AI/ML Engineering Manager

Join Articul8 AI, where we develop cutting-edge Generative AI solutions designed for enterprises, empowering global organizations to extract unprecedented value from their data. Our innovative platform is trusted by leading companies worldwide, and we closely collaborate with clients to design, deploy, and scale AI solutions that create significant impact.Em…

About Intercom Intercom builds AI-driven tools that help businesses deliver strong customer service. Nearly 30,000 companies worldwide use Intercom’s platform, which combines automation with human support for more complex questions. Our main AI agent, Fin, works alongside the Intercom Helpdesk as part of the Intercom Customer Service Suite. Fin handles customer support around the clock, and can escalate more involved issues to people when needed. This approach helps businesses offer consistent, high-quality customer experiences. Founded in 2011, Intercom continues to set new standards for customer service. We value challenging assumptions, moving quickly, and delivering meaningful results for our clients.

Intercom builds tools that help businesses deliver better customer service, powered by artificial intelligence. Nearly 30,000 companies worldwide use Intercom’s products, including Fin, an AI customer service agent that works seamlessly with the Intercom Helpdesk as part of the Customer Service Suite. Since 2011, Intercom has focused on innovation and delivering value for clients. Role overview The AI Models Infrastructure Team within Intercom’s AI Group develops and maintains the core infrastructure that supports the company’s proprietary AI models. Intercom is hiring an Engineering Manager to lead this team. This is a technical leadership position working at the intersection of infrastructure and artificial intelligence. What you will do Guide a team of engineers building and operating the infrastructure for Intercom’s AI models Work closely with other teams to ensure the reliability and scalability of AI systems Support ongoing technical growth within the team and stay current with advances in AI Who we’re looking for Experience managing technical teams, ideally in AI or related fields Strong background in infrastructure or platform engineering Commitment to continuous technical development Locations Berlin, Germany Dublin, Ireland London, England Learn more About engineering at Intercom: https://intercom.engineering About Fin: http://fin.ai

Role Overview Version1 is hiring an AI Engineer in Dublin to support projects across the public sector and utilities. This position suits mid-senior professionals with a strong interest in artificial intelligence and its use to improve public services.

At Intercom, we are revolutionizing AI-driven customer service with a commitment to delivering exceptional customer experiences. Our flagship AI agent, Fin, is the leading customer service AI solution available, enabling businesses to offer seamless, always-on support that enhances customer satisfaction. When paired with our Helpdesk, Fin evolves into the comprehensive Intercom Customer Service Suite, designed to tackle complex inquiries that necessitate human intervention.Founded in 2011, Intercom has earned the trust of nearly 30,000 businesses worldwide, setting the benchmark for excellence in customer service. Our core values drive us to innovate relentlessly, act swiftly, and consistently provide remarkable value to our customers.What’s the Opportunity?The AI Group at Intercom is at the forefront of creating new machine learning products, exploring innovative algorithms and technologies, and swiftly transitioning prototypes into the hands of our customers. With a strong focus on product development, our talented team of over 50 ML scientists, engineers, designers, and researchers collaborates across departments to deliver impactful solutions. We pride ourselves on rapid deployment, often moving to beta within weeks of successful offline tests.We are passionate about harnessing machine learning technologies, having successfully implemented a range of solutions from traditional supervised models to cutting-edge unsupervised clustering algorithms, novel transformer neural network applications, and finely-tuned LLMs. We diligently measure the real-world customer impact of our deployments.As we plan to double our team size, we are seeking an experienced manager to lead a high-performing group of ML scientists. Unlike conventional people managers, our engineering managers possess a solid track record of individual contributions, allowing them to remain engaged with their team’s work. While coding daily isn't a requirement, you should feel adept at offering technical guidance and possess a comprehensive understanding of your team's projects, including the potential for occasional code reviews or pull requests.What Will You Be Doing?Leading, mentoring, and coaching a team of 10+ ML scientists located in our offices in Dublin, London, and Berlin.Collaborating with leaders in ML, engineering, product, and design to influence the direction and impact of the team's work.Facilitating high levels of productivity, performance, and reliability within your team.Expanding the team's capabilities and enhancing its reputation internally and externally.

POS-22139This role can be Office/Hybrid/Remote based within IrelandHubSpot is leading the charge in empowering businesses through innovative AI technology, and our AI Infrastructure group is pivotal to this mission. We are on the lookout for a Staff Software Engineer who possesses a strong passion for infrastructure and enhancing developer experiences to become a vital member of our AI Serving team. This team is responsible for the end-to-end management of HubSpot’s model inference and serving infrastructure, ensuring that our AI models are deployed reliably, scaled efficiently, observed meticulously, and operated in a cost-effective manner across all hublets and environments. Moreover, this team is the home for modern Python practices at HubSpot.Our team oversees the serving frameworks and libraries that facilitate synchronous, asynchronous, and offline inference, as well as model deployment pipelines, autoscaling, and resource management for both GPU and CPU. Our roadmap is focused on enhancing the reliability and efficiency of batch inference, improving model observability, and scaling our AI infrastructure in a cost-effective manner. Additionally, we are the custodians of core Python libraries and tools across HubSpot.As a Staff Software Engineer on the AI Serving team, you will:Develop and deploy production code that directly powers AI functionalities across HubSpot, serving as a critical component for impactful user and business outcomes at scale.Lead the advancement of our model serving and inference infrastructure, enhancing reliability, scalability, and cost-efficiency.Establish the technical direction for deploying and operating ML models at scale, guiding architectural decisions, cost optimizations, and developer experience enhancements.Collaborate closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving processes.Gain extensive insight into various HubSpot infrastructure systems by building and maintaining core Python libraries, offering an exceptional opportunity to understand HubSpot's inner workings.Work alongside HubSpotters across different functions including engineering, product, design, research, marketing, and sales, while gaining a broader understanding of how HubSpot operates as a business.Be empowered to express your authentic self and choose a work style and location that allows you to perform at your best, whether from home, in an office, or a combination of both.We are not solely seeking engineers with extensive experience; we value engineers who have demonstrated unique excellence, leadership, and the ability to elevate those around them.Our primary programming languages include Python and Java, but a variety of experiences are welcomed.

The OpportunityWe are seeking a pioneering Founding AI Engineer to develop systems that ensure AI operates in a safe, reliable, and repeatable manner at Grand. This pivotal role focuses on transforming intelligence into production-ready capabilities, combining an AI-first approach with engineering instincts for control, failure handling, and system integrity.This role is distinct from product feature development or research; you will not be responsible for user experience or model theory. Instead, your ownership will encompass AI operations within the system, including orchestration, guardrails, observability, auditability, and lifecycle management.As a close collaborator with the founders, product, data science, and regulatory teams, you will influence how AI decisions are triggered, constrained, inspected, and executed in a regulated environment. This position offers a chance to contribute significantly to the company's foundational structure.Your ResponsibilitiesDesign and implement the runtime and orchestration layer for AI systems across our platform.Transform probabilistic AI outputs into controlled, repeatable behaviors within the system.Define the processes for triggering, gating, validating, and executing AI decisions.Integrate guardrails, fallbacks, and confidence thresholds into AI workflows.Design human-in-the-loop and escalation pathways as necessary.Manage prompt lifecycle, including evaluation and versioning.Oversee context assembly, scoping, and data boundaries for AI tasks.Establish systems for logging, tracing, replaying, and auditing AI processes.Control latency, cost, reliability, and performance in production environments.Collaborate closely with AI data scientists to transition models and signals into production.Work together with product engineers to ensure safe AI integration within workflows.Ensure that AI systems are defensible, inspectable, and ready for regulatory scrutiny.

Intercom builds AI-powered customer service tools that help businesses deliver reliable, round-the-clock support. Our AI agent, Fin, and the Intercom Customer Service Suite combine automation with human expertise to handle millions of customer inquiries every month. Since 2011, nearly 30,000 businesses worldwide have chosen Intercom to raise their customer service standards. Role overview The Senior AI Infrastructure Engineer role focuses on developing and scaling the systems that train and deploy Intercom’s next generation of AI products. The AI Infrastructure team works across the stack, from GPU-level engineering up to the user-facing agents that power customer support. This team has built training pipelines and inference systems for models like Fin Apex, which are tailored for customer service and serve as the foundation for Intercom’s AI capabilities. What you will do Design and scale training pipelines for large transformer and LLM models, including data ingestion, preprocessing, distributed training, and evaluation. Build and improve inference services to ensure fast, reliable experiences for clients, covering auto-scaling, routing, and failover. Optimize GPU-level performance by tuning kernels, improving resource utilization, and identifying bottlenecks in training and inference workflows. Work closely with ML scientists to implement new training and inference techniques. What we’re looking for Strong experience with model training or large-scale model inference, and hands-on knowledge of low-level GPU programming (such as CUDA or Triton). Experience in more than one of these areas is especially valuable. Location This position is based in Dublin, Ireland.

About Us: At Articul8 AI, we are on a mission to redefine the standards of excellence in AI product development. Our dedicated team is committed to crafting outstanding solutions that not only meet but exceed the expectations of our clients. We leverage our unique capabilities to create a positive impact in the world, inspiring others to join us in this journey.Job Description: We are excited to welcome a talented Infrastructure Engineer to our innovative Product Technology team. This individual will play a vital role in shaping the infrastructure for our Generative Artificial Intelligence (GenAI) products. You will be responsible for designing and building scalable, robust, and cost-effective cloud-based solutions. Collaborating with cross-functional teams, you will drive innovation, optimize performance, and ensure seamless integration across our GenAI-driven offerings.

At Intercom, we are revolutionizing customer service through our AI-driven solutions. Our mission is to empower businesses to deliver exceptional customer experiences.Our flagship AI agent, Fin, stands as the most advanced customer service AI in the industry, enabling businesses to provide round-the-clock, flawless service that enhances customer interactions. When paired with our Helpdesk, it forms the Intercom Customer Service Suite, a comprehensive solution designed for complex queries that may require human intervention.Founded in 2011 and serving nearly 30,000 businesses worldwide, Intercom is setting new industry benchmarks. Our commitment to pushing boundaries, rapid development, and delivering unparalleled value drives our success.What’s the opportunity?We are seeking experienced Senior Product Engineers to join our AI Group, focused on developing innovative AI-powered products. As a Product Engineer in Machine Learning, you will collaborate closely with ML Scientists and product teams to understand our offerings, customer needs, and the technical landscape.Your responsibilities will include defining new ML features, exploring suitable algorithms and technologies, and swiftly prototyping solutions for customer feedback.Our team operates with a strong product focus, working collaboratively with Product and Design teams. With dedicated engineers, we achieve fast production cycles, often launching beta versions within weeks of successful offline testing.We are passionate about machine learning and have implemented a range of technologies—from traditional supervised models to advanced unsupervised clustering algorithms and innovative transformer neural networks. We rigorously assess the customer impact of our deployed models.If you possess a strong analytical mindset and hands-on experience with ML systems, we are eager to connect with you!

Are you ready to shape the future of data management and AI/ML security? At MongoDB, we are pioneering remarkable transformations across industries, empowering developers to create innovative AI/ML-driven applications that enhance everyday life for individuals and enterprises alike. As the foremost modern data platform and the first database provider to go public in over two decades, we are at the forefront of a booming global data management software market projected to reach $138 billion by 2026. Join our dynamic team and lead the charge in innovation and creativity.Who You AreYou are an experienced security engineering professional eager to enhance MongoDB's customer engagement by bolstering our core database products. You are passionate about tackling complex security challenges while prioritizing exceptional customer experiences, drawing on your extensive expertise. You thrive in collaborative environments, working across various teams to devise and implement practical security solutions.Who We AreThe MongoDB Product Security team comprises a diverse group of experts committed to enhancing MongoDB’s security infrastructure, including both product security and the security capabilities we extend to our customers. We manage the MongoDB Database Server, encompassing both the Community and Enterprise editions.Our organization collaborates with software engineers to architect, implement, and maintain systems that safeguard customer data. Comprising a multidisciplinary team, we address product, software, cloud, infrastructure, and operational security concerns. Our key initiatives include:Establishing a developer-driven security program that integrates seamlessly with engineering artifacts, processes, and tools.Utilizing software architecture and coding standards to mitigate security vulnerabilities.Serving as subject matter experts on security for our technology stack and product offerings.

ServiceNow is seeking a Senior Delivery Acceleration AI Engineer based in Dublin. This role centers on enhancing delivery processes through advanced AI technologies. The main focus is to develop and improve solutions that allow customers to maximize the value they get from the ServiceNow platform. Role overview This position involves applying AI methods to streamline and optimize how services are delivered. The work supports customers in making better use of the ServiceNow platform’s capabilities. What you will do Build and refine AI-driven solutions for delivery acceleration Work on initiatives that improve customer outcomes with the ServiceNow platform Focus on continuous improvement of delivery processes using AI Location This role is based in Dublin.

About AnthropicAt Anthropic, we are on a mission to develop AI systems that are not only reliable and interpretable but also steerable. Our primary goal is to ensure that AI technology is safe and advantageous for all users and society at large. Our rapidly expanding team consists of dedicated researchers, engineers, policy experts, and business leaders, all working collaboratively to create beneficial AI solutions.Role OverviewAt Anthropic, we believe in the strength of collaboration. Our AI Reliability Engineering (AIRE) team plays a crucial role in maintaining the robustness of Claude, our flagship AI, ensuring it remains reliable for everyone who relies on it. We work closely with various teams within Anthropic to enhance reliability across our essential service paths—from the SDK, through our network, API layers, serving infrastructure, and accelerators, and back again. Our hands-on approach allows us to make impactful improvements during incidents and in collaborative projects.Reliability is an emergent quality that extends beyond individual teams. Our role involves taking a comprehensive view of the systems, offering a unique opportunity for dynamic, cross-functional engagement with the most critical aspects of our operations.

At Intercom, we are pioneering the future of customer service through artificial intelligence. Our mission is to empower businesses to create exceptional customer experiences.Our flagship AI agent, Fin, represents the forefront of customer service technology. By offering seamless, 24/7 support, Fin enhances customer interactions and redefines service excellence. When paired with our Helpdesk, it evolves into the Intercom Customer Service Suite, which provides AI-enhanced solutions for intricate queries that necessitate human intervention.Founded in 2011 and trusted by nearly 30,000 businesses globally, Intercom is establishing a new benchmark in customer service. Our commitment to innovation drives us to push boundaries, work with urgency, and consistently deliver outstanding value to our clients.What is the opportunity?We are on the lookout for Staff Product Engineers to join our AI Group, focusing on the development of AI-driven products. As a Product Engineer specializing in machine learning (ML), you will collaborate closely with both our ML Scientists and product teams. A deep understanding of our products, customers, and technological framework is essential.Your role will involve defining new ML features, exploring suitable algorithms and technologies, and rapidly delivering prototypes to our customers.We are a highly product-focused team that collaborates with Product and Design teams across the organization. Our dedicated engineers enable quick transitions to production, often releasing beta versions within weeks following successful offline testing.We are passionate about leveraging machine learning technology, having successfully productized a range of solutions from traditional supervised models to innovative applications of transformer neural networks. Our commitment to testing and measuring the real-world impact of each model we deploy is unwavering.If you are an experienced product engineer with a strong analytical mindset and hands-on experience with ML systems, we invite you to connect with us!

At Intercom, we are at the forefront of AI-driven customer service, dedicated to empowering businesses to deliver exceptional customer experiences.Our flagship AI agent, Fin, represents the pinnacle of customer service AI technology, enabling businesses to provide continuous, flawless service that enhances customer interactions. By integrating Fin with our Helpdesk, we offer a comprehensive solution known as the Intercom Customer Service Suite, designed to tackle complex, high-touch inquiries that necessitate human intervention.Founded in 2011, Intercom has gained the trust of nearly 30,000 businesses globally, continuously setting the benchmark for outstanding customer service. Our core values drive us to push boundaries, innovate rapidly, and consistently deliver remarkable value to our customers.What is the opportunity?We are seeking experienced Senior Product Engineers to join our AI Infrastructure team at Intercom, focused on the development of AI-powered products. As a Product Engineer within AI infrastructure, you will collaborate closely with our Machine Learning (ML) engineers and scientists. You will gain a profound understanding of our product offerings, ML technology stack, and our development processes, with the aim to enhance and expedite these processes further.The broader AI group is tasked with defining new ML features, investigating suitable algorithms and technologies, and quickly deploying initial prototypes to our customers.Our AI infrastructure team is building a platform that enables rapid adaptation to new AI advancements within days, while ensuring a reliable service for our customers. We provide foundational services for AI systems and develop framework-level code utilized daily by other engineers and scientists in the AI division.Our passion lies in leveraging machine learning technology, having successfully productized a spectrum of solutions ranging from traditional supervised models to innovative unsupervised clustering algorithms and advanced transformer neural networks. We rigorously test and measure the tangible customer impact of every model and adjustment we implement.If you are a seasoned backend engineer with an analytical mindset and practical experience in ML systems and platforms, we invite you to connect with us!

About Our TeamAt OpenAI, our AI Success Engineer team collaborates with some of the most ambitious organizations globally to convert state-of-the-art AI technologies into tangible business benefits. We accompany our customers from their initial deployment to large-scale enterprise integration, focusing on technical integration, workflow transformation, and ongoing program and product delivery.Our clientele includes rapidly growing digital natives, large global enterprises, government institutions, and educational organizations. Each engagement presents a unique opportunity to influence the future of work, productivity, and innovation. This position plays a vital role in fulfilling that vision.About the RoleThe AI Success Engineer will ensure the post-sales success of a diverse portfolio of customers through vigilant monitoring, proactive engagement, and strategic technical interventions. This role is essential for identifying risks related to adoption and expansion, coordinating shared resources, and providing hands-on support when needed.This position requires a blend of operational execution, customer advisory services, technical support, and cross-functional collaboration. You will closely partner with Customer Education, Solutions Architects, User Operations, Sales, and Solutions Engineering teams to ensure our customers remain healthy, unblocked, and achieve their key adoption milestones.Success in this role translates to maintaining robust account health at scale, enhancing customer adoption outcomes, and providing consistently high-quality technical experiences.Your ResponsibilitiesAnalyze account health indicators and adoption metrics to identify at-risk or expansion-ready customers without dedicated success coverage.Engage proactively with customers through outreach to seize expansion opportunities or address adoption and technical challenges.Coordinate resources across AI Deployment Managers, Solutions Architects, and User Operations to deliver prompt support and interventions.Manage instance administration and initial technical triage, including MCP refreshes, configuration updates, and error resolution.Communicate adoption trends, risks, and necessary interventions across the customer base to Customer Education and cross-functional partners, while also identifying patterns in customer feedback to provide insights to Product and Engineering teams.

airapps is looking for an AI Product Manager based in Dublin. This role centers on leading the development and execution of AI-driven products from concept through launch. Role overview The AI Product Manager works closely with teams across engineering, design, and business functions. Collaboration is key as you help shape the product vision and define a clear roadmap. The position requires balancing customer needs with market trends to guide product direction. What you will do Lead the planning and rollout of AI products Work with cross-functional teams to set goals and priorities Define product vision and ensure it matches user needs Prioritize features and enhancements based on strategy Focus on delivering strong user experiences Requirements Experience managing AI or technology products Ability to collaborate across multiple teams Strong understanding of customer needs and market trends Skilled at setting product strategy and priorities

At Intercom, we pride ourselves on revolutionizing customer service through advanced AI technology. Our mission is to empower businesses to deliver exceptional customer experiences.Our leading AI agent, Fin, is recognized as the most sophisticated customer service solution available, enabling businesses to provide consistent, high-quality support. By integrating Fin with our Helpdesk, we offer a comprehensive solution—the Intercom Customer Service Suite—designed to tackle complex inquiries that necessitate human intervention.Founded in 2011 and trusted by nearly 30,000 companies worldwide, Intercom is redefining customer service standards. Our core values drive us to push boundaries, innovate rapidly, and consistently deliver unparalleled value to our clients.What is the opportunity?We are actively seeking Staff Product Engineers to join our AI Group, focusing on the development of Intercom's AI-driven products. As a Product Engineer in machine learning (ML), you will collaborate closely with both our ML Scientists and product teams, ensuring a deep understanding of our products, customer needs, and the ML technology stack.This group is responsible for defining innovative ML features, researching suitable algorithms and technologies, and swiftly delivering prototypes to our customers.Our team prioritizes product excellence, working in partnership with Product and Design teams. Our dedicated engineers enable us to deploy quickly, often reaching beta stages within weeks after successful offline testing.We are passionate about leveraging machine learning technology, having productized everything from traditional supervised models to groundbreaking unsupervised clustering algorithms and advanced transformer neural networks. We rigorously test and measure the real-world impact of each model we implement.If you are a seasoned product engineer with an analytical mindset and hands-on experience with ML systems, we want to hear from you!

About SeapointSeapoint is revolutionizing financial management for European startups and scale-ups. We offer an AI-driven business account that consolidates payroll, expenses, invoice payments, and reporting into a single platform, simplifying financial operations.Founded by Sean Mullaney, former European CIO at Stripe, alongside a talented team of alumni from Stripe, Wise, Wayflyer, Nubank, and Tide, we recently secured $3M in pre-seed funding from Frontline Ventures. After nine months of dedicated development, we are now in private beta, collaborating with numerous VC-backed startups who are gaining unprecedented visibility into their financial landscapes.Our mission is clear: to bridge the gap for European startups caught between the limitations of neobanks and the complexities of traditional banking. By automating the tedious aspects of finance through AI, we empower founders to focus on what truly matters—the growth of their businesses.Discover more about our innovative solutions here.About the RoleWe are seeking an experienced AI Software Engineer to take ownership of and enhance the intelligent systems that fuel our financial platform. You will directly influence how founders manage their finances by developing AI features that enrich transaction data, automate invoice matching, and provide insightful reporting and forecasting.Key ResponsibilitiesVendor Enrichment Pipeline: Enhance our existing system that aggregates bank transactions from various sources (open banking, accounting software, email invoices) and enriches them with vendor details. This role includes improving search accuracy, normalization logic, and data integration.Invoice Management Automation: Expand the AI capabilities behind our bill payment product, which scans invoices and matches them to transactions. There is significant potential for enhancements in risk assessment, beneficiary creation, and payment automation.AI Evaluation Infrastructure: Advance our evaluation framework by utilizing a dedicated environment to test AI prompts and agents. Implement industry best practices for accurately measuring AI system performance.Feature Development: Spearhead technical discovery for AI-driven functionalities across reporting, forecasting, and other essential areas. Propose and scope innovative capabilities that enrich the financial experience for business owners, steering us towards agent-based systems.

About the TeamAt OpenAI, our User Operations team is dedicated to guiding customers through their journey of adopting AI technologies, ensuring their experience with our products is nothing short of outstanding. We are pioneering the first post-AGI support team, tackling intricate challenges, offering technical expertise, and helping customers unlock the full potential of our offerings. Collaborating closely with Sales, Technical Success, Product, and Engineering teams, we strive to provide an unparalleled customer experience at scale. Our clientele ranges from emerging startups to established global corporations, representing a rich diversity of backgrounds and needs.About the RoleWe are seeking passionate and experienced individuals to join us in addressing the most challenging issues our customers face while helping to shape our post-AGI support team. In this role, you'll engage directly with customers via support tickets and Slack, troubleshooting complex and often undefined technical challenges while setting a positive example for your peers. You will collaborate with cross-functional teams to drive initiatives that minimize bugs, enhance features, and develop systems that elevate our customer experience. Your contributions will help us achieve industry-leading response times and service levels while fortifying our internal customer feedback processes in an ever-evolving landscape. You will play a crucial role in scaling our support organization by refining operational processes and leveraging our technology to develop the next evolution of support in the AI realm. If you thrive in a dynamic environment that values impact, teamwork, and rapid problem-solving, you may be the ideal candidate for our team.We embrace a hybrid work model, requiring three days in the office each week, and provide relocation assistance for new hires.Your Responsibilities Include:Directly engage with customers to solve their most complex issues and provide guidance and education on our platforms.Become a leading expert on all things related to OpenAI products, even in areas where our AI may not have definitive answers.Serve as a critical support layer before escalating issues to our core Product and Engineering teams, collaborating with them to resolve challenges effectively.Utilize scripting and emerging AI capabilities to streamline processes and enhance outcomes.