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Currently tracking 3 active AI roles, up 22% versus the prior 4 weeks. Primary focus: Agent · Engineering.

Hiring
3 / 3
Momentum (4w)
↑+5 +22%
28 opens last 4w · 23 prior 4w
Salary range
—
Tracked since
Jan 22
last role yesterday
Hiring velocityscroll left for older weeks
2 new roles
Mar 25
1 new role
Apr 1
1 new role
Jul 22
1 new role
Feb 24
1 new role
Mar 10
1 new role
Aug 18
1 new role
Dec 8
4 new roles
Jan 5
1 new role
12
7 new roles
19
6 new roles
26
2 new roles
Feb 2
1 new role
9
14 new roles
16
4 new roles
23
3 new roles
Mar 2
3 new roles
9
22 new roles
16
3 new roles
23
7 new roles
30
9 new roles
Apr 6
4 new roles
13
2 new roles
20
8 new roles
27
9 new roles
May 4
9 new roles
11
Contentful

Contentful

Enterprise · Headless CMS

Jobs (62)

3 AI · 106 total active
FilteredFunctionEngineering×
Show
Active onlyAI only (≥ 7)
Stage
AllServe · 1Agent · 6
Function
AllEngineering · 62Product · 44
Country
AllUnited States · 54United Kingdom · 30Germany · 15Ireland · 5Australia · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Full Stack Engineer - Analytics (f/m/d)
Full Stack Engineer to build AI interfaces and dashboards on top of a data platform, working with AI agents and large-scale data pipelines. Focus on performant UIs and powering APIs.
AgentServeEngineeringBerlin, Germany5d ago7
Senior Software Engineer - Machine Learning (f/m/d)
Senior Machine Learning Engineer at Contentful, focusing on building and optimizing generative AI solutions for enterprise customers. The role involves designing, building, and measuring production ML workloads, optimizing generative AI products for accuracy, speed, and scalability, integrating ML cloud solutions, and applying prompt engineering and fine-tuning. It requires technical leadership in product software development, experience deploying LLM-based models, understanding customer needs, and familiarity with distributed systems and cloud services. The role also emphasizes staying up-to-date on LLM developments like RAGs, open-source models, and agent architectures.
AgentPost-trainEngineeringLondon, United KingdomJan 227
Senior Software Engineer - Machine Learning (f/m/d)
Senior Machine Learning Engineer at Contentful, focusing on building and optimizing generative AI solutions for enterprise customers. The role involves designing, building, and measuring production ML workloads, optimizing generative AI products for accuracy, speed, and scalability, integrating ML cloud solutions, and applying prompt engineering and fine-tuning. It requires technical leadership in product software development, experience deploying LLM-based models, understanding customer needs, and familiarity with distributed systems and cloud services. The role also emphasizes staying up-to-date on LLM developments like RAGs, open-source models, and agent architectures.
AgentPost-trainEngineeringLondon, United KingdomJan 227
Senior Product Architect
This role focuses on designing and building internal tools to improve how various teams at Contentful operate, with a significant portion dedicated to hands-on implementation. It involves owning technical design, prototyping, and operationalizing systems, including exploring AI-assisted workflows to enhance internal tools and development processes. The goal is to create high-leverage internal products that bring order to workflows and deliver demonstrable value.
—EngineeringDenver, COyesterday5
Senior Product Architect
This role focuses on designing and building internal tools to improve how various teams at Contentful operate, with a significant portion dedicated to hands-on implementation. It involves owning technical design, prototyping, and operationalizing systems, including exploring AI-assisted workflows to enhance internal tools and development processes. The goal is to create high-leverage internal products that bring order to workflows and deliver demonstrable value.
—EngineeringDenver, COyesterday5
Senior Product Architect
This role focuses on designing and building internal tools to improve how various teams at Contentful operate, with a significant portion dedicated to hands-on implementation. It involves owning technical design, prototyping, and operationalizing systems, including exploring AI-assisted workflows to enhance internal tools and development processes. The goal is to create high-leverage internal products that bring order to workflows and deliver demonstrable value.
—EngineeringDenver, CO5d ago5
Senior Backend Engineer - AI Platform (f/m/d)
Senior Backend Engineer focused on building and maintaining an internal AI platform to accelerate innovation. The role involves developing scalable AI integrations, APIs, and tools for feature teams, enabling them to test and deliver AI-driven products. Responsibilities include platform development, AI integration, and ensuring seamless interaction between AI models and product components.
AgentEngineeringIreland · Remote6w ago5
Senior Backend Engineer - AI Platform (f/m/d)
Senior Backend Engineer focused on building and maintaining an internal AI platform to accelerate innovation. The role involves developing scalable AI integrations, APIs, and tools for feature teams, enabling them to test and deliver AI-driven products. Responsibilities include platform development, AI integration, and ensuring seamless interaction between AI models and product components.
AgentEngineeringIreland · Remote6w ago5
Engineering Manager - Workflows (f/m/d)
Engineering Manager to lead the Workflows team, which owns Contentful's Orchestration Platform. This platform is the workflow and automation engine for approvals, tasks, triggers, and action execution. The role involves building and supporting high-performing teams, partnering with Product/Design, evolving the orchestration platform (APIs, execution, integrations, reliability), strengthening operational practices, and coaching engineers. A key aspect is collaborating with AI Enablement teams to integrate AI-powered capabilities into workflows.
AgentEngineeringBerlin, Germany8w ago5
Data Scientist
Data Scientist role focused on developing and deploying machine learning models to drive business outcomes. Responsibilities include data analysis, model development, deployment into production, and monitoring performance. The role emphasizes practical application of ML in production environments and collaboration with engineering teams.
ServeEngineeringDenver, COJan 215
Manager, Threat Detection and Incident Response
Manager for Threat Detection and Incident Response role at Contentful, focusing on operational and strategic direction, team development, and capability maturity. The role involves hands-on detection and response activities, designing and operating capabilities, leading incident response efforts, and driving continuous improvement. It also includes accelerating AI adoption within security operations.
—EngineeringNew York, NY2d ago1
Manager, Threat Detection and Incident Response
Manager for Threat Detection and Incident Response role at Contentful, focusing on operational and strategic direction, team development, and capability maturity. The role involves hands-on detection and response activities, designing and operating capabilities, leading incident response efforts, and driving continuous improvement. It also includes accelerating AI adoption within security operations.
—EngineeringNew York, NY2d ago1
Manager, Threat Detection and Incident Response
Manager for Threat Detection and Incident Response role at Contentful, focusing on operational and strategic direction, team development, and capability maturity. The role involves hands-on detection and response activities, designing and operating capabilities, leading incident response efforts, and driving continuous improvement. It also includes accelerating AI adoption within security operations.
—EngineeringNew York, NY2d ago1
Manager, Threat Detection and Incident Response
Manager for Threat Detection and Incident Response role at Contentful, focusing on operational and strategic direction, team development, and capability maturity. The role involves hands-on detection and response activities, designing and operating capabilities, leading incident response efforts, and driving continuous improvement. It also includes accelerating AI adoption within security operations.
—EngineeringNew York, NY2d ago1
Manager, Threat Detection and Incident Response
Manager for Threat Detection and Incident Response role at Contentful, focusing on operational and strategic direction, team development, and capability maturity. The role involves hands-on detection and response activities, designing and operating capabilities, leading incident response efforts, and driving continuous improvement. It also includes accelerating AI adoption within security operations.
—EngineeringNew York, NY2d ago1
Manager, Threat Detection and Incident Response
Manager, Threat Detection and Incident Response at Contentful, focusing on corporate systems security, IAM, data security, and SaaS platforms. This role involves people leadership, hands-on technical execution, and scaling security controls and tooling. While AI is mentioned as an area to accelerate adoption, it is not the core focus of the role.
—EngineeringNew York, NY2d ago0
Manager, Threat Detection and Incident Response
Manager, Threat Detection and Incident Response at Contentful. This role focuses on leading and maturing security incident response and detection programs, including team development, strategy, and operational execution. The position requires hands-on involvement in detection engineering, incident response, and leveraging security technologies in cloud-native and traditional environments. A key responsibility includes accelerating the adoption of AI within security practices.
—EngineeringNew York, NY2d ago0
Manager, Threat Detection and Incident Response
Manager for Threat Detection and Response at Contentful, focusing on operational and strategic direction of security incident response, team development, and capability maturity. The role involves hands-on detection engineering, incident response, and driving continuous improvement in cloud-native and corporate environments. A key responsibility is accelerating AI adoption within security practices.
—EngineeringNew York, NY6d ago0
Customer Support Engineer (f/m/d)
Contentful is seeking a Customer Support Engineer to assist customers building digital experiences using their platform. The role involves troubleshooting issues, working with APIs, and collaborating with the engineering team to resolve customer problems. This position requires strong problem-solving skills, experience with support tools, and familiarity with web/mobile application development.
—EngineeringLondon, United Kingdom6d ago0
Full Stack Software Engineer III
Full Stack Software Engineer III at Contentful, focusing on the Marketplace within the Ecosystem product line. The role involves building, maintaining, and growing systems, apps, and workflows that extend customer capabilities. It requires strong front-end skills (React) combined with backend (Node.js, APIs) and production operations experience. A key aspect is the use and experimentation with AI-assisted development workflows to enhance engineering productivity, with an expectation to contribute to the team's practices around AI in engineering.
—EngineeringDenver, CO1w ago0
Analytical Engineer f/m/d
Analytics Engineer to build and maintain Contentful's analytics foundation on Snowflake, focusing on data modeling, transformation, and pipeline ownership to enable data-driven decision-making.
—EngineeringLondon, United Kingdom1w ago0
Manager, Security Engineering (Enterprise Systems)
Manager of Security Engineering responsible for security engineering across Contentful’s corporate systems, including tooling and platforms for the internal security team. This role focuses on identity and access management, data security, and SaaS platforms, balancing people leadership with hands-on technical execution.
—EngineeringNew York, NY2w ago0
Manager, Security Engineering (Corporate Systems)
Manager, Security Engineering (Corporate Systems) at Contentful. This role focuses on owning security engineering for Contentful's corporate systems, including tooling and platforms for the internal security team. It involves people leadership, hands-on technical execution in areas like IAM and data security, and scaling security controls. The role requires expertise in cloud platforms (AWS, GCP, Azure), infrastructure-as-code (Terraform), and modern programming languages. While the role will accelerate the adoption of AI, it is not directly building AI models or systems.
—EngineeringNew York, NY2w ago0
Manager, Security Engineering (Corporate Systems)
Manager, Security Engineering (Corporate Systems) at Contentful. This role focuses on owning security engineering for Contentful's corporate systems, including tooling and platforms for the internal security team. It involves people leadership, hands-on technical execution in areas like IAM and data security, and scaling security controls. The role requires expertise in cloud platforms (AWS, GCP, Azure), infrastructure-as-code (Terraform), and modern programming languages. While the role will accelerate the adoption of AI, it is not directly building AI models or systems.
—EngineeringNew York, NY2w ago0
Manager, Security Engineering (Corporate Systems)
Manager, Security Engineering (Corporate Systems) at Contentful. This role focuses on owning security engineering for Contentful's corporate systems, including tooling and platforms for the internal security team. It involves people leadership, hands-on technical execution in areas like IAM and data security, and scaling security controls. The role requires expertise in cloud platforms (AWS, GCP, Azure), infrastructure-as-code (Terraform), and modern programming languages. While the role will accelerate the adoption of AI, it is not directly building AI models or systems.
—EngineeringNew York, NY2w ago0
Manager, Security Engineering (Corporate Systems)
Manager, Security Engineering (Corporate Systems) at Contentful. This role focuses on owning security engineering for Contentful's corporate systems, including tooling and platforms for the internal security team. It involves people leadership, hands-on technical execution in areas like IAM and data security, and scaling security controls. The role requires expertise in cloud platforms (AWS, GCP, Azure), infrastructure-as-code (Terraform), and modern programming languages. While the role will accelerate the adoption of AI, it is not directly building AI models or systems.
—EngineeringNew York, NY2w ago0
Manager, Security Engineering (Corporate Systems)
Manager, Security Engineering (Corporate Systems) at Contentful. This role focuses on owning security engineering for Contentful's corporate systems, including tooling and platforms for the internal security team. It involves people leadership, hands-on technical execution in areas like IAM and data security, and scaling security controls. The role requires expertise in cloud platforms (AWS, GCP, Azure), infrastructure-as-code (Terraform), and modern programming languages. While the role will accelerate the adoption of AI, it is not directly building AI models or systems.
—EngineeringNew York, NY2w ago0
Manager, Security Engineering
Manager of Security Engineering responsible for security across Contentful's corporate systems, including tooling and platforms for the internal security team. The role involves people leadership, hands-on technical execution in areas like IAM and data security, and scaling security controls. They will also partner with product security teams and accelerate the adoption of AI.
—EngineeringNew York, NY2w ago0
Security Engineer (Application Security)
Security Engineer role focused on application security, cloud-native infrastructure, and corporate environments. Responsibilities include managing alerts, leading initiatives like threat modeling and vulnerability identification, and embedding security practices. Requires experience with AWS, Kubernetes, Python, Terraform, and networking fundamentals.
—EngineeringNew York, NY5w ago0
Security Engineer (Application Security)
Security Engineer role focused on application security, cloud-native infrastructure, and corporate environments. Responsibilities include managing alerts, leading initiatives like threat modeling and vulnerability identification, and embedding security practices. Requires experience with AWS, Kubernetes, Python, Terraform, and networking fundamentals.
—EngineeringNew York, NY5w ago0
Security Engineer (Application Security)
Security Engineer role focused on application security, cloud-native infrastructure, and corporate environments. Responsibilities include managing alerts, leading initiatives like threat modeling and vulnerability identification, and embedding security practices. Requires experience with AWS, Kubernetes, Python, Terraform, and networking fundamentals.
—EngineeringNew York, NY5w ago0
Security Engineer (Application Security)
Security Engineer role focused on application security, cloud-native infrastructure, and corporate environments. Responsibilities include managing alerts, leading initiatives like threat modeling and vulnerability identification, and embedding security practices. Requires experience with AWS, Kubernetes, Python, Terraform, and networking fundamentals.
—EngineeringNew York, NY5w ago0
Security Engineer (Application Security)
Security Engineer role focused on application security, cloud-native infrastructure, and corporate environments. Responsibilities include managing alerts, leading initiatives like threat modeling and vulnerability identification, and embedding security practices. Requires experience with AWS, Kubernetes, Python, Terraform, and networking fundamentals.
—EngineeringNew York, NY5w ago0
Security Engineer (Application Security)
Security Engineer role focused on application security, cloud-native infrastructure, and corporate environments. Responsibilities include managing alerts, leading security assessments, vulnerability management, developing security solutions, and researching emerging threats. Requires experience with AWS, Python, Kubernetes, Terraform, and OWASP Top 10.
—EngineeringNew York, NY6w ago0
Senior Software Engineer - Backend & Infrastructure (f/m/d)
Senior Software Engineer focused on backend and infrastructure for content storage, working with AWS, Terraform, Typescript, Go, and observability stacks. The role involves designing and developing foundational storage infrastructure, ensuring scalability and reliability, and collaborating with other teams.
—EngineeringLondon, United Kingdom7w ago0
Senior Software Engineer - Backend & Infrastructure (f/m/d)
Senior Software Engineer focused on backend and infrastructure for content storage, working with AWS, Terraform, Typescript, and Go. The role involves designing and developing foundational storage infrastructure, ensuring scalability and reliability, and collaborating with other teams. Experience with databases (PostgreSQL), AWS services, Terraform, Kubernetes, Kafka, and observability stacks is required.
—EngineeringLondon, United Kingdom7w ago0
Senior Software Engineer - Backend & Infrastructure (f/m/d)
Senior Software Engineer focused on backend and infrastructure for content storage, working with AWS, Terraform, Typescript, and Go. The role involves designing and developing foundational storage infrastructure, ensuring scalability and reliability, and collaborating with other teams. Experience with databases (PostgreSQL), AWS services, Terraform, Kubernetes, Kafka, and observability stacks is required.
—EngineeringLondon, United Kingdom7w ago0
Engineering Manager - Workflows (f/m/d)
Engineering Manager to lead the Workflows team, which owns Contentful's Orchestration Platform. This role involves building and supporting high-performing teams, partnering with Product and Design, evolving the orchestration platform, strengthening operational practices, and coaching engineers. The manager will also collaborate with AI Enablement teams to integrate AI-powered capabilities into workflows.
—EngineeringBerlin, Germany8w ago0
Engineering Manager - Workflows (f/m/d)
Engineering Manager to lead the Workflows team, which owns Contentful's Orchestration Platform. This role involves building and supporting high-performing teams, partnering with Product and Design, evolving the orchestration platform, strengthening operational practices, and coaching engineers. The manager will also collaborate with AI Enablement teams to integrate AI-powered capabilities into workflows.
—EngineeringBerlin, Germany8w ago0
Senior Platform Engineer (f/m/d)
Senior Platform Engineer to join the Core Data Team, focusing on data operations, creating tools for data customers, and maintaining an adaptable data platform. Requires 5+ years of engineering experience, proficiency in cloud technologies (AWS), Python, Infrastructure as Code (Terraform), CI/CD, Kubernetes, Docker, Git, and streaming services. Familiarity with Apache Airflow and AWS Redshift is desirable.
—EngineeringLondon, United KingdomMar 120
Senior Solution Architect - Personalization Strategist
Senior Solution Architect specializing in personalization and experimentation strategy and implementation using Contentful Personalization. Focuses on designing and delivering scalable personalization programs, integrating with enterprise systems, and collaborating with customer and internal teams.
—EngineeringSan Francisco, CAFeb 180
Senior Solution Architect - Personalization Strategist
Senior Solution Architect specializing in personalization and experimentation strategy and implementation using Contentful Personalization. Focuses on designing and delivering scalable personalization programs, integrating with enterprise systems, and collaborating with customer and internal teams.
—EngineeringSan Francisco, CAFeb 180
Senior Solution Architect - Personalization Strategist
Senior Solution Architect specializing in personalization and experimentation strategy and implementation using Contentful Personalization. Focuses on designing and delivering scalable personalization programs, integrating with enterprise systems, and collaborating with customer and internal teams.
—EngineeringSan Francisco, CAFeb 180
Senior Solution Architect - Personalization Strategist
Senior Solution Architect specializing in personalization and experimentation strategy and implementation using Contentful Personalization. Focuses on designing and delivering scalable personalization programs, integrating with enterprise systems, and collaborating with customer and internal teams.
—EngineeringSan Francisco, CAFeb 180
Senior Solution Architect - Personalization Strategist
Senior Solution Architect specializing in personalization and experimentation strategy and implementation using Contentful Personalization. Focuses on designing and delivering scalable personalization programs, integrating with enterprise systems, and collaborating with customer and internal teams.
—EngineeringSan Francisco, CAFeb 180
Senior Solution Architect - Personalization Strategist
Senior Solution Architect specializing in personalization and experimentation strategy and implementation using Contentful Personalization. Focuses on designing and delivering scalable personalization programs, integrating with enterprise systems, and collaborating with customer and internal teams.
—EngineeringSan Francisco, CAFeb 180
Senior Solution Architect - Personalization Strategist
Senior Solution Architect specializing in personalization and experimentation strategy and implementation using Contentful Personalization. Focuses on designing and delivering scalable personalization programs, integrating with enterprise systems, and collaborating with customer and internal teams.
—EngineeringSan Francisco, CAFeb 180
Senior Solution Architect - Personalization Strategist
Senior Solution Architect specializing in personalization and experimentation strategy and implementation using Contentful Personalization. Focuses on designing and delivering scalable personalization programs, integrating with enterprise systems, and collaborating with customer and internal teams.
—EngineeringSan Francisco, CAFeb 180
Senior Solution Architect - Personalization Strategist
This role is for a Senior Solution Architect focused on personalization and experimentation strategies. The individual will design and implement personalization solutions using Contentful Personalization, integrate with enterprise platforms, and collaborate with customer and internal teams. While it involves personalization, it does not require building AI/ML models directly, but rather implementing solutions that may leverage them externally.
—EngineeringSan Francisco, CAFeb 180
Senior Solution Architect - Personalization Strategist
Senior Solution Architect specializing in personalization and experimentation strategy and implementation using Contentful Personalization. Focuses on designing and delivering scalable personalization programs, integrating with enterprise systems, and collaborating with customer and internal teams.
—EngineeringSan Francisco, CAFeb 180
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