EPAM Systems (Nordic) AB

We are looking for a Product Manager/Product Owner to join our team in a hybrid working model in Goteborg and help our clients and internal teams transform business needs into well-defined technology and AI solutions while leading their delivery. You will work closely with stakeholders to understand how the business operates, shape requirements that teams can build and adopt and guide cross-functional teams through agile delivery. As a consultant, you will combine analytical rigor and structured delivery management with an advisory mindset, helping stakeholders prioritize, make informed decisions and realize measurable value. You will take ownership of one or more products or workstreams, working with client stakeholders, architects, engineers and specialists. Assignments may vary in size, industry and delivery model, requiring flexibility to support diverse priorities across client engagements and internal initiatives. Responsibilities Work with business stakeholders and users to understand goals, current processes, pain points, and constraints, and translate them into clear problem statements, product scope, and measurable success criteria Facilitate discovery activities such as interviews, workshops, and process walkthroughs, and map current and target business processes and capabilities Define, prioritize, and maintain requirements as epics, user stories, and testable acceptance criteria, covering business rules, data, integrations, edge cases, and non-functional needs Set up and run agile delivery, adapting Scrum, Kanban, or hybrid approaches to the product, and refine the backlog, sprint planning, reviews, and retrospectives Plan and track scope, schedule, budget, resources, and dependencies, and keep delivery transparent through regular reporting and clear status updates Identify and manage risks, issues, and dependencies early, and escalate decisions beyond the product's scope in a timely way Act as a main point of contact for client and internal stakeholders, facilitate workshops, steering meetings, and reviews, and build agreement across teams Coordinate cross-functional, often distributed teams, including vendors and partners, creating a collaborative and accountable working environment Identify where AI can support business processes, and manage AI and data initiatives from discovery and proof of concept through production adoption, working with AI specialists on feasibility, data readiness, evaluation, and responsible use Use AI tools responsibly to support analysis and product work, such as summarizing input, drafting requirements, planning, and reporting, while following client and company data-handling rules Requirements Proven experience in business analysis and/or product management on IT, digital, or technology products, preferably in a client-facing or consulting environment Strong skills in requirements elicitation, documentation, and prioritization, including user stories, acceptance criteria, and process modeling (for example BPMN or UML), and strong skills in planning, scope management, budget and resource tracking, and risk and issue management Solid practical experience with agile methods and frameworks such as Scrum, Kanban, or SAFe, and the ability to combine them with traditional planning where needed Understanding of the software development lifecycle, data, and system integrations, with enough technical literacy to discuss solutions and trade-offs with architects and engineers Working understanding of AI and generative AI use cases, limitations, and delivery considerations, such as data quality, evaluation, privacy, and human oversight Practical experience using AI tools to support everyday work, with good judgment on when and how to use them Strong facilitation and stakeholder management skills, including running workshops, managing expectations, handling conflicting priorities, and communicating clearly with business and technical audiences Ability to structure ambiguous problems, lead teams, and build alignment without formal authority, including in distributed and multicultural settings Experience with collaboration and delivery tools such as Jira, Confluence, Azure DevOps, Miro, or similar Strong written and spoken communication skills in English Nice to have Experience in the automotive industry or similarly complex manufacturing or engineering environments Experience delivering AI, data, or cloud transformation products Business analysis, agile, or product management certifications, such as CBAP, CCBA, PSPO, PSM, PMP, PRINCE2, or SAFe; equivalent applied experience is equally valuable Experience with the commercial side of delivery, such as fixed-price or time-and-materials engagements, estimation, and contract management Experience with data analysis, SQL, or reporting tools such as Power BI A degree in business, technology, engineering, or a related discipline, or equivalent professional experience We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Company’s pension plan Private healthcare insurance Safety & life insurance Gym discounts Wellness Grant (SEK 2000) Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Enterprise Architects bridge business strategy and technology, shaping internal initiatives and client engagements in Goteborg through onsite collaboration. You define target architectures and transformation roadmaps, guiding delivery teams and stakeholders to balance business value, cost, risk and maintainability. The role spans technical selling, client-facing projects and alignment to specific accounts based on business priority. You independently lead architecture for business domains or transformation initiatives, working with leaders, product teams, solution architects and specialists to ensure decisions align with enterprise direction. This position matters because it drives sustainable technology choices that support organizational growth. Responsibilities Translate business goals into capability assessments, architecture requirements and prioritized transformation roadmaps Assess the current business, application, data and technology landscape; define target and transition architectures that address dependencies and legacy constraints Identify opportunities to simplify application portfolios, reduce duplication and technical debt, and reuse enterprise capabilities Guide architecture decisions across initiatives, maintaining principles, reference patterns, decision records and clear governance for exceptions Work with delivery teams from discovery through implementation, reviewing designs and resolving cross-system dependencies and architectural risks Address security, privacy, resilience and regulatory requirements with relevant specialists, balancing delivery needs with enterprise standards Facilitate stakeholder workshops and architecture reviews, communicate trade-offs clearly and mentor solution architects and technical leads Support client discovery and technical proposals with feasible solution options, vendor assessments, estimates, risks and business cases, including total cost of ownership Assess where AI can support business capabilities and advise on data readiness, integration, security and governance in collaboration with AI specialists Requirements Ten years of relevant IT experience, including three years in enterprise, domain or solution architecture within complex organizations Experience leading architecture for at least one transformation initiative spanning multiple systems or business functions, from assessment and target design through implementation Practical experience in business capability and process mapping, application portfolio assessment and development of target architectures and transition roadmaps Strong understanding of integration patterns, APIs, data architecture, cloud and hybrid environments, and non-functional requirements such as security, scalability, and resilience Ability to apply enterprise architecture frameworks and modeling tools pragmatically, producing clear diagrams, standards and decision records that teams use in delivery Business and financial judgment to compare technology options, assess vendors, and explain cost, benefit, risk and return-on-investment trade-offs Strong communication and facilitation skills in English, including client workshops and discussions with senior business stakeholders; ability to build agreement across teams without formal authority Working understanding of privacy, regulatory and industry requirements, with experience translating them into architecture decisions alongside relevant specialists Working understanding of enterprise AI and generative AI use cases, limitations and key architecture considerations, including data privacy, human oversight and integration with existing systems Nice to have Experience in federated enterprises or regulated industries Exposure to evaluating or integrating AI-enabled enterprise products or supporting an AI adoption initiative Relevant architecture or cloud certifications, such as TOGAF or ArchiMate; equivalent applied experience is equally valuable A degree in technology or a related discipline, or equivalent professional experience We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Company’s pension plan Private healthcare insurance Safety & life insurance Gym discounts Wellness Grant (SEK 2000) Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Enterprise Architects bridge business strategy and technology, shaping internal initiatives and client engagements in Goteborg through onsite collaboration. You define target architectures and transformation roadmaps, guiding delivery teams and stakeholders to balance business value, cost, risk and maintainability. The role spans technical selling, client-facing projects and alignment to specific accounts based on business priority. You independently lead architecture for business domains or transformation initiatives, working with leaders, product teams, solution architects and specialists to ensure decisions align with enterprise direction. This position matters because it drives sustainable technology choices that support organizational growth. Responsibilities Translate business goals into capability assessments, architecture requirements and prioritized transformation roadmaps Assess the current business, application, data and technology landscape; define target and transition architectures that address dependencies and legacy constraints Identify opportunities to simplify application portfolios, reduce duplication and technical debt, and reuse enterprise capabilities Guide architecture decisions across initiatives, maintaining principles, reference patterns, decision records and clear governance for exceptions Work with delivery teams from discovery through implementation, reviewing designs and resolving cross-system dependencies and architectural risks Address security, privacy, resilience and regulatory requirements with relevant specialists, balancing delivery needs with enterprise standards Facilitate stakeholder workshops and architecture reviews, communicate trade-offs clearly and mentor solution architects and technical leads Support client discovery and technical proposals with feasible solution options, vendor assessments, estimates, risks and business cases, including total cost of ownership Assess where AI can support business capabilities and advise on data readiness, integration, security and governance in collaboration with AI specialists Requirements Ten years of relevant IT experience, including three years in enterprise, domain or solution architecture within complex organizations Experience leading architecture for at least one transformation initiative spanning multiple systems or business functions, from assessment and target design through implementation Practical experience in business capability and process mapping, application portfolio assessment and development of target architectures and transition roadmaps Strong understanding of integration patterns, APIs, data architecture, cloud and hybrid environments, and non-functional requirements such as security, scalability, and resilience Ability to apply enterprise architecture frameworks and modeling tools pragmatically, producing clear diagrams, standards and decision records that teams use in delivery Business and financial judgment to compare technology options, assess vendors, and explain cost, benefit, risk and return-on-investment trade-offs Strong communication and facilitation skills in English, including client workshops and discussions with senior business stakeholders; ability to build agreement across teams without formal authority Working understanding of privacy, regulatory and industry requirements, with experience translating them into architecture decisions alongside relevant specialists Working understanding of enterprise AI and generative AI use cases, limitations and key architecture considerations, including data privacy, human oversight and integration with existing systems Nice to have Experience in federated enterprises or regulated industries Exposure to evaluating or integrating AI-enabled enterprise products or supporting an AI adoption initiative Relevant architecture or cloud certifications, such as TOGAF or ArchiMate; equivalent applied experience is equally valuable A degree in technology or a related discipline, or equivalent professional experience We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Company’s pension plan Private healthcare insurance Safety & life insurance Gym discounts Wellness Grant (SEK 2000) Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

As an AI Architect focused on agentic AI and enterprise platforms, you shape how organizations design and implement advanced AI solutions. In Goteborg, you independently own architecture for defined solutions or platform workstreams, collaborating onsite with client enterprise architects and specialists in security, identity, data and integration. You translate business needs into practical architectures, evaluate technology choices, and guide delivery from initial design through production adoption. This role matters because it enables enterprise clients to realize the value of agentic AI through robust, scalable and secure platforms. Responsibilities Translate business use cases and constraints into architecture requirements, measurable success criteria and an achievable implementation roadmap Develop target architectures, integration designs, and reusable patterns for AI solutions and platform capabilities, aligned with enterprise standards Evaluate models, agent frameworks, orchestration approaches, and enterprise platforms against quality, security, interoperability, reliability, latency and cost requirements Collaborate with domain specialists to address identity, authorization, data access, tool integration and interoperability across vendor platforms and existing systems Build focused prototypes or reference implementations, review technical designs and help engineers resolve architectural issues as solutions move into production Define evaluation criteria, observability, human oversight, failure handling and operational controls with engineering, security and responsible-AI teams Facilitate architecture workshops, reconcile input from client teams and vendors and document decisions, trade-offs, dependencies and implementation guidance Guide teams in applying agreed patterns and standards, mentor engineers on architecture and use delivery feedback to improve the design Translate relevant developments in agentic AI into practical recommendations grounded in client needs and implementation evidence Requirements Seven years of experience in software engineering, cloud platforms, data/AI engineering or solution architecture, including two years owning architecture or leading technical design Two years designing or delivering AI solutions, including recent hands-on work with LLM-based applications Architecture or technical design ownership of at least one LLM-based solution deployed to production, with the ability to explain integration choices, evaluation results and operational lessons Practical experience with model selection, retrieval-augmented generation (RAG), tool use and agent orchestration, including the judgment to choose between agentic workflows and simpler approaches Experience designing solutions in a complex enterprise environment; strong knowledge of at least one cloud or enterprise AI platform, APIs, integration patterns, identity and access control Proficiency in Python or another relevant language sufficient to build prototypes, review implementation choices and investigate integration issues Practical understanding of evaluation, deployment, monitoring and cost management, together with data protection, prompt-injection risks, tool permissions and human oversight Ability to produce clear diagrams, decision records and implementation guidance; facilitate client workshops; and explain technical trade-offs to engineers and business stakeholders Ability to structure ambiguous requirements, work across teams and vendors and build agreement without formal authority, while escalating decisions beyond the workstream's scope Nice to have Experience with multiple enterprise AI platforms, shared agent services or centralized capabilities for agent registration, policy enforcement, and monitoring Familiarity with Model Context Protocol (MCP), agent-to-agent interoperability, tool gateways, execution sandboxing, agent identity or knowledge graphs Experience turning architecture patterns into adopted standards across teams in a large or federated enterprise Familiarity with responsible-AI governance and the EU AI Act, and experience working with legal, risk or compliance specialists Experience in automotive, manufacturing or similarly complex enterprise environments We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Company’s pension plan Private healthcare insurance Safety & life insurance Gym discounts Wellness Grant (SEK 2000) Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Full Stack Developers in Goteborg design, build and improve web applications that support real business workflows, including practical AI-enabled features. You own features across frontend, backend and data layers, from requirements clarification through production delivery. Working onsite with product owners, architects, designers and client stakeholders, you combine hands-on engineering with precise specifications, responsible use of AI development tools and validation of business outcomes. This role matters because it drives the creation of robust, user-focused solutions that enhance enterprise operations. Responsibilities Understand how users work, clarify requirements with product owners and domain experts, and surface assumptions, dependencies and constraints before implementation Translate agreed requirements into buildable feature specifications and testable acceptance criteria, covering business rules, data flows, permissions, edge cases and failure scenarios Design, implement and maintain frontend components, backend services, REST APIs and data models within the agreed architecture; explain technical trade-offs and raise decisions that affect other systems Use AI coding assistants and agents to support implementation, testing and refactoring. Provide clear context and constraints, review generated changes and remain accountable for their correctness, security and maintainability Integrate applications with enterprise systems and AI services through APIs, supporting features such as summarization or semantic search with appropriate authentication, data consistency, output validation and fallback behavior Write automated unit, integration and end-to-end tests. Demonstrate features against agreed business scenarios, incorporate user feedback and make validation gaps visible Contribute to CI/CD pipelines and deployment automation; support releases, application monitoring and production troubleshooting Diagnose issues across the stack using logs, traces and test evidence, distinguishing requirement gaps from implementation defects and test failures Improve existing codebases through focused refactoring, peer reviews and documentation; communicate delivery risks and propose practical improvements within the agreed scope Requirements Five years in software development, with frontend and backend experience and independent delivery of production features Strong proficiency in at least one backend stack, such as C#/.NET, Node.js or Python, with sound knowledge of API design and application architecture Solid JavaScript/TypeScript skills and practical experience with React, Angular or a comparable framework, including responsive, accessible interfaces and application state management Experience with SQL and/or NoSQL databases, data modeling, schema changes, query performance and data consistency trade-offs Practical experience with cloud-hosted applications, preferably Azure, and working knowledge of containerization, CI/CD and infrastructure as code Strong automated testing, debugging, Git and code review skills, with experience addressing application security, reliability and performance Practical experience using AI coding assistants or agents, including supplying requirements and repository context, checking generated code, diagnosing failures and following project data-handling rules Practical exposure to integrating LLM APIs through a project or prototype, with a basic understanding of prompts, output validation, data privacy and usage costs Ability to clarify business workflows and turn them into implementable requirements and acceptance scenarios, including behavior inferred from existing applications Clear communication with technical and non-technical stakeholders; willingness to ask questions, challenge unsupported assumptions and escalate risks early Ownership of feature quality through implementation, deployment and user feedback, with effective collaboration across product and engineering Nice to have Experience with retrieval-augmented generation (RAG) or managed cloud AI services, particularly on Azure Experience with identity and access management, event-driven integrations or enterprise application modernization Deeper experience with Kubernetes, infrastructure as code or application observability Experience in automotive or other enterprise environments, and participation in client workshops or user acceptance sessions We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP) Company’s pension plan Private healthcare insurance Safety & life insurance Gym discounts Wellness Grant (SEK 2000) Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.