample projects, blog posts, videos, or documentation) that educates and inspires developers. Experience presenting at public events, such as developer conferences, meetups, webinars, or internal company talks. Excellent communication and presentation skills, both written and verbal, with the ability to translate complex technical concepts into simple, engaging messages. Experience engaging with developer communities through events, GitHub, forums, or social media. Strong understanding of developer experience principles and best practices. Ability to collaborate effectively with product, engineering, and marketing teams. Strong production experience with React Native and/or Electron (shipping apps that real users love). Very comfortable with Node.js and modern JavaScript/TypeScript ecosystems. English fluency - outstanding written and verbal communication skills are required for public facing content and developer engagement. Preferred Qualifications Experience designing, documenting, or promoting SDKs or developer tools. Experience developing or integrating apps (web, mobile, or desktop). 4-6 years of experience in software development or developer relations. Experience leveraging AI tools (such as Cursor, Codex, or similar AI assisted development workflows) to enhance productivity and problem solving efficiency. Contributions to open source projects or maintaining public GitHub repositories. Understanding of DevRel success metrics - content reach, community engagement, and product adoption. Experience in technical writing, developer education, or public speaking. Passion for community building, mentoring, and empowering developers through content and collaboration.
About the Job The primary goal of a Developer Relations is to engage, educate, and inspire the developer community - building trust, driving adoption of our technology, and ensuring developers have an exceptional experience with our products. This involves creating technical content, presenting at events, gathering feedback, and serving as the voice of the developer both externally and internally. The role is focused on bridging the gap between developers and our product teams, ensuring our solutions are accessible, well-understood, and developer-friendly, while fostering community growth, promoting best practices, and driving continuous improvement in how developers discover, learn, and build with our technology. QVAC is a cutting-edge development platform designed for building privacy-focused AI applications. Unlike traditional AI tools that rely heavily on cloud-based infrastructure, QVAC is designed to run entirely on local devices, giving users full control over their data. Responsibilities Build and nurture relationships with developers, partners, and open-source communities. Engage and interact with the developer ecosystem - hosting AMAs, office hours, webinars, and play a part in online communities. Collect and synthesize developer feedback to inform product and engineering teams. Identify influential developers, projects, and communities to establish collaboration opportunities. Technical Content & Enablement Create and maintain high-quality technical content (blog posts, tutorials, sample apps, videos, documentation, SDK guides, etc.) directly targeted to developers. Develop demos, prototypes, and reference implementations that showcase real-world use cases. Contribute to improving developer experience through documentation feedback, onboarding flows, and API design suggestions. Support developer onboarding through workshops, hackathons, and training sessions. Product Evangelism Advocate for the company's technology stack at industry events, developer meetups, and online communities. Translate complex technical concepts into clear, relatable value propositions. Collaborate with marketing to align technical storytelling with broader brand messaging. Track and report community sentiment and adoption metrics to measure evangelism impact. Cross-Functional Collaboration Partner closely with engineering, product management, and marketing to align developer needs with product strategy. Provide structured feedback loops between external developers and internal teams to improve product usability. Support launch strategies for new developer-facing features, APIs, and SDKs. Contribute to roadmap discussions to ensure developer experience remains a strategic priority. Support initial technical discussions with potential customers and partners. Thought Leadership Represent the company as a credible technical voice in the ecosystem through public speaking, open-source contributions, and community engagement. Stay ahead of industry trends, tools, and frameworks relevant to the developer community. Mentor internal teams on effective developer communication and community engagement practices. Qualifications Bachelor's degree in Computer Science, Software Engineering, or related field - or equivalent professional experience. 3+ years of professional software development experience. Previous experience as a Developer Advocate, Developer Relations, or Technical Community Manager. Strong hands on experience with JavaScript, TypeScript, and Node.js - able to write production-level code and explain it clearly to other developers. Demonstrated experience building, testing, and maintaining applications or APIs. Proven ability to create technical content (tutorials, sample projects, blog posts, videos, or documentation) that educates and inspires developers. Experience presenting at public events, such as developer conferences, meetups, webinars, or internal company talks. Excellent communication and presentation skills, both written and verbal, with the ability to translate complex technical concepts into simple, engaging messages. Experience engaging with developer communities through events, GitHub, forums, or social media. Strong understanding of developer experience principles and best practices. Ability to collaborate effectively with product, engineering, and marketing teams. Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures. Experience with AI or ML technologies, such as building or integrating LLMs, chatbots, or AI-driven SDKs and APIs. English fluency - outstanding written and verbal communication skills are required for public-facing content and developer engagement. Preferred Experience designing, documenting, or promoting SDKs or developer tools. Experience developing or integrating apps (web, mobile, or desktop). 4-6 years of experience in software development or developer relations. Experience leveraging AI tools (such as Cursor, Codex, or similar AI-assisted development workflows) to enhance productivity and problem-solving efficiency. Contributions to open-source projects or maintaining public GitHub repositories. Understanding of DevRel success metrics - content reach, community engagement, and product adoption. Experience in technical writing, developer education, or public speaking. Passion for community building, mentoring, and empowering developers through content and collaboration.
09/06/2026
Full time
About the Job The primary goal of a Developer Relations is to engage, educate, and inspire the developer community - building trust, driving adoption of our technology, and ensuring developers have an exceptional experience with our products. This involves creating technical content, presenting at events, gathering feedback, and serving as the voice of the developer both externally and internally. The role is focused on bridging the gap between developers and our product teams, ensuring our solutions are accessible, well-understood, and developer-friendly, while fostering community growth, promoting best practices, and driving continuous improvement in how developers discover, learn, and build with our technology. QVAC is a cutting-edge development platform designed for building privacy-focused AI applications. Unlike traditional AI tools that rely heavily on cloud-based infrastructure, QVAC is designed to run entirely on local devices, giving users full control over their data. Responsibilities Build and nurture relationships with developers, partners, and open-source communities. Engage and interact with the developer ecosystem - hosting AMAs, office hours, webinars, and play a part in online communities. Collect and synthesize developer feedback to inform product and engineering teams. Identify influential developers, projects, and communities to establish collaboration opportunities. Technical Content & Enablement Create and maintain high-quality technical content (blog posts, tutorials, sample apps, videos, documentation, SDK guides, etc.) directly targeted to developers. Develop demos, prototypes, and reference implementations that showcase real-world use cases. Contribute to improving developer experience through documentation feedback, onboarding flows, and API design suggestions. Support developer onboarding through workshops, hackathons, and training sessions. Product Evangelism Advocate for the company's technology stack at industry events, developer meetups, and online communities. Translate complex technical concepts into clear, relatable value propositions. Collaborate with marketing to align technical storytelling with broader brand messaging. Track and report community sentiment and adoption metrics to measure evangelism impact. Cross-Functional Collaboration Partner closely with engineering, product management, and marketing to align developer needs with product strategy. Provide structured feedback loops between external developers and internal teams to improve product usability. Support launch strategies for new developer-facing features, APIs, and SDKs. Contribute to roadmap discussions to ensure developer experience remains a strategic priority. Support initial technical discussions with potential customers and partners. Thought Leadership Represent the company as a credible technical voice in the ecosystem through public speaking, open-source contributions, and community engagement. Stay ahead of industry trends, tools, and frameworks relevant to the developer community. Mentor internal teams on effective developer communication and community engagement practices. Qualifications Bachelor's degree in Computer Science, Software Engineering, or related field - or equivalent professional experience. 3+ years of professional software development experience. Previous experience as a Developer Advocate, Developer Relations, or Technical Community Manager. Strong hands on experience with JavaScript, TypeScript, and Node.js - able to write production-level code and explain it clearly to other developers. Demonstrated experience building, testing, and maintaining applications or APIs. Proven ability to create technical content (tutorials, sample projects, blog posts, videos, or documentation) that educates and inspires developers. Experience presenting at public events, such as developer conferences, meetups, webinars, or internal company talks. Excellent communication and presentation skills, both written and verbal, with the ability to translate complex technical concepts into simple, engaging messages. Experience engaging with developer communities through events, GitHub, forums, or social media. Strong understanding of developer experience principles and best practices. Ability to collaborate effectively with product, engineering, and marketing teams. Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures. Experience with AI or ML technologies, such as building or integrating LLMs, chatbots, or AI-driven SDKs and APIs. English fluency - outstanding written and verbal communication skills are required for public-facing content and developer engagement. Preferred Experience designing, documenting, or promoting SDKs or developer tools. Experience developing or integrating apps (web, mobile, or desktop). 4-6 years of experience in software development or developer relations. Experience leveraging AI tools (such as Cursor, Codex, or similar AI-assisted development workflows) to enhance productivity and problem-solving efficiency. Contributions to open-source projects or maintaining public GitHub repositories. Understanding of DevRel success metrics - content reach, community engagement, and product adoption. Experience in technical writing, developer education, or public speaking. Passion for community building, mentoring, and empowering developers through content and collaboration.
Location: Remote Salary: £80,000 - £90,000 About us At Arbor, we're on a mission to transform the way schools work for the better. We believe in a future of work in schools where being challenged doesn't mean being burnt out and overworked. Where data guides progress without overwhelming staff. And where everyone working in a school is reminded why they got into education every day. Our MIS and school management tools are already making a difference in over 12,000 schools and trusts. Giving time and power back to staff, turning data into clear, actionable insights, and supporting happier working days. At the heart of our brand is a recognition that the challenges schools face today aren't just about efficiency, outputs and productivity - but about creating happier working lives for the people who drive education everyday: the staff. We want to make schools more joyful places to work, as well as learn. About the role We are looking for an experienced and forward thinking Developer Experience Engineer (DevEx) to join our Engineering team and help us shape and deliver the next generation of Arbor's developer experience. The remit and focus of the role is to build the tools, templates, and automation that improve how our engineers design, build, and deploy software, securely and efficiently. You will play a key role in establishing our Internal Developer Platform (IDP), standardising engineering workflows, embedding AI assisted development, and strengthening our secure by design culture through close collaboration with the DevSecOps function. It's a broad and exciting role, so we're looking for someone up for a challenge - if you're a collaborative and highly technical candidate, this is the role for you. Core responsibilities Internal Developer Platform (IDP) Design, build, and maintain Arbor's IDP, providing self service tooling, consistent build pipelines, and standardised deployment workflows. Develop project scaffolding and templates that allow engineers to rapidly bootstrap new services with best practices built in. Integrate core engineering systems (CI/CD, observability, service catalogue, documentation) to provide a joined up developer experience. Collaborate with the Platform Engineering and DevSecOps teams to ensure the IDP embeds security scanning, dependency management, and compliance controls by default. AI Enabled Developer Productivity Embed AI assisted tooling (e.g. Claude Code, Codex etc) into the developer workflow. Partner with the Head of Developer Productivity to define and measure AI efficiency metrics. Develop plugins, workflows, or integrations that help engineers use AI tools safely and effectively. Contribute to the continuous improvement of AI onboarding, training, and developer enablement. Tooling & Workflow Standardisation Consolidate and rationalise the engineering toolchain, ensuring consistency across teams. Build automations and command line utilities to streamline repetitive development tasks. Maintain and improve shared build/test/deploy templates and scripts. Collaborate with teams to identify pain points in the development lifecycle and propose solutions. Collaborate with DevSecOps to build and maintain reusable secure coding templates, CI/CD guardrails, and compliance checks. Metrics & Continuous Improvement Contribute to the collection and reporting of developer productivity data (e.g. build times, PR cycle times, deployment frequency). Support automation and observability for key developer metrics. Participate in post implementation reviews to quantify the impact of new tooling or process changes. About you Strong background in software engineering (hands on experience with modern backend or full stack development). Experience designing and building developer facing tooling, pipelines, or platform components. Familiarity with Internal Developer Platforms (e.g. Atlassian Compass, Backstage, or similar). Practical experience with CI/CD systems (GitHub Actions, Jenkins, CircleCI, etc.) and cloud native deployment (AWS preferred). Understanding of AI assisted development tools and enthusiasm for driving adoption in a structured, measurable way. Working knowledge of Snyk or equivalent security scanning tools, and understanding of how to embed these in developer workflows. Strong automation skills (Python, Bash, or equivalent scripting). Working knowledge of software delivery metrics (e.g. DORA, SPACE) and experience using data to drive improvement. Collaborative mindset and ability to partner across multiple engineering teams. Bonus skills Experience working in SaaS or multi product environments. Familiarity with service catalogues, developer portals, or platform observability tooling. Exposure to AI model integration or prompt engineering. Experience contributing to open source developer tooling. Previous work in education technology or regulated industries. What we offer The chance to work alongside a team of hard working, passionate people in a role where you'll see the impact of your work everyday. We also offer: A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more! 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas. Life Assurance paid out at 3x annual salary Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks Private Dental Insurance with Bupa Salary sacrifice Pension provided by Scottish Widows Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life! Access to services such as Calm and Bippit (financial wellbeing coaching) All of our roles champion flexible working and we are happy to discuss what this means to you Social committees that plan team, office and company wide events to bring people together and celebrate success Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc) Volunteer with a charity of your choice for a day each year Dog friendly offices! Interview process Phone screen 1st stage 2nd stage We are committed to a fair and comfortable recruitment process, so if you require any reasonable adjustments during your application or interview process, please reach out to a member of the team at . Our commitment is also backed by our partnership with Neurodiversity Consultancy, Lexxic who provide us with training, support and advice. Arbor Education is an equal opportunities organisation Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively encourage applications from people of all backgrounds. Refer a friend Know someone else who would be good for this role? You can refer a friend, family member or colleague, if they are offered a role with Arbor, we will say thank you with a voucher valued up to £200! Simply email: Please note: We are unable to provide visa sponsorship at this time.
31/05/2026
Full time
Location: Remote Salary: £80,000 - £90,000 About us At Arbor, we're on a mission to transform the way schools work for the better. We believe in a future of work in schools where being challenged doesn't mean being burnt out and overworked. Where data guides progress without overwhelming staff. And where everyone working in a school is reminded why they got into education every day. Our MIS and school management tools are already making a difference in over 12,000 schools and trusts. Giving time and power back to staff, turning data into clear, actionable insights, and supporting happier working days. At the heart of our brand is a recognition that the challenges schools face today aren't just about efficiency, outputs and productivity - but about creating happier working lives for the people who drive education everyday: the staff. We want to make schools more joyful places to work, as well as learn. About the role We are looking for an experienced and forward thinking Developer Experience Engineer (DevEx) to join our Engineering team and help us shape and deliver the next generation of Arbor's developer experience. The remit and focus of the role is to build the tools, templates, and automation that improve how our engineers design, build, and deploy software, securely and efficiently. You will play a key role in establishing our Internal Developer Platform (IDP), standardising engineering workflows, embedding AI assisted development, and strengthening our secure by design culture through close collaboration with the DevSecOps function. It's a broad and exciting role, so we're looking for someone up for a challenge - if you're a collaborative and highly technical candidate, this is the role for you. Core responsibilities Internal Developer Platform (IDP) Design, build, and maintain Arbor's IDP, providing self service tooling, consistent build pipelines, and standardised deployment workflows. Develop project scaffolding and templates that allow engineers to rapidly bootstrap new services with best practices built in. Integrate core engineering systems (CI/CD, observability, service catalogue, documentation) to provide a joined up developer experience. Collaborate with the Platform Engineering and DevSecOps teams to ensure the IDP embeds security scanning, dependency management, and compliance controls by default. AI Enabled Developer Productivity Embed AI assisted tooling (e.g. Claude Code, Codex etc) into the developer workflow. Partner with the Head of Developer Productivity to define and measure AI efficiency metrics. Develop plugins, workflows, or integrations that help engineers use AI tools safely and effectively. Contribute to the continuous improvement of AI onboarding, training, and developer enablement. Tooling & Workflow Standardisation Consolidate and rationalise the engineering toolchain, ensuring consistency across teams. Build automations and command line utilities to streamline repetitive development tasks. Maintain and improve shared build/test/deploy templates and scripts. Collaborate with teams to identify pain points in the development lifecycle and propose solutions. Collaborate with DevSecOps to build and maintain reusable secure coding templates, CI/CD guardrails, and compliance checks. Metrics & Continuous Improvement Contribute to the collection and reporting of developer productivity data (e.g. build times, PR cycle times, deployment frequency). Support automation and observability for key developer metrics. Participate in post implementation reviews to quantify the impact of new tooling or process changes. About you Strong background in software engineering (hands on experience with modern backend or full stack development). Experience designing and building developer facing tooling, pipelines, or platform components. Familiarity with Internal Developer Platforms (e.g. Atlassian Compass, Backstage, or similar). Practical experience with CI/CD systems (GitHub Actions, Jenkins, CircleCI, etc.) and cloud native deployment (AWS preferred). Understanding of AI assisted development tools and enthusiasm for driving adoption in a structured, measurable way. Working knowledge of Snyk or equivalent security scanning tools, and understanding of how to embed these in developer workflows. Strong automation skills (Python, Bash, or equivalent scripting). Working knowledge of software delivery metrics (e.g. DORA, SPACE) and experience using data to drive improvement. Collaborative mindset and ability to partner across multiple engineering teams. Bonus skills Experience working in SaaS or multi product environments. Familiarity with service catalogues, developer portals, or platform observability tooling. Exposure to AI model integration or prompt engineering. Experience contributing to open source developer tooling. Previous work in education technology or regulated industries. What we offer The chance to work alongside a team of hard working, passionate people in a role where you'll see the impact of your work everyday. We also offer: A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more! 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas. Life Assurance paid out at 3x annual salary Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks Private Dental Insurance with Bupa Salary sacrifice Pension provided by Scottish Widows Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life! Access to services such as Calm and Bippit (financial wellbeing coaching) All of our roles champion flexible working and we are happy to discuss what this means to you Social committees that plan team, office and company wide events to bring people together and celebrate success Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc) Volunteer with a charity of your choice for a day each year Dog friendly offices! Interview process Phone screen 1st stage 2nd stage We are committed to a fair and comfortable recruitment process, so if you require any reasonable adjustments during your application or interview process, please reach out to a member of the team at . Our commitment is also backed by our partnership with Neurodiversity Consultancy, Lexxic who provide us with training, support and advice. Arbor Education is an equal opportunities organisation Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively encourage applications from people of all backgrounds. Refer a friend Know someone else who would be good for this role? You can refer a friend, family member or colleague, if they are offered a role with Arbor, we will say thank you with a voucher valued up to £200! Simply email: Please note: We are unable to provide visa sponsorship at this time.
Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. THE OPPORTUNITY Join our new AGI safety product team and help transform complex AI research into practical tools that reduce risks from AI. As an applied researcher, you'll work closely with our CEO (also Head of Product), product engineers and the Evals team software engineers to build tools that make AI agent safety accessible at scale for our customers. Our current focus is the monitoring of AI coding agents for AI safety and security failures. You will join a small team and will have significant ability to shape the team & tech, and have the ability to earn responsibility quickly. You will like this opportunity if you're passionate about using empirical research to make AI systems safer in practice. You enjoy the challenge of translating theoretical AI risks into concrete detection mechanisms. You thrive on rapid iteration and learning from data. You want your research to directly impact real-world AI safety. KEY RESPONSIBILITIES Research & Development Systematically collect and catalog coding agent failure modes from real-world instances, public examples, research literature, and theoretical predictions Design and conduct experiments to test monitor effectiveness across different failure modes and agent behaviors Build and maintain evaluation frameworks to measure progress on monitoring capabilities Iterate on monitoring approaches based on empirical results, balancing detection accuracy with computational efficiency Stay current with research on AI safety, agent failures, and detection methodologies Stay current with research into coding security and safety vulnerabilities Monitor Design & Optimization Develop a comprehensive library of monitoring prompts tailored to specific failure modes (e.g., security vulnerabilities, goal misalignment, deceptive behaviors) Experiment with different reasoning strategies and output formats to improve monitor reliability Design and test hierarchical monitoring architectures and ensemble approaches Optimize log pre-processing pipelines to extract relevant signals while minimizing latency and computational costs Implement and evaluate different scaffolding approaches for monitors, including chain-of-thought reasoning, structured outputs, and multi-step verification Future projects (likely not in the first 6 months) Fine-tune smaller open-source models to create efficient, specialized monitors for high-volume production environments Design and build agentic monitoring systems that autonomously investigate logs to identify both known and novel failure modes JOB REQUIREMENTS 2+ years of experience conducting empirical research with large language models or AI systems Strong experience with AI coding agents. For example, having extensively used and compared frontier coding agents. For example, having designed / developed coding agents Experience with LLM-as-a-judge setups Experience designing and running experiments, analyzing results, and iterating based on empirical findings (e.g., prompting, scaffolding, agent design, fine-tuning, or RL). Strong Python programming skills Demonstrated ability to work independently on open-ended research problems Bonus: Experience with AI evaluation frameworks, in particular Inspect (though other frameworks are relevant as well) Familiarity with AI safety concepts, particularly agent-related risks Familiarity with computer security, e.g. security testing and secure system design Experience fine-tuning language models or working with smaller open-source models Previous work building developer tools or monitoring systems Publications or contributions to AI safety or ML research Experience with production log systems or production log analysis We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. WHAT YOU'LL ACCOMPLISH IN YOUR FIRST YEAR Build a comprehensive failure mode database: Systematically collect and categorize 100+ distinct AI agent failure modes across safety and security dimensions, creating the foundation for our monitoring library. Develop and validate monitoring approaches: Create and empirically test monitoring prompts and strategies for key failure categories, establishing clear metrics for monitor performance and building evaluation frameworks to track progress. Optimize the monitoring pipeline: Improve log preprocessing and monitor scaffolding to achieve measurable improvements in detection accuracy, false positive rates, and computational efficiency. Advance monitoring capabilities: Begin work on advanced approaches such as fine-tuned specialized monitors or agentic investigation systems, moving our monitoring from reactive detection toward proactive risk identification. REPRESENTATIVE PROJECTS Hierarchical monitoring for coding agent security: Design a multi-layer monitoring system for detecting security vulnerabilities introduced by coding agents. Start by cataloging common security failure modes (e.g., hardcoded credentials, SQL injection vulnerabilities, insecure API calls). Build specialized monitors for each category, then create a hierarchical system where fast, efficient first-pass monitors flag potentially problematic code for deeper investigation by more sophisticated monitors. Validate the system on synthetic test cases and real agent outputs, iterating to optimize the tradeoff between detection rates and false positives while maintaining sub-second latency for most monitoring decisions. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: 100k - 180k GBP ( 135k - 245k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Time Allocation: Full-time Location: The office is in London, and the building is next to the London Initiative for Safe AI (LISA) offices. This is an in-person role. In rare situations, we may consider partially remote arrangements on a case-by case basis Work Visas: We can sponsor UK visas ABOUT THE TEAM The Product team is a new team. Especially early on, you will work closely with Marius Hobbhahn (CEO), Jeremy Neiman (product engineer) and Zak Walters (product engineer). You'll also sometimes work with our SWEs, Rusheb Shah, Andrei Matveiakin, Alex Kedrik, and Glen Rodgers to translate our internal tools into externally usable products. Furthermore you will interact with our researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offer tremendous opportunities, but also present significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations), the science of scheming (e.g., model organisms), and scheming mitigations (e.g., anti-scheming and control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment or collaborate on scheming mitigations. At Apollo, we aim for a culture that emphasizes truth seeking, being goal oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We're now also developing tools and products that make it easier to prevent harms from AI systems widely deployed AI systems. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY How to apply: Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process Our multi-stage process includes a screening interview, a take-home test (approx. 3 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no leetcode-style general coding interviews. If you want to prepare for the interviews, we suggest getting familiar with the evaluations framework Inspect, or by building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. . click apply for full job details
29/05/2026
Full time
Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. THE OPPORTUNITY Join our new AGI safety product team and help transform complex AI research into practical tools that reduce risks from AI. As an applied researcher, you'll work closely with our CEO (also Head of Product), product engineers and the Evals team software engineers to build tools that make AI agent safety accessible at scale for our customers. Our current focus is the monitoring of AI coding agents for AI safety and security failures. You will join a small team and will have significant ability to shape the team & tech, and have the ability to earn responsibility quickly. You will like this opportunity if you're passionate about using empirical research to make AI systems safer in practice. You enjoy the challenge of translating theoretical AI risks into concrete detection mechanisms. You thrive on rapid iteration and learning from data. You want your research to directly impact real-world AI safety. KEY RESPONSIBILITIES Research & Development Systematically collect and catalog coding agent failure modes from real-world instances, public examples, research literature, and theoretical predictions Design and conduct experiments to test monitor effectiveness across different failure modes and agent behaviors Build and maintain evaluation frameworks to measure progress on monitoring capabilities Iterate on monitoring approaches based on empirical results, balancing detection accuracy with computational efficiency Stay current with research on AI safety, agent failures, and detection methodologies Stay current with research into coding security and safety vulnerabilities Monitor Design & Optimization Develop a comprehensive library of monitoring prompts tailored to specific failure modes (e.g., security vulnerabilities, goal misalignment, deceptive behaviors) Experiment with different reasoning strategies and output formats to improve monitor reliability Design and test hierarchical monitoring architectures and ensemble approaches Optimize log pre-processing pipelines to extract relevant signals while minimizing latency and computational costs Implement and evaluate different scaffolding approaches for monitors, including chain-of-thought reasoning, structured outputs, and multi-step verification Future projects (likely not in the first 6 months) Fine-tune smaller open-source models to create efficient, specialized monitors for high-volume production environments Design and build agentic monitoring systems that autonomously investigate logs to identify both known and novel failure modes JOB REQUIREMENTS 2+ years of experience conducting empirical research with large language models or AI systems Strong experience with AI coding agents. For example, having extensively used and compared frontier coding agents. For example, having designed / developed coding agents Experience with LLM-as-a-judge setups Experience designing and running experiments, analyzing results, and iterating based on empirical findings (e.g., prompting, scaffolding, agent design, fine-tuning, or RL). Strong Python programming skills Demonstrated ability to work independently on open-ended research problems Bonus: Experience with AI evaluation frameworks, in particular Inspect (though other frameworks are relevant as well) Familiarity with AI safety concepts, particularly agent-related risks Familiarity with computer security, e.g. security testing and secure system design Experience fine-tuning language models or working with smaller open-source models Previous work building developer tools or monitoring systems Publications or contributions to AI safety or ML research Experience with production log systems or production log analysis We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. WHAT YOU'LL ACCOMPLISH IN YOUR FIRST YEAR Build a comprehensive failure mode database: Systematically collect and categorize 100+ distinct AI agent failure modes across safety and security dimensions, creating the foundation for our monitoring library. Develop and validate monitoring approaches: Create and empirically test monitoring prompts and strategies for key failure categories, establishing clear metrics for monitor performance and building evaluation frameworks to track progress. Optimize the monitoring pipeline: Improve log preprocessing and monitor scaffolding to achieve measurable improvements in detection accuracy, false positive rates, and computational efficiency. Advance monitoring capabilities: Begin work on advanced approaches such as fine-tuned specialized monitors or agentic investigation systems, moving our monitoring from reactive detection toward proactive risk identification. REPRESENTATIVE PROJECTS Hierarchical monitoring for coding agent security: Design a multi-layer monitoring system for detecting security vulnerabilities introduced by coding agents. Start by cataloging common security failure modes (e.g., hardcoded credentials, SQL injection vulnerabilities, insecure API calls). Build specialized monitors for each category, then create a hierarchical system where fast, efficient first-pass monitors flag potentially problematic code for deeper investigation by more sophisticated monitors. Validate the system on synthetic test cases and real agent outputs, iterating to optimize the tradeoff between detection rates and false positives while maintaining sub-second latency for most monitoring decisions. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: 100k - 180k GBP ( 135k - 245k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Time Allocation: Full-time Location: The office is in London, and the building is next to the London Initiative for Safe AI (LISA) offices. This is an in-person role. In rare situations, we may consider partially remote arrangements on a case-by case basis Work Visas: We can sponsor UK visas ABOUT THE TEAM The Product team is a new team. Especially early on, you will work closely with Marius Hobbhahn (CEO), Jeremy Neiman (product engineer) and Zak Walters (product engineer). You'll also sometimes work with our SWEs, Rusheb Shah, Andrei Matveiakin, Alex Kedrik, and Glen Rodgers to translate our internal tools into externally usable products. Furthermore you will interact with our researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offer tremendous opportunities, but also present significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations), the science of scheming (e.g., model organisms), and scheming mitigations (e.g., anti-scheming and control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment or collaborate on scheming mitigations. At Apollo, we aim for a culture that emphasizes truth seeking, being goal oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We're now also developing tools and products that make it easier to prevent harms from AI systems widely deployed AI systems. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY How to apply: Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process Our multi-stage process includes a screening interview, a take-home test (approx. 3 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no leetcode-style general coding interviews. If you want to prepare for the interviews, we suggest getting familiar with the evaluations framework Inspect, or by building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. . click apply for full job details
