StarCompliance, LLC
City, York
Role StarCompliance is seeking an experienced and highly motivated Technical/Application support manager (Associate Director) to lead our UK-based Client Support Services team. This is a key leadership role responsible for delivering exceptional support experiences to our global client base while driving operational excellence, technical leadership, and continuous improvement across our support function. Reporting directly to the Head of Client Support Services & Environments, you will lead a team of technical support professionals, champion a culture of accountability and development, and serve as a senior escalation point for complex client and platform issues. The successful candidate will bring a unique combination of strong people leadership, customer focus, and deep technical expertise within SaaS and cloud-based environments. You will be equally comfortable coaching team members, engaging with senior client stakeholders, and leading the investigation and resolution of complex technical challenges. This is an exciting opportunity to play a pivotal role within one of the fastest-growing SaaS companies in compliance technology, helping shape the future of support operations while ensuring our clients receive an exceptional service experience. Responsibilities Lead, mentor and develop a high-performing team of technical support professionals. Drive a culture of accountability, collaboration, continuous improvement and customer excellence. Act as the senior escalation point for critical client incidents and complex technical issues. Partner closely with Product, Professional Services, Relationship Management and Sales teams to ensure effective resolution of customer challenges. Oversee support operations, ensuring service levels, response times and customer satisfaction targets are consistently achieved. Identify opportunities to improve support processes, tooling, automation and operational efficiency. Provide leadership during major incidents, coordinating cross functional teams and stakeholder communications. Analyze support trends, root causes and service metrics to drive proactive improvements. Support strategic initiatives relating to platform reliability, scalability and client experience. Skills and Experience Proven experience leading and developing technical support, service delivery, operations or customer support teams within a SaaS environment. Extensive experience of managing teams in fast paced, high growth technology organizations. Strong technical background supporting enterprise web applications and cloud based platforms, including application hosting and operational support. Advanced knowledge of Microsoft SQL Server, SSMS and T SQL. Strong understanding of incident management, problem management, root cause analysis and service improvement methodologies. Demonstrated ability to lead complex technical investigations involving multiple stakeholders and systems. Exceptional communication and stakeholder management skills, with the ability to engage effectively at all levels, from technical specialists to senior client executives. Proven ability to coach, mentor and develop individuals while building highly engaged and high performing teams. Strong organizational and prioritization skills with the ability to manage multiple competing priorities in a dynamic environment. Minimum Qualifications Bachelor's degree or equivalent combination of education and relevant experience. About StarCompliance StarCompliance is one of the fastest growing SaaS technology companies in Compliance software. All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.
Role StarCompliance is seeking an experienced and highly motivated Technical/Application support manager (Associate Director) to lead our UK-based Client Support Services team. This is a key leadership role responsible for delivering exceptional support experiences to our global client base while driving operational excellence, technical leadership, and continuous improvement across our support function. Reporting directly to the Head of Client Support Services & Environments, you will lead a team of technical support professionals, champion a culture of accountability and development, and serve as a senior escalation point for complex client and platform issues. The successful candidate will bring a unique combination of strong people leadership, customer focus, and deep technical expertise within SaaS and cloud-based environments. You will be equally comfortable coaching team members, engaging with senior client stakeholders, and leading the investigation and resolution of complex technical challenges. This is an exciting opportunity to play a pivotal role within one of the fastest-growing SaaS companies in compliance technology, helping shape the future of support operations while ensuring our clients receive an exceptional service experience. Responsibilities Lead, mentor and develop a high-performing team of technical support professionals. Drive a culture of accountability, collaboration, continuous improvement and customer excellence. Act as the senior escalation point for critical client incidents and complex technical issues. Partner closely with Product, Professional Services, Relationship Management and Sales teams to ensure effective resolution of customer challenges. Oversee support operations, ensuring service levels, response times and customer satisfaction targets are consistently achieved. Identify opportunities to improve support processes, tooling, automation and operational efficiency. Provide leadership during major incidents, coordinating cross functional teams and stakeholder communications. Analyze support trends, root causes and service metrics to drive proactive improvements. Support strategic initiatives relating to platform reliability, scalability and client experience. Skills and Experience Proven experience leading and developing technical support, service delivery, operations or customer support teams within a SaaS environment. Extensive experience of managing teams in fast paced, high growth technology organizations. Strong technical background supporting enterprise web applications and cloud based platforms, including application hosting and operational support. Advanced knowledge of Microsoft SQL Server, SSMS and T SQL. Strong understanding of incident management, problem management, root cause analysis and service improvement methodologies. Demonstrated ability to lead complex technical investigations involving multiple stakeholders and systems. Exceptional communication and stakeholder management skills, with the ability to engage effectively at all levels, from technical specialists to senior client executives. Proven ability to coach, mentor and develop individuals while building highly engaged and high performing teams. Strong organizational and prioritization skills with the ability to manage multiple competing priorities in a dynamic environment. Minimum Qualifications Bachelor's degree or equivalent combination of education and relevant experience. About StarCompliance StarCompliance is one of the fastest growing SaaS technology companies in Compliance software. All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.
StarCompliance, LLC
Senior AI Engineer (Agentic Systems) UK Based Role At StarCompliance, we build software that supports critical compliance needs for global clients. We are now embedding AI as a core capability across the entire software development lifecycle. We are seeking a Senior AI Engineer to lead the practical adoption and scaling of AI-assisted and agentic engineering across our teams. This is not a research or experimentation role. You will work hands on within real codebases, using modern AI native development environments (Cursor preferred) to fundamentally change how software is built, tested, and delivered. Your focus is to turn AI from a tool into a system-repeatable, scalable, and embedded. You will define and implement playbooks, patterns, and workflows that enable teams to operate with parallel AI agents, autonomous code review, and AI driven delivery pipelines. You will also help bootstrap new initiatives, ensuring they start with the right architecture, tooling, and AI enabled engineering practices from day one. This role sits within R&D Engineering and partners closely with Platform, QA, and Product Engineering. Influence is earned through delivery, not hierarchy. How We Think About AI AI is not an assistant. It is part of the engineering system. We expect engineers in this role to: Embed AI directly into development workflows, not use it as a separate tool Design repeatable, production grade AI workflows, not one off prompts Leverage agentic patterns such as multi step execution, tool chaining, and parallelisation Apply AI across the lifecycle: coding, testing, review, and delivery Balance speed with control, operating safely within a regulated SaaS environment Deliver measurable improvements in throughput, quality, and developer experience Responsibilities Design and implement scalable AI assisted engineering workflows across teams Establish playbooks, standards, and best practices for agentic development Build and operationalize: Task specific agents (e.g. test generation, refactoring, code analysis) Reusable skills, templates, and workflows Multi agent and parallel execution patterns Integrate AI into CI/CD pipelines (Azure DevOps preferred), including: Autonomous or assisted code review AI driven test generation and maintenance Code quality and compliance checks Implement automation triggers and hooks to embed AI into the delivery lifecycle Work directly within codebases to accelerate delivery and improve quality Enable and upskill engineering teams through practical guidance, examples, and training Bootstrap new projects with AI first engineering practices and tooling Rapidly prototype and validate new approaches, focusing on real delivery impact Ensure all AI enabled workflows are robust, observable, and production safe Skills and Experience Core Engineering Strong software engineering background (ideally C# / .NET) in cloud based SaaS environments Experience building and operating distributed systems Strong understanding of APIs, systems design, and modern development practices Experience with CI/CD pipelines (Azure DevOps preferred) AI & Agentic Engineering Hands on experience using AI within real development workflows (not standalone tools) Deep familiarity with AI native IDEs (Cursor preferred, or similar) Proven experience designing structured AI workflows, including reusable prompts, skills, or templates Multi step or agent based execution patterns Tool integration and workflow orchestration Experience integrating AI into engineering systems, such as CI/CD pipelines, PR validation and automation, developer tooling Practical application of AI to test generation and maintenance, code analysis, refactoring, and quality improvement Delivery & Problem Solving Track record of delivering production grade solutions, not just prototypes Experience enabling other engineers or teams to adopt new technologies at scale Strong problem solving skills in complex, evolving environments Ability to define patterns where none exist and make them usable by others Important Clarification Experience limited to prompt based tools used in isolation is not sufficient. We are looking for engineers who have embedded AI into real engineering systems and workflows and have scaled those practices across teams. Minimum Qualifications Software engineering experience in cloud based SaaS environments Experience designing and evolving enterprise scale distributed systems Demonstrated impact in improving engineering delivery or developer productivity Practical experience applying AI within professional engineering workflows Experience working within enterprise SaaS platforms Right to work in the country of employment Integrity and Ethics All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.
Senior AI Engineer (Agentic Systems) UK Based Role At StarCompliance, we build software that supports critical compliance needs for global clients. We are now embedding AI as a core capability across the entire software development lifecycle. We are seeking a Senior AI Engineer to lead the practical adoption and scaling of AI-assisted and agentic engineering across our teams. This is not a research or experimentation role. You will work hands on within real codebases, using modern AI native development environments (Cursor preferred) to fundamentally change how software is built, tested, and delivered. Your focus is to turn AI from a tool into a system-repeatable, scalable, and embedded. You will define and implement playbooks, patterns, and workflows that enable teams to operate with parallel AI agents, autonomous code review, and AI driven delivery pipelines. You will also help bootstrap new initiatives, ensuring they start with the right architecture, tooling, and AI enabled engineering practices from day one. This role sits within R&D Engineering and partners closely with Platform, QA, and Product Engineering. Influence is earned through delivery, not hierarchy. How We Think About AI AI is not an assistant. It is part of the engineering system. We expect engineers in this role to: Embed AI directly into development workflows, not use it as a separate tool Design repeatable, production grade AI workflows, not one off prompts Leverage agentic patterns such as multi step execution, tool chaining, and parallelisation Apply AI across the lifecycle: coding, testing, review, and delivery Balance speed with control, operating safely within a regulated SaaS environment Deliver measurable improvements in throughput, quality, and developer experience Responsibilities Design and implement scalable AI assisted engineering workflows across teams Establish playbooks, standards, and best practices for agentic development Build and operationalize: Task specific agents (e.g. test generation, refactoring, code analysis) Reusable skills, templates, and workflows Multi agent and parallel execution patterns Integrate AI into CI/CD pipelines (Azure DevOps preferred), including: Autonomous or assisted code review AI driven test generation and maintenance Code quality and compliance checks Implement automation triggers and hooks to embed AI into the delivery lifecycle Work directly within codebases to accelerate delivery and improve quality Enable and upskill engineering teams through practical guidance, examples, and training Bootstrap new projects with AI first engineering practices and tooling Rapidly prototype and validate new approaches, focusing on real delivery impact Ensure all AI enabled workflows are robust, observable, and production safe Skills and Experience Core Engineering Strong software engineering background (ideally C# / .NET) in cloud based SaaS environments Experience building and operating distributed systems Strong understanding of APIs, systems design, and modern development practices Experience with CI/CD pipelines (Azure DevOps preferred) AI & Agentic Engineering Hands on experience using AI within real development workflows (not standalone tools) Deep familiarity with AI native IDEs (Cursor preferred, or similar) Proven experience designing structured AI workflows, including reusable prompts, skills, or templates Multi step or agent based execution patterns Tool integration and workflow orchestration Experience integrating AI into engineering systems, such as CI/CD pipelines, PR validation and automation, developer tooling Practical application of AI to test generation and maintenance, code analysis, refactoring, and quality improvement Delivery & Problem Solving Track record of delivering production grade solutions, not just prototypes Experience enabling other engineers or teams to adopt new technologies at scale Strong problem solving skills in complex, evolving environments Ability to define patterns where none exist and make them usable by others Important Clarification Experience limited to prompt based tools used in isolation is not sufficient. We are looking for engineers who have embedded AI into real engineering systems and workflows and have scaled those practices across teams. Minimum Qualifications Software engineering experience in cloud based SaaS environments Experience designing and evolving enterprise scale distributed systems Demonstrated impact in improving engineering delivery or developer productivity Practical experience applying AI within professional engineering workflows Experience working within enterprise SaaS platforms Right to work in the country of employment Integrity and Ethics All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.