Agile Project Manager (AI-Enabled Delivery)

🏢 Summary: AI Product Manager role focused on defining and delivering AI-enhanced capabilities for a framework-agnostic UI component library, embedding agentic workflows and automated SDLC tooling into engineering practices. The position owns the product roadmap, backlog, and stakeholder alignment to drive measurable outcomes in an AI-powered development environment. 🗂️ Requirements: 3+ years experience as Product Owner or Product Manager in software engineering, Experience managing complex backlogs across multiple workstreams, Strong knowledge of Scrum and Kanban frameworks, PMBOK knowledge, Working knowledge of AI/LLM-powered tooling and prompt engineering, Understanding of agentic workflows and MCP concepts, Experience with CI/CD pipelines and SDLC automation, Experience with GitLab and automated code review tools, Ability to define acceptance criteria for AI features, Experience with delivery metrics and data-driven prioritization, Ability to produce PRDs and structured technical documentation, Business-level English (C1+) 📃 Skills: AI, LLM, MCP, CI/CD, GitLab, Scrum, Kanban, PMBOK, SDLC, LangChain, SemanticKernel, CrewAI, PowerBI, Grafana, Stencil, HTML 🏢 Description: (#5027) About the Role: AI Product Manager responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications. We are looking for an AI-savvy Product Manager to join the project programme for our Client. The Engineering team builds and maintains a framework-agnostic UI component library used across Client’s software products, and is now actively embedding AI-assisted workflows, MCP-based agentic infrastructure, and automated SDLC tooling into its engineering practice. In this role you will own the product backlog, define and prioritise the roadmap for AI-enhanced capabilities, align cross-functional stakeholders (engineering, architecture, Client’s PMs), and drive measurable delivery outcomes in a fast-moving agentic tooling context. About the Client: Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software. Become a part of Client’s innovation department which is creating and managing cutting-edge technical architectures, serves as a shared platform for research and development within Client's large organization. It primarily focuses on research and development including broad incorporation of Artificial Intelligence (AI), cloud-based software, high-performance computing, etc. Responsibilities: Product Strategy & Roadmap Define and maintain the AI product roadmap for the  UI component library product, aligned with Client’s Digital Innovation department’s strategic objectives. Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices. Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership. AI & Agentic Infrastructure Ownership Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines. Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the  UI component library development lifecycle. Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents. Backlog & Delivery Management Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality. Coordinate and execute releases planning and scope management Aligning on business needs, performing AI-analysis for advancing the prioritization process, ensuring the issues and new features are structured and validated with business stakeholders/consumers. Stakeholder Alignment & Communication Act as the primary bridge between Client’s product stakeholders and the vendor’s and N-iX’s engineering teams, ensuring clear, timely, and transparent communication. Produce executive-level product roadmaps reports aligned to Company’s brand guidelines. Identify, track, and escalate risks and dependencies in the delivery timeline. Consumer & Quality Focus Maintain the consumer-facing  UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers. Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria. Key Skills & Requirements: Product Ownership 3+ years of experience as a Product Owner or Product Manager in a software engineering environment. Proven track record of managing complex backlogs with competing priorities across multiple workstreams. Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas. AI & Technical Fluency Working knowledge of AI/LLM-powered tooling - including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts. Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams. Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM. Stakeholder & Delivery Management Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model. Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers). Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation. Communication & Documentation Excellent written and verbal communication in English (business-level required; C1+). Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations. Nice to have: Experience with UI platform or design system products (component libraries, Stencil.js, web components). Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns. Background working within large enterprise engineering organisations. Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting. Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports). Certifications: Advantageous AI Product Management certification (e.g., Pragmatic Institute AI PM, Product School AI PM Certificate) ITIL 4 Foundation — for service and change management context in enterprise delivery

🏢 Summary: Full-time B2B Delivery/Product Lead role focused on leading end-to-end delivery of AI solutions in a TSL environment. The position bridges business needs and technical implementation, owning backlog, architecture alignment, and production releases. Requires driving agile squads and ensuring secure, scalable, and compliant AI deployments. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics or related field, 10+ years of experience in agile product or software delivery, Experience with backlog management and delivery flow, Working knowledge of AI, ML, LLM or RAG solutions, Understanding of software architecture, APIs and system integrations, Knowledge of AI governance, security and data privacy principles, Experience translating business needs into technical requirements, Experience working with cross-functional enterprise teams, Fluent Business English, Working knowledge of Jira, Confluence and MS Office 📃 Skills: AI, ML, LLM, RAG, APIs, Architecture, Integrations, Security, Compliance, DataPrivacy, Agile, Scrum, Backlog, Jira, Confluence, MSOffice 🏢 Description: PROJECT INFORMATION: Role: Delivery Lead / Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Full-time Delivery/Product Lead role focused on driving end-to-end delivery of AI solutions in a hybrid model in Warsaw. The position bridges business needs with technical implementation, leading agile squads from discovery to production while ensuring architectural, security, and governance standards. The assignment runs until the end of 2026 under a B2B contract. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics or related field, 10+ years of experience in agile product or software delivery, Proven experience in backlog management and delivery flow, Working knowledge of AI, ML, LLM or RAG solutions, Understanding of software architecture and system integrations, Knowledge of APIs and technical integrations, Familiarity with AI governance, security and data privacy principles, Experience leading cross-functional technical teams, Fluent Business English, Working knowledge of Jira and Confluence 📃 Skills: AI, ML, LLM, RAG, Architecture, APIs, Integrations, Agile, Scrum, Backlog, Jira, Confluence, Security, Compliance, DataPrivacy, MSOffice 🏢 Description: PROJECT INFORMATION: Role: Delivery Lead/Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Full-time B2B Delivery/Product Lead role focused on leading end-to-end delivery of AI solutions in a hybrid model (Warsaw). The position bridges business needs and technical implementation, owning backlog, architecture alignment, and production release. The goal is to ensure scalable, secure, and value-driven AI deployments across enterprise initiatives. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or related field, 10+ years of experience in agile product or software delivery, Strong experience in backlog management and delivery flow, Working knowledge of AI/ML/LLM/RAG solutions, Understanding of software architecture, APIs, and system integrations, Knowledge of AI governance, security, and data privacy principles, Experience translating business requirements into technical scope and backlog, Experience leading technical delivery from discovery to production, Fluent English (written and spoken), Working knowledge of Jira, Confluence, and MS Office 📃 Skills: AI, ML, LLM, RAG, APIs, Architecture, Integration, Security, Compliance, DataPrivacy, Governance, Agile, Backlog, Jira, Confluence, MSOffice, Monitoring 🏢 Description: PROJECT INFORMATION: Role: Delivery Lead/Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Senior Scrum Master role focused on leading Agile delivery for AI-driven products and projects, combining team facilitation with strategic contribution to Agile practices. The position supports cross-functional teams, ensures alignment between technical constraints and business goals, and drives continuous improvement across the organization. It also involves coaching, knowledge sharing, and advancing Agile maturity within complex AI environments. 🗂️ Requirements: 5+ years experience as Scrum Master or Project Manager in Agile environments, Scrum Master certification (PSM II or A-CSM), Hands-on experience with AI products or AI-driven projects, Deep knowledge of Scrum and Agile frameworks, Experience with scaling Agile concepts, Experience working with cross-functional teams including data science and engineering, Ability to align Agile practices with technical and business constraints, Experience in metrics-driven delivery and continuous improvement 📃 Skills: Scrum, Agile, AI, PSM, A-CSM, Kanban, SAFe, Jira, Confluence, Metrics 🏢 Description: We are looking for an experienced Senior Scrum Master with a strong background in AI-driven products and projects. This role involves more than just team facilitation; it requires strategic contributions to Agile practices, active involvement in the Agile Competence Centre, and the sharing of knowledge across the organization. Main Responsibilities • Facilitate Agile ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, Retrospectives) ensuring high team engagement and continuous improvement. • Act as a servant leader, coaching teams and stakeholders on Agile and Scrum best practices. • Support the delivery of AI-based products and projects, ensuring alignment between Agile practices, technical constraints, and business goals. • Identify, remove, and proactively prevent impediments that may impact team performance or delivery. • Ensure all expected deliveries from the previous seniority level are met with consistency and quality. • Suggest and help implement new Agile practices and procedures, aligned with the guidelines of the Agile Competence Center. • Promote Agile maturity across teams and stakeholders. • Conduct knowledge-sharing and training sessions within the hub, contributing to upskilling and standardization. • Collaborate closely with Product Owners, Project Managers, and technical leaders to ensure roadmap alignment and value delivery. Key Requirements 5+ years of experience as a Scrum Master or Project Manager in Agile environments. Scrum Master Certification: PSM II or A-CSM. Proven, hands-on experience with AI products and/or AI-driven projects. Deep understanding of Scrum, Agile frameworks, and scaling concepts. Experience working with cross-functional, multidisciplinary teams (including data science and engineering profiles). Strong facilitation, coaching, and communication skills. Ability to influence without authority and drive change at team and organizational levels. Analytical mindset with a focus on continuous improvement and metrics-driven delivery. Comfortable working in complex, evolving environments typical of AI initiatives.

🏢 Summary: Full-time B2B Delivery/Product Lead role focused on leading end-to-end delivery of AI solutions, translating business needs into technical scope, and ensuring successful production rollout. The role bridges business and technical teams, owning backlog, architecture alignment, and AI governance to deliver scalable, value-driven solutions. Hybrid work model with responsibility for agile squads and cross-functional coordination. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics or related field, 10+ years of experience in agile product or software delivery, Strong backlog management and delivery flow expertise, Working knowledge of AI, ML, LLM, RAG solutions, Understanding of software architecture, APIs, integrations, Knowledge of AI governance, security, data privacy principles, Ability to translate business requirements into technical scope, Experience working in cross-functional enterprise teams, Fluent Business English, Experience with Jira and Confluence 📃 Skills: AI, ML, LLM, RAG, APIs, Architecture, Security, DataPrivacy, Jira, Confluence, Agile 🏢 Description: Role: Delivery Lead/Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Remote Delivery Manager role in a large-scale IT transformation program, focused on designing and implementing end-to-end, KPI-driven delivery processes across multiple product teams. The position emphasizes data-driven governance, tooling standardization, and alignment between business expectations and execution. Engagement is until year-end with possible extension. 🗂️ Requirements: Proven experience as Delivery Manager or Agile Delivery Lead, Experience designing end-to-end delivery processes, Ability to define and implement KPI-based delivery frameworks, Experience in process discovery and optimization, Practical experience with Jira configuration and reporting, Experience defining delivery metrics and reporting models, Experience with tooling migration and standardization, Knowledge of governance models for prioritization and budgeting, Experience in data-driven delivery environments, EU citizenship 📃 Skills: Jira, AzureDevOps, KPIs, SLA, CAPEX, OPEX, Reporting, Governance, Agile, DataAnalysis 🏢 Description: Join an organization that designs and delivers innovative solutions, improving operational efficiency and employee purchasing power on a global scale. As a Delivery Manager, you will play a key role in shaping how value is delivered across multiple product teams within a large-scale transformation program. This role focuses on building transparent, data-driven delivery processes and ensuring alignment between business expectations and execution. Project details Industry: IT Services Office location: Poland Type: New transformation project Work model: Remote Budget: 130-140 PLN net /h - b2b Project length: to the end of the year, with an option of extension The job offer is available for candidates with citizenship in the European Union Start date: ASAP Your responsibilities Design and implement end-to-end delivery processes (from intake to release) across multiple teams Define and drive KPI-based delivery frameworks (e.g. lead time, cycle time, SLA adherence) Analyze current ways of working and identify gaps, inefficiencies, and inconsistencies Translate business reporting needs into practical processes and tooling setup Collaborate with Product, Technology, and Business teams to ensure aligned delivery practices Support and guide Jira configuration (structure, workflows, reporting fields, CAPEX/OPEX tracking) Ensure data quality and consistency at the source to enable reliable reporting Lead or support tooling standardization and migration initiatives (e.g. Azure DevOps to Jira) Define and implement governance models for prioritization, budgeting, and delivery tracking Drive change management and adoption of new processes across teams Communicate effectively with stakeholders and ensure transparency of delivery performance We pay attention to candidates who have Proven experience as a Delivery Manager / Agile Delivery Lead / Transformation Lead Strong analytical mindset with the ability to design processes starting from business KPIs Experience in process discovery, assessment, and optimization Practical knowledge of Jira setup and reporting structures Experience in defining and implementing delivery metrics and reporting models Background in data-driven delivery environments and governance frameworks Experience with tooling migrations and standardization across teams Strong stakeholder management and communication skills Experience in change management and driving adoption across organizations We offer Opportunity to shape delivery model across a complex, multi-team organization High-impact role within a large-scale transformation program Work in a data-driven, KPI-focused environment Collaboration with international stakeholders across business and technology Real influence on processes, tools, and ways of working

🏢 Summary: Technical Product Manager role leading end-to-end delivery of AI and LLM-powered solutions integrated with SAP enterprise systems. Responsible for translating business needs into technical execution, coordinating cross-functional teams, and ensuring successful deployment from POC to MVP. Focused on integrating AI solutions within complex SAP landscapes and multi-component architectures. 🗂️ Requirements: 5+ years in product management, technical program management, or engineering leadership, Strong understanding of GenAI, LLMs, AI agents, vector databases, Experience integrating AI solutions with SAP (S/4HANA, ECC, BTP), Experience with SAP data extraction and API/OData integrations, Ability to document technical requirements and data flows, Experience coordinating complex technical deliveries, Stakeholder management with senior executives 📃 Skills: GenAI, LLM, SAP, S/4HANA, ECC, BTP, OData, APIs, VectorDB, AI, POC, MVP 🏢 Description: Technical Product Manager – AI / SAP Integration Role Overview: We are seeking a Technical Product Manager to drive AI- and LLM-powered solutions from concept to deployment. You will act as the owner of AI initiatives, translating business goals into technical execution, coordinating cross-functional teams, and keeping stakeholders aligned throughout the lifecycle. Key Responsibilities: Lead end-to-end delivery of AI/LLM use cases, from requirements and POCs to MVPs. Integrate AI solutions with enterprise systems, including SAP (S/4HANA, ECC, SAP BTP), aligning with existing processes and architecture. Collaborate closely with business stakeholders, providing updates, demos, and maintaining transparent communication. Document technical and business requirements, including data flows, transformations, and AI outputs. Coordinate developers, architects, designers, and data teams to ensure solutions meet expectations. Manage multiple initiatives simultaneously, prioritizing effectively and ensuring smooth execution. Support operational readiness until formal support structures are in place. Qualifications & Experience: 5+ years in product management, technical program management, or engineering leadership. Solid technical understanding of GenAI / LLMs, multi-component architectures, AI agents, and vector databases. Experience integrating AI solutions with SAP, including data extraction, API/OData integrations, and working with SAP functional/technical teams. Exceptional stakeholder management skills and ability to communicate effectively with senior executives. Proven track record coordinating complex technical deliveries and removing roadblocks proactively.

🏢 Summary: Project Manager role leading AI and machine learning initiatives in the automotive sector, focused on delivering computer vision solutions that enhance vehicle safety and comfort. The position involves managing end-to-end project execution, aligning cross-functional teams, and standardizing AI/ML development processes to ensure timely and high-quality delivery. 🗂️ Requirements: Degree in Engineering or Computer Science with focus on AI/ML, Minimum 2 years of project or product management experience, Minimum 2 years in deep tech/data role within automotive, robotics, or aerospace, Experience leading cross-functional technical teams, Knowledge of automotive development processes, Experience managing AI/ML projects, Fluency in English 📃 Skills: AI, ML, ComputerVision, ADAS, KPI, Automotive, ProjectManagement, Data, Engineering, English 🏢 Description: Location: Hybrid 1-2 days per week from office in Kraków Industry: Automotive Rate: 125 pln/h on b2b Summary: The Project Manager role is focused on managing and executing AI and machine learning initiatives within the automotive sector. The main objective is to enhance vehicle safety and comfort through innovative computer vision and machine learning algorithms while ensuring the successful delivery of projects within timelines. Responsibilities: Create and manage a comprehensive product roadmap for global E2E organization. Oversee project execution, ensuring timelines are aligned and risks are mitigated. Collaborate with cross-functional teams to define and track product requirements. Partner with the Product organization for project plan execution and alignment. Standardize development processes across AI/ML projects. Define and track KPIs for AI/ML initiatives. Provide strategic recommendations to leadership through assessments and proposals. Manage North America project interests and coordinate with global teams. Enhance cross-platform integration through horizontal alignment of projects. Support high visibility demo activities on-site. Key Requirements: Strong background in Engineering or Computer Science, focused on AI/ML. 2+ years of project or product management experience. Minimum 2 years in a deep tech/data role within automotive/robotics/aerospace. Experience leading cross-functional teams across various competencies. Extensive knowledge of automotive development processes. Strong problem-solving, organizational, and analytical skills. Excellent communication and leadership skills. Fluency in English. Nice to Have: Experience with ADAS or related technologies. Understanding of KPI-based software quality tracking.

🏢 Summary: Project Manager role leading large-scale, complex technology initiatives using Lean Agile and Scrum methodologies. Responsible for end-to-end delivery, JIRA-based project tracking, financial governance, and stakeholder alignment across distributed teams. Focused on portfolio planning, budget ownership, and cloud-based environments. 🗂️ Requirements: 5+ years Project Management experience in large-scale complex projects, Experience leading distributed technical teams, Expert knowledge of Lean Agile and Scrum, Advanced JIRA project configuration and reporting, Experience with Lean portfolio metrics, Budget management and financial tracking, Experience with Steering Committees and governance processes, Full professional English, PMI or PRINCE2 certification, Agile certification 📃 Skills: Agile, Scrum, JIRA, Lean, PMI, PRINCE2, Azure, AWS, GCP, CRM, RACI 🏢 Description: This position is responsible for working collaboratively with customers to execute yearly technology goals. You will coordinate with internal teams—including Product Owners, Architects, Scrum Masters, and Developers—to ensure seamless project delivery. The role requires strategic thinking throughout the project life cycle, with a strong focus on budgetary ownership and portfolio-based planning. Key Responsibilities Agile Execution: Lead deliveries using Lean Agile practices and the Scrum framework; promote continuous improvement and industry best practices. JIRA Management: Create and maintain advanced dashboards for monitoring velocity, capacity, and burn rates to ensure full project visibility. Stakeholder Alignment: Identify key stakeholders, align them with a common vision, and manage both internal and external supplier relationships. Financial Oversight: Take ownership of project spending, secure approved funding, and track deliverables against contractual payment milestones. Governance & Reporting: Lead Steering Committee meetings, manage the RACI matrix, and handle formal project closure and handovers. Requirements Experience: 5+ years of hands-on Project Management experience, specifically leading large-scale, complex projects across distributed teams. Methodology: Expert knowledge of Lean Agile practices and experience measuring projects against Lean portfolio metrics. Tools: Advanced proficiency in JIRA (structuring projects, visibility boards, and reporting). Communication: Strong negotiation and presentation skills; ability to produce data-driven decks for executive-level discussions. Skills: Proactive, assertive, and capable of motivating teams while managing risks and resolving impediments. Languages: Full proficiency in English (English + Italian is a significant plus). Certification: Preferably Certified Project Manager ( PMI, Prince2 ) and Agile certified. Technical & Industry Assets Familiarity with Azure, AWS, or GCP cloud environments. Knowledge of Lottery systems, Player Platforms, CRM features, or Data Protection.