Technical Product Manager with SAP AND AI

🏢 Summary: Strategic Technical Product Manager (Data & AI) role owning the roadmap for customer-facing AI/ML models and data products in a SaaS environment. You will partner with executive clients to co-develop predictive features, translate business problems into technical specifications, and launch high-impact analytics solutions. This role sits at the intersection of data science, engineering, and go-to-market execution, driving measurable ARR growth. 🗂️ Requirements: 3+ years experience in Product Management, Data Analytics, or Data Engineering, Strong SQL skills (joins, aggregations), Experience with modern BI platforms (Sigma, Tableau, or Looker), Ability to translate business problems into technical data requirements, Experience working with AI/ML models or advanced analytics features, Strong understanding of SaaS product metrics and customer ROI 📃 Skills: SQL, Sigma, Tableau, Looker, Snowflake, DBT, Fivetran, Python, R, AI, ML, SaaS, Analytics, Data, Visualization 🏢 Description: We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the intersection of Data Science, Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop predictive models, analytical features, and SaaS data products. WHAT YOU'LL DO Shape the AI & Data Vision - Own the predictive roadmap for external AI/ML models, advanced analytics features, and data products - Co-innovate with strategic customers and design partners to validate ideas and uncover user needs - Partner with UX and Data Science to translate complex algorithms into intuitive data visualizations and impactful demos Execute & Ship with Impact - Translate customer business problems into technical specifications, transformation logic, and data requirements - Collaborate with Product Marketing and Sales to launch features that drive adoption, retention, and ARR expansion - Use data analysis to validate assumptions and test product hypotheses before development WHAT YOU’LL BRING - 3+ years of experience in Product Management, Data Analytics, or Data Engineering - Strong business and product acumen with ability to connect technical features to customer ROI - SQL fluency, including writing joins and aggregations - Experience with modern BI platforms such as Sigma, Tableau, or Looker - Ability to communicate effectively with executive clients, sales teams, engineers, and data scientists NICE TO HAVE - Experience with modern data stack tools such as Snowflake, DBT, Fivetran, and Sigma - Familiarity with Python or R for lightweight data analysis - Exposure to machine learning lifecycle or productionized models - Experience in complex B2B SaaS industries BENEFITS - Health and dental insurance - 401k with company match - Flexible Time Off or generous PTO plan - Paid holidays and up to 4 weeks paid bonding leave - Tuition reimbursement - Employee Assistance Program - 24/7 virtual medical care access

🏢 Summary: Technical Product Manager role owning data and AI-driven products, including business intelligence and embedded reporting features built on a commerce data platform. The position focuses on defining product strategy, refining AI-generated requirements, translating business needs into data models and workflows, and partnering closely with engineering. It emphasizes strong technical depth, SQL expertise, and hands-on involvement in architecture, data governance, and customer-facing solutions. 🗂️ Requirements: 5+ years of product management or equivalent experience in engineering, data, or analytics, Strong technical background with understanding of system architecture, APIs, and integrations, Proficiency in SQL, Ability to work with data models, schemas, and table-level structures, Experience translating business needs into actionable product requirements, Experience collaborating with engineering and data teams on technical or platform products, Strong problem-solving and decision-making skills, Experience engaging with customers or external stakeholders in a technical capacity, Ability to pass background check, Ability to pass credit check 📃 Skills: SQL, APIs, DataModeling, SystemArchitecture, BusinessIntelligence, Reporting, Snowflake, Sigma, AI, LangChain, DataGovernance, SemanticModeling, DataQuality, Analytics, Integrations 🏢 Description: The Technical Product Manager (TPM) is a deeply technical role focused on defining the right problems, shaping high-quality product requirements, and partnering with engineering to deliver customer-impacting solutions. This role operates within an AI-enabled product model, where initial requirements and workflows may be generated by AI. The TPM is responsible for validating, refining, and ensuring those outputs are accurate, complete, and aligned with both technical and business realities. You will own products within the data and AI portfolio, including business intelligence, embedded reporting, and AI-powered features built on top of a commerce data platform. This role requires strong product judgment, technical depth, and a clear understanding of how data structures drive product outcomes. This is not a project or delivery role. It is focused on product ownership, technical decision-making, and delivering meaningful customer value. Quick Facts - Full-time role - Background check required - Credit check required Job Responsibilities - Own specific product lines, features, or datasets within a defined domain - Define product strategy, roadmap, and lifecycle across data and AI-driven products - Validate incoming requests from sales, engineering, and customers, separating true problems from noise - Partner directly with customers and internal stakeholders to understand needs, constraints, and use cases - Refine AI-generated product requirements and workflows for accuracy, completeness, and usability - Translate complex business problems into structured workflows, data models, and decision logic - Produce clear, implementation-ready product specifications, including requirements, data contracts, and acceptance criteria - Ensure requirements reflect system architecture, dependencies, integrations, and real-world constraints - Participate in architecture and design discussions, making informed technical tradeoffs - Own embedded BI and reporting capabilities, ensuring dashboards and data products are accurate, performant, and valuable - Ensure strong data governance, including semantic consistency, data quality, and reliability across product surfaces - Collaborate closely with engineering, data, and business teams to deliver high-quality product outcomes - Stay engaged throughout execution to resolve questions, guide decisions, and ensure alignment to product intent - Incorporate production feedback and customer insights into future product iterations Required Qualifications - 5+ years of experience in product management or equivalent experience in engineering, data, or analytics roles - Strong technical background with the ability to understand system architecture, APIs, and integrations - Proficiency in SQL and the ability to work directly with data models, schemas, and table-level structures - Demonstrated ability to translate customer and business needs into clear, actionable product requirements - Experience working closely with engineering and data teams on technical or platform-based products - Strong problem-solving skills and ability to make and own decisions in high-autonomy environments - Experience engaging with customers or external stakeholders in a technical capacity Preferred Qualifications - Experience in payments, fintech, or enterprise SaaS environments - Experience building or shipping data products, analytics platforms, or BI/reporting solutions - Familiarity with modern data platforms (such as Snowflake) and BI tools (such as Sigma) - Experience working in AI-enabled or automation-driven product environments - Strong understanding of AI product principles, including semantics, grounding, and data quality - Familiarity with agentic AI frameworks or orchestration tools (such as LangChain or similar) - Experience with data governance, semantic modeling, and data quality frameworks - Strong ability to identify gaps, edge cases, and risks in product or technical designs - Experience supporting complex customer or partner integrations - Ability to influence cross-functional teams without owning delivery execution Benefits - Medical, prescription, dental, and vision coverage - Life insurance - Retirement plans with company match - Commission sharing plan - Flexible hybrid working environment - Parental and other leave programs - Opportunities for professional growth and upward mobility

🏢 Summary: Senior Technical Product Manager role focused on building and scaling analytics products for conversational AI data, including reporting tools, data services, and AI-driven insights. The position involves defining product strategy, managing analytics roadmaps, and collaborating with engineering and data science teams in a fully remote environment. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, Business, or related field, 7+ years of product management experience, Experience launching and managing SaaS analytics and reporting products, Understanding of data warehousing and BI tools, Knowledge of reporting systems and high-scale data processing, Experience with event-driven architectures and cloud infrastructure, Ability to define product strategy and manage product roadmaps, Strong analytical and data-driven decision-making skills, Experience working in agile environments, Experience collaborating with Data Engineering and Data Science teams, Experience with enterprise customer reporting and analytics needs 📃 Skills: SaaS, Analytics, BI, ETL, AI, ML, SQL, Cloud, KPIs, Datawarehousing, Reporting, Visualization, Agile 🏢 Description: As a Senior Technical Product Manager, you will join the Analytics Product team and be responsible for the Analytics suite, including Data Services, Analytics Studio, Report Center, and Data Transporter. The role focuses on defining strategy and execution for tools and services that leverage conversational data to provide actionable customer and internal insights. Position Overview You will lead the development and execution of Analytics capabilities, collaborating with Engineering, Data Science, Sales, and Customer Success teams to define product strategy, prioritize features, and deliver scalable and reliable analytics solutions. Key Responsibilities & Impact - Develop and articulate a clear product vision and strategy for the end-to-end Analytics platform. - Define, review, and prioritize features for the Analytic Studio/Builder and Report Center. - Manage the product roadmap for Data Services and Data Transporter. - Ensure timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. - Collaborate with Data Science and Engineering teams to integrate AI/ML-driven insights into analytics products. - Define and track KPIs and data quality metrics for data pipelines and analytic tools. - Translate complex data requirements into clear technical specifications. Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred). - 7+ years of experience in product management with SaaS analytics and reporting products. - Deep understanding of data warehousing, BI tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure. - Ability to define and execute product strategy in a fast-paced agile environment. - Strong analytical and communication skills. - Experience working with enterprise customers on analytics and reporting needs. - Passion for solving complex data and reporting challenges. Product Coverage Scope - Report Center & Analytic Studio/Builder: Tools for creating, visualizing, and sharing reports and dashboards. - Data Transporter & Data Services: ETL infrastructure and pipelines for conversational data. - Conversational Intelligence Analytics: AI/ML-powered insights such as sentiment analysis, topic clustering, and intent detection. Salary - Salary range: $110,000 to $125,000 USD. Benefits & Perks Health & Wellbeing - Medical, Dental, and Vision Insurance. - Wellness resources and Employee Assistance Program. Financial Security & Growth - 401(k) retirement plan with employer match. - HSA & FSA plans. - Employee Stock Purchase Program. - Life, disability, legal, and identity protection insurance. - Professional development resources. Time Away & Family Support - Flexible Paid Time Off. - Paid public holidays. - Generous parental leave policy. Workplace Flexibility - Fully remote work model with optional WeWork collaboration spaces. Equal Opportunity Employer The company is committed to fostering an inclusive workplace and providing equal employment opportunities for all qualified applicants. Accessibility Commitment Reasonable accommodations are available for applicants with disabilities.

🏢 Summary: Lead end-to-end delivery of a global SAP ECC to S/4HANA transformation within a regulated MedTech environment, coordinating cross-functional teams across business and IT. The role focuses on aligning business processes with system solutions while managing risks, compliance, and validation requirements. It includes oversight of complex ERP initiatives and collaboration with senior stakeholders in a global setup. 🗂️ Requirements: Proven experience as Technical Project Manager in IT or system-related projects, Experience with SAP transformation projects (ECC to S/4HANA), Background in pharma, medical devices or other regulated industry, Solid understanding of software delivery and system-based projects, Experience with ERP systems, Familiarity with GAMP5 and validation protocols, Ability to manage projects in regulated and compliance-driven environments, Experience coordinating cross-functional technical and business teams 📃 Skills: SAP, S/4HANA, ECC, ERP, GAMP5, PRINCE2 🏢 Description: Technical Project Manager (SAP Transformation) - Pharma / MedTech We are supporting an international MedTech organization undergoing a global SAP transformation (ECC → S/4HANA) . We are looking for a Technical Project Manager who will lead complex, cross-functional initiatives at the intersection of business and IT, within a highly regulated environment . Your role Lead end-to-end delivery of SAP transformation projects (ECC → S/4HANA) Coordinate activities across technical, functional and business teams Collaborate with key stakeholders, including Technology Leadership and Enterprise Architecture Ensure alignment between business processes and system solutions Manage timelines, risks and dependencies in a regulated environment (compliance, validation) Support smaller technology-related initiatives alongside the main program Your profile Proven experience as a Technical Project Manager in IT/system-related projects Background in pharma / medical devices or other regulated industries Solid understanding of software delivery and system-based projects Experience with ERP systems Familiarity with GAMP5 / validation protocols Strong stakeholder management skills, including working with senior leadership Delivery-oriented mindset and strong communication skills Nice to have Experience with SAP S/4HANA transformations PRINCE2 certification What’s important Ability to operate in a highly regulated environment Strong collaboration skills - this is a team-oriented role Comfort working in a global setup (cooperation with US teams) Why this role Opportunity to be part of a large-scale SAP transformation program High exposure to senior stakeholders Real impact on business processes and system landscape Benefits: annual bonus + share package in USD + interesting benefits.

🏢 Summary: Senior Technical Product Manager role focused on analytics products for conversational AI platforms, including data services, reporting tools, and AI-driven insights. The position involves defining product strategy, managing analytics roadmaps, and collaborating with engineering and data science teams to deliver scalable SaaS analytics solutions. Fully remote role with benefits, focused on enterprise-scale conversational data and analytics capabilities. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, Business, or related field, 7+ years of product management experience, Experience with SaaS analytics and reporting products, Understanding of data warehousing and BI tools, Knowledge of high-scale data processing, Experience with event-driven architectures, Knowledge of cloud infrastructure, Experience developing product strategy and roadmaps, Strong analytical and data interpretation skills, Experience working with enterprise customers, Ability to collaborate with cross-functional technical teams 📃 Skills: SaaS, Analytics, ETL, BI, AI, ML, Cloud, SQL, Datawarehousing, Reporting, Visualization, KPIs 🏢 Description: Position Overview As a Senior Technical Product Manager, you will join the Analytics Product team and be responsible for the Analytics suite, including Data services, Analytics Studio, Report Center, and Data Transporter. The core responsibility is to define the strategy and execution for tools and services that leverage conversational data to provide actionable customer and internal insights. As the Senior Product Manager for Analytics, you will lead the development and execution of Analytics capabilities, focusing on leveraging conversational data to provide actionable customer and internal insights. You will collaborate closely with cross-functional teams, including Engineering, Data Science, Sales, and Customer Success, to define product strategy, prioritize features, and deliver innovative solutions that ensure scalability, reliability, and best-in-class experiences for brands. Key Responsibilities & Impact - Develop and articulate a clear product vision and strategy for the end-to-end Analytics platform, ensuring it empowers customers and internal teams to gain actionable insights from conversational data. - Define, review, and prioritize features for the Analytic Studio/Builder and Report Center, focusing on an intuitive user experience for data exploration, visualization, and report scheduling. - Manage the product roadmap for Data Services and Data Transporter, guaranteeing the timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. - Work closely with Data Science and Engineering teams to integrate Conversational Intelligence (AI/ML-derived insights) features directly into the core analytics products. - Define and track key performance indicators (KPIs) and data quality metrics for all data pipelines and analytic tools, ensuring high data reliability, freshness, and tool usage. - Act as the primary interface between Analytics users (internal and external) and the Data Engineering teams, translating complex data requirements into clear, technical specifications. Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred). - 7+ years of experience in product management, with a track record of successfully launching and managing SaaS analytics and reporting products or platforms. - Deep understanding of data warehousing, business intelligence (BI) tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure. - Proven ability to develop and execute product strategy for data and analytics products, prioritize features, and drive product roadmap planning in a fast-paced, agile environment. - Strong analytical skills, with the ability to gather and interpret data, identify trends in product usage, and make data-driven decisions. - Excellent communication, collaboration, and leadership skills, with the ability to influence and inspire cross-functional teams. - Experience working with enterprise customers on their reporting and analytics needs. - Passion for innovation, creativity, and solving complex data and reporting challenges. Product Coverage Scope - Report Center & Analytic Studio/Builder: Tools for creating, visualizing, and sharing reports, dashboards, and custom analytics using conversational data. - Data Transporter & Data Services: Infrastructure and pipelines for extracting, transforming, and loading (ETL) large volumes of raw conversational data into analytical data stores. - Conversational Intelligence Analytics: Features that leverage AI/ML to derive insights from conversations, such as sentiment analysis, topic clustering, and intent detection. Salary The salary range for this role is between $110,000 to $125,000 USD. Benefits & Perks Health & Wellbeing - Medical, Dental, and Vision Insurance - Wellness resources and Employee Assistance Program (EAP) Financial Security & Growth - 401(k) retirement plan with employer match - HSA & FSA plans - Employee Stock Purchase Program (ESPP) - Additional insurance coverage options - Professional development resources Time Away & Family Support - Flexible Paid Time Off (PTO) - Paid public holidays - Generous parental leave policy Workplace Flexibility - Fully remote work model with optional collaborative workspace access Equal Opportunity Employer The company is committed to fostering an inclusive workplace and providing reasonable accommodations for applicants with disabilities.

🏢 Summary: AI Product Manager role focused on leading AI-powered features such as AI assistants, document intelligence, and dashboards, with strong emphasis on building and managing LLM-based products in production. The role covers full product lifecycle ownership, defining quality and reliability standards, and making strategic decisions on AI usage within enterprise platforms. Requires deep understanding of embeddings, retrieval, evaluations, tool calling, MCP, and orchestration in real-world environments. 🗂️ Requirements: Experience building and launching AI or LLM-based products in production, Understanding of embeddings, document retrieval, evaluations, tool calling, MCP, and AI limitations, Experience defining and managing product roadmaps, Experience working with Agile/Scrum methodologies, Ability to use Jira or similar project management tools, Bachelor’s degree in Economics, Business, Computer Science, or related field 📃 Skills: LLM, Embeddings, Retrieval, Evaluations, ToolCalling, MCP, Orchestration, Agile, Scrum, Jira, Analytics 🏢 Description: We are looking for a Product Manager who understands how LLM products work in real business environments. This includes embeddings, document search, evaluations, tool and function calling, MCP, orchestration, and system reliability. Overview We are an AI-focused enterprise solutions company that works with public and private companies, governments, institutions, asset managers, and family offices. With headquarters in New York City and four offices worldwide, our global team includes more than 300 engineers and delivery specialists. By bringing data together, automating workflows, and providing predictive insights, we help organizations improve operations and make better business decisions in complex environments. The Opportunity We are hiring an AI Product Manager to lead our AI product area, including our AI assistant, document intelligence tools, and AI-based dashboards and reporting features. We need a PM who understands how LLM products work in production, including embeddings, document retrieval, evaluations, tool and function calling, MCP, orchestration, and reliability. Responsibilities Create product vision and roadmaps for AI-powered features across our platform. Manage the full product lifecycle from idea to launch. Work closely with engineering, design, QA, marketing, and other teams to deliver successful product releases. Define quality and reliability standards for AI features, including evaluations, permissions, response speed, and error handling. Make strong product decisions about when to use AI, when to use standard UX solutions, and how to combine both effectively. Support daily project management activities and improve product development processes using Agile methods. Conduct market and customer research to understand user needs, analyze data, and help prioritize product features. Requirements Experience building and launching AI or LLM-based products in production, preferably in data, analytics, automation, or developer platforms. Understanding of embeddings, evaluations, tool calling, MCP, and the limits of AI products. Ability to take ownership of product roadmap planning and execution. Good understanding of Agile/Scrum methods and tools such as Jira. Strong communication skills and ability to work with both technical and non-technical teams. Strong analytical and problem-solving skills, with the ability to explain product decisions clearly. Bachelor’s degree in Economics, Business, Computer Science, or a related field.

🏢 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 Product Manager role focused on owning the strategy, roadmap, and delivery of AI-powered and LLM-based product features within enterprise platforms. The position involves driving end-to-end AI product lifecycle in Agile environments and defining production standards for AI systems. Hybrid work model from Warsaw with long-term engagement. 🗂️ Requirements: 4+ years of commercial experience as Product Manager or Project Manager, Experience building and launching AI-powered or LLM-based products in production, Strong understanding of modern AI concepts including embeddings, evals, tool calling, MCP, Knowledge of Agile/Scrum methodologies, Experience using Jira or similar project management tools, Experience working with engineering, design, and QA teams, Bachelor’s degree in Computer Science, Business, Economics, or related field 📃 Skills: AI, LLM, Embeddings, Evals, ToolCalling, MCP, Agile, Scrum, Jira, Analytics, Automation 🏢 Description: 💰 16,415 PLN - 20,000 PLN 🌎 Hybrid from Warsaw (3 days/week office) 🕦 Full-time position, long-term ☑️ Contract of Employment/B2B We are looking for a Product Manager to join our client, a technology company building AI-powered platforms and intelligent automation solutions for enterprise environments. The company focuses on leveraging modern AI and LLM technologies to improve workflows, analytics, and user experiences across complex products and platforms. In this role, you will own the strategy, roadmap, and delivery of AI-powered product experiences, working closely with engineering, design, QA, and business stakeholders. You will drive product decisions around AI functionality, define production standards for AI systems, and manage the end-to-end lifecycle of features from concept through launch. The position requires a strong understanding of AI product development, user experience, and cross-functional collaboration in fast-paced Agile environments. Requirements 4+ years of commercial experience as a Product Manager/Project Manager Proven experience building and launching AI-powered or LLM-based products in production environments, ideally within data, analytics, automation, developer tools, or platform products. Strong understanding of modern AI concepts and workflows, including embeddings, evaluations (evals), tool calling, MCP, and the practical limitations of AI systems. Solid knowledge of Agile/Scrum practices and experience working with tools such as Jira or similar project management platforms. Experience collaborating cross-functionally with engineering, design, and QA teams in fast-paced product environments. Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Bachelor’s degree in Computer Science, Business, Economics, or a related field. Key Responsibilities Own the product vision and roadmap for AI-powered features and experiences across the platform, managing the full product lifecycle from ideation to launch. Partner closely with engineering, design, QA, data, and go-to-market teams to drive successful product delivery and adoption. Define production standards for AI features, including quality benchmarks, evaluation frameworks, latency expectations, permissions, and fallback/failure handling. Make strategic product decisions about where AI adds the most value compared to traditional UX approaches, ensuring a seamless user experience. Drive day-to-day product execution, sprint planning, prioritization, and process improvements using Agile/Scrum methodologies. Conduct customer and market research to identify user needs, industry trends, and opportunities for innovation. Analyze product usage, customer feedback, and performance data to inform roadmap decisions and feature prioritization. Take full ownership of roadmap execution, ensuring alignment between business goals, customer needs, and technical feasibility.

🏢 Summary: Senior Technical Product Owner responsible for translating product strategy into actionable backlog and delivering incremental value for technical/platform products. The role focuses on close collaboration with engineering teams working on developer platforms, CI/CD pipelines, observability, and release automation. It requires strong ownership of backlog management and clear definition of user stories within Agile environments. 🗂️ Requirements: Hands-on experience with developer platforms, CI/CD pipelines, observability, and release automation, Experience owning and prioritizing backlog for technical/platform products, Ability to translate product strategy into executable increments, Experience working in large and complex organizational environments, Practical experience in Agile (Scrum), sprint and quarterly planning, Proficiency with Jira and Confluence for backlog management and documentation, Ability to define clear user stories and acceptance criteria, Experience facilitating workshops and translating technical concepts into requirements, Fluent English (min. B2) 📃 Skills: Jira, Confluence, Scrum, CI/CD, Observability, Automation, Agile, English 🏢 Description: More about us Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together! About the role We are seeking an experienced Senior Technical Product Owner to join our team. Key Responsibilities: Translate product strategy into actionable backlog and deliver value incrementally. Define clear user stories and acceptance criteria to enable development. Own and continuously refine the product backlog to maximize delivered value. Requirements: ·       Hands-on experience working with engineering teams on developer platforms, CI/CD pipelines, observability, and release automation. ·       Experience owning and prioritizing a product backlog for technical/platform products, translating product strategy into executable increments. ·       Experience in large and complex organizational environments and communicating information to various stakeholders in a way that is appropriate for the target audience. ·       Experience in Agile methodologies (Scrum), with practical experience in sprint and quarterly planning. · Proficiency with product management and collaboration tools such as Jira and Confluence, ensuring effective backlog management, documentation, and cross-team alignment. ·       Proven ability to define clear user stories, acceptance criteria, and prioritized backlogs for technical product. ·       Experience in facilitating workshops, translating and deriving product requirements from technical concepts for different requirement groups. · Fluent English (spoken and written, at least B2 level). Nice to Have: ·       Broad technical understanding of building and operating the following capabilities in the context of private data centre and public cloud hosting: o   Container run-time platforms such as Kubernetes, o   Identity & Access Management (IAM) and Role-Based Access Control (RBAC), o   CI / CD toolchain components, o   Observability / Monitoring. Perks and benefits: Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers. Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location. Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more. Global collaboration - work with a diverse, international team. Innovative environment - be part of a forward-thinking and growth-oriented workplace. Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work. Team-building events including our company tradition (annual company event in Mazury ). A pleasant surprise to start your journey with us in the form of a welcome pack. Recruitment process: HR call Technical Interview Interview with the dedicated Client Final decision/ Feedback Sounds interesting? Click "Apply" and have a chance to hear more!

🏢 Summary: Lead a large-scale enterprise integration project, coordinating cross-functional technical and business teams in a highly governed and secure environment. The role focuses on managing complex system dependencies, high-level architecture discussions, and end-to-end delivery within enterprise standards. 🗂️ Requirements: Several years of experience as Project Manager in integration or infrastructure projects, Experience in enterprise environment (banking, insurance or similar), Strong understanding of high-level architecture and system integrations, Experience with API integrations, Experience with asynchronous communication, Experience with event-driven architecture, Experience working with architects, vendors and technical teams, Experience with governance and architectural or investment committees, Ability to lead high-level technical discussions with international stakeholders, English proficiency B2/C1 📃 Skills: API, Integration, Architecture, EventDriven, Asynchronous, Infrastructure, Governance, Enterprise, Security 🏢 Description: Opis projektu: Szukamy doświadczonego Technical Project Managera, który poprowadzi strategiczny projekt integracyjny w dużym środowisku enterprise. Rola dla osoby, która swobodnie porusza się pomiędzy biznesem, architekturą i zespołami technicznymi oraz potrafi zarządzać złożonym delivery w organizacji o wysokim poziomie governance i bezpieczeństwa. Zadania: Prowadzenie dużego projektu integracyjnego w środowisku enterprise. Koordynacja współpracy wielu zespołów technicznych i biznesowych. Zarządzanie zależnościami między systemami i komponentami. Współpraca z architektami, vendorami oraz stakeholderami regionalnymi/globalnymi. Przygotowywanie materiałów na komitety architektoniczne i inwestycyjne. Udział w procesach wyboru dostawców oraz współpraca z partnerami wdrożeniowymi. Zarządzanie ryzykiem, governance oraz komunikacją projektową. Prowadzenie dyskusji technicznych na poziomie high-level. Wymagania: Minimum kilka lat doświadczenia jako Project Manager przy projektach integracyjnych/infrastrukturalnych. Doświadczenie w środowisku enterprise (bankowość, ubezpieczenia lub podobne). Bardzo dobre rozumienie architektury wysokopoziomowej oraz integracji systemowych. Doświadczenie w pracy z API, komunikacją asynchroniczną oraz architekturą event-driven. Umiejętność współpracy z architektami, vendorami i zespołami technicznymi. Doświadczenie z governance, komitetami architektonicznymi lub inwestycyjnymi. Umiejętność prowadzenia rozmów technicznych z międzynarodowymi stakeholderami. Bardzo dobre umiejętności organizacyjne i komunikacyjne. Angielski min. B2/C1. Mile widziane: Znajomość platform ECM/DMS/workflow. Doświadczenie z OpenText, Camunda lub podobnymi rozwiązaniami. Projekty migracyjne lub transformacyjne. Doświadczenie z platformami shared services. Znajomość środowisk korporacyjnych o wysokim poziomie security/governance. Doświadczenie przy integracji wielu zależnych systemów.