Moody's Corporation
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem-solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM-powered applications using techniques such as retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real-world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large-scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem-solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM-powered applications using techniques such as retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real-world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large-scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Moody's Corporation
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Experience in sales enablement, sales operations, go-to-market, or commercial support roles Strong organizational, project management, and stakeholder engagement skills Ability to manage multiple priorities and deliver high-quality outcomes in a fast-paced environment Proficiency with Highspot, Salesforce (SFDC), and related sales enablement platforms Ability to develop compelling sales content, training materials, and enablement resources Strong analytical skills with the ability to interpret data and translate insights into actionable recommendations Excellent communication and presentation skills with confidence engaging sales teams and business leaders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency Education Bachelor's degree in Business, Marketing, Communications, Sales, or a related discipline Relevant professional certifications in sales enablement, sales operations, learning and development, or CRM platforms are preferred Equivalent combinations of education and relevant commercial experience will also be considered Responsibilities Plan, coordinate, and deliver sales enablement programs across EA, ensuring consistent, high-quality learning experiences for sales teams Support key enablement initiatives including sales process, segment-specific training programs, partner roadshows, and spotlight sessions Enable sellers to confidently position partner solutions by building understanding of value propositions, use cases, and customer outcomes Manage and maintain Highspot content, including sales plays, partner resources, and enablement assets, ensuring accuracy, relevance, and usability Collaborate with stakeholders to identify content gaps and develop targeted materials that support sales effectiveness and business priorities Monitor enablement activity, attendance, engagement, and content usage, delivering data-driven insights to sales leadership and segment stakeholders Continuously assess knowledge gaps and improve enablement strategies, communications, and delivery methods to drive seller readiness and adoption About the Team Be part of a high-impact, collaborative team that empowers sales professionals to succeed across the EA region. Our team bridges global strategy and regional execution, ensuring sales teams have the tools, training, and insights to excel. We value innovation, collaboration, and a culture of continuous learning, giving you the opportunity to make a meaningful impact while growing your expertise. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Experience in sales enablement, sales operations, go-to-market, or commercial support roles Strong organizational, project management, and stakeholder engagement skills Ability to manage multiple priorities and deliver high-quality outcomes in a fast-paced environment Proficiency with Highspot, Salesforce (SFDC), and related sales enablement platforms Ability to develop compelling sales content, training materials, and enablement resources Strong analytical skills with the ability to interpret data and translate insights into actionable recommendations Excellent communication and presentation skills with confidence engaging sales teams and business leaders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency Education Bachelor's degree in Business, Marketing, Communications, Sales, or a related discipline Relevant professional certifications in sales enablement, sales operations, learning and development, or CRM platforms are preferred Equivalent combinations of education and relevant commercial experience will also be considered Responsibilities Plan, coordinate, and deliver sales enablement programs across EA, ensuring consistent, high-quality learning experiences for sales teams Support key enablement initiatives including sales process, segment-specific training programs, partner roadshows, and spotlight sessions Enable sellers to confidently position partner solutions by building understanding of value propositions, use cases, and customer outcomes Manage and maintain Highspot content, including sales plays, partner resources, and enablement assets, ensuring accuracy, relevance, and usability Collaborate with stakeholders to identify content gaps and develop targeted materials that support sales effectiveness and business priorities Monitor enablement activity, attendance, engagement, and content usage, delivering data-driven insights to sales leadership and segment stakeholders Continuously assess knowledge gaps and improve enablement strategies, communications, and delivery methods to drive seller readiness and adoption About the Team Be part of a high-impact, collaborative team that empowers sales professionals to succeed across the EA region. Our team bridges global strategy and regional execution, ensuring sales teams have the tools, training, and insights to excel. We value innovation, collaboration, and a culture of continuous learning, giving you the opportunity to make a meaningful impact while growing your expertise. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Moody's Corporation
Manchester, Lancashire
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills & Competencies 2 - 6 years of experience in talent sourcing, preferably in an agency or Fortune 500 company Proven ability to source for both technical (engineering, IT, data science) and non-technical (finance, operations, HR) roles Strong proficiency in LinkedIn Recruiter, Boolean search, and other sourcing tools and databases Experience sourcing talent in the UK and Lithuanian market is highly preferred Excellent organizational skills, attention to detail, and ability to manage multiple sourcing projects simultaneously Strong communication and interpersonal skills with the ability to engage and nurture relationships with passive candidates Results-oriented mindset with a track record of meeting or exceeding sourcing KPIs and SLAs Ability to work independently while collaborating effectively with recruiters and hiring managers Preferred Skills Experience with AI-powered sourcing tools and applicant tracking systems (ATS) Knowledge of diversity sourcing strategies and inclusive hiring practices Familiarity with market mapping and competitive intelligence techniques Key Responsibilities Proactively identify, engage, and build pipelines of passive candidates for various roles, including technical and non-technical positions Utilize LinkedIn Recruiter, Boolean searches, job boards, AI-powered sourcing tools, and other platforms to source top talent Partner closely with recruiters and hiring managers to understand job requirements, market trends, and sourcing strategies Develop and execute creative sourcing strategies Maintain and update candidate pipelines in the Applicant Tracking System (ATS) to ensure accurate and timely tracking of sourcing activities Conduct initial outreach and screening of candidates, assessing qualifications, interest, and availability Meet and exceed key performance indicators (KPIs) and service level agreements (SLAs), such as response rates, candidate engagement metrics, and pipeline conversion Stay up to date with industry best practices, sourcing technologies, and market trends to continuously refine sourcing techniques About the Team Our Talent Attraction team is responsible for identifying, engaging, and hiring top talent to support Moody's growth across the globe. We contribute to Moody's by building strong and diverse talent pipelines across key business areas and enhancing our employer brand to attract high-quality candidates. By joining our team, you will be part of exciting work in talent sourcing and recruitment across the EMEA region, supporting multiple business units and helping shape the future of Moody's workforce. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody's Compliance Expo page Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's.
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills & Competencies 2 - 6 years of experience in talent sourcing, preferably in an agency or Fortune 500 company Proven ability to source for both technical (engineering, IT, data science) and non-technical (finance, operations, HR) roles Strong proficiency in LinkedIn Recruiter, Boolean search, and other sourcing tools and databases Experience sourcing talent in the UK and Lithuanian market is highly preferred Excellent organizational skills, attention to detail, and ability to manage multiple sourcing projects simultaneously Strong communication and interpersonal skills with the ability to engage and nurture relationships with passive candidates Results-oriented mindset with a track record of meeting or exceeding sourcing KPIs and SLAs Ability to work independently while collaborating effectively with recruiters and hiring managers Preferred Skills Experience with AI-powered sourcing tools and applicant tracking systems (ATS) Knowledge of diversity sourcing strategies and inclusive hiring practices Familiarity with market mapping and competitive intelligence techniques Key Responsibilities Proactively identify, engage, and build pipelines of passive candidates for various roles, including technical and non-technical positions Utilize LinkedIn Recruiter, Boolean searches, job boards, AI-powered sourcing tools, and other platforms to source top talent Partner closely with recruiters and hiring managers to understand job requirements, market trends, and sourcing strategies Develop and execute creative sourcing strategies Maintain and update candidate pipelines in the Applicant Tracking System (ATS) to ensure accurate and timely tracking of sourcing activities Conduct initial outreach and screening of candidates, assessing qualifications, interest, and availability Meet and exceed key performance indicators (KPIs) and service level agreements (SLAs), such as response rates, candidate engagement metrics, and pipeline conversion Stay up to date with industry best practices, sourcing technologies, and market trends to continuously refine sourcing techniques About the Team Our Talent Attraction team is responsible for identifying, engaging, and hiring top talent to support Moody's growth across the globe. We contribute to Moody's by building strong and diverse talent pipelines across key business areas and enhancing our employer brand to attract high-quality candidates. By joining our team, you will be part of exciting work in talent sourcing and recruitment across the EMEA region, supporting multiple business units and helping shape the future of Moody's workforce. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody's Compliance Expo page Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's.