Technical Product Manager with SAP AND AI

🏢 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 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: 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: Technical Project Manager / Feature Owner responsible for end-to-end delivery of product features, translating business needs into actionable technical plans and driving execution with engineering teams. The role combines hands-on technical understanding with sprint management and stakeholder communication. Involves close collaboration with engineers and optional AI/ML integration within the product ecosystem. 🗂️ Requirements: Proven experience in software development environments, Ability to discuss APIs, system architecture, and databases, Experience as Engineering Manager, Team Lead, or Senior Developer, Experience translating business requirements into technical specifications, Experience managing sprints and mitigating technical risks, Strong technical stakeholder communication skills, Degree in Computer Science, Engineering, or related field 📃 Skills: APIs, Architecture, Databases, Agile, Scrum, AI, ML, Roadmapping, Sprints, Backlog, SQL, REST 🏢 Description: The Role We are looking for a Technical Project Manager who acts as a bridge between high-level business strategy and hands-on engineering execution. This isn't a "spreadsheet-only" PM role. We need a Feature Owner —someone who understands the "how" as much as the "what." Whether you are a former Software Engineer looking to pivot into leadership, or an Engineering Manager who misses the thrill of driving technical delivery without the burden of people management, this role is for you. Key Responsibilities Feature Ownership: Take full end-to-end responsibility for specific product features, from initial technical grooming to production release. Technical Roadmap: Translate business requirements into clear, actionable technical specifications for the development team. Bridge the Gap: Act as the primary translator between stakeholders and engineers, ensuring technical constraints are understood and business value is delivered. Delivery Excellence: Manage sprints, mitigate technical risks, and remove blockers to keep the development velocity high. AI/ML Integration (Nice to Have): Collaborate with Data Scientists and ML Engineers to integrate machine learning models into the core product ecosystem. What You Bring (Requirements) Software Background: Proven experience working directly within software development environments. You should be comfortable talking about APIs, system architecture, and databases. "Builder" Mindset: Experience (even "light") as an Engineering Manager, Team Lead, or Senior Developer who has a natural talent for project coordination. Pragmatism: Ability to balance technical debt with the need for rapid feature delivery. Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders. Education: Degree in Computer Science, Engineering, or a related technical field is preferred. Bonus Points Hands-on experience or a strong theoretical understanding of Machine Learning (ML) workflows. Experience with Agile/Scrum methodologies in a fast-paced startup or scale-up environment.

🏢 Summary: Lead the design and implementation of a comprehensive QA and performance testing strategy for enterprise AI and LLM solutions, ensuring reliability, compliance, and scalability of complex AI agent workflows. The role focuses on AI model evaluation, automated performance engineering, and CI/CD quality gate integration. You will oversee end-to-end testing architecture across functional, non-functional, and AI-specific validation domains. 🗂️ Requirements: 10+ years of enterprise QA leadership experience, Experience designing functional, non-functional, and performance test architectures, Hands-on experience with AI/LLM evaluation metrics (BLEU, ROUGE, perplexity), Experience implementing load, stress, and chaos testing frameworks, Experience building CI/CD test pipelines in Azure DevOps or GitHub Actions, Experience with automated API testing using Pytest or Postman, Experience validating multi-step AI agent workflows, Knowledge of ML/LLM lifecycle and model promotion pipelines, Experience with data lineage and governance tools (Purview or Unity Catalog), Experience with synthetic data generation and dataset versioning, Experience working in regulated industries with compliance requirements 📃 Skills: AI, LLM, BLEU, ROUGE, Perplexity, Pytest, Postman, Azure, GitHub, CI/CD, Purview, Unity, Python, API, Chaos, LoadTesting, StressTesting, SyntheticData, ML, DevOps 🏢 Description: QA & Performance Engineering Lead (AI/LLM Focus) The Role We are seeking a high-caliber QA and Performance Engineering Lead to spearhead the testing strategy for enterprise-grade AI and LLM solutions. In this role, you will define the architecture for functional, non-functional, and performance testing, ensuring that complex AI agent workflows and large-scale applications meet the highest standards of reliability and compliance. You will act as a bridge between traditional QA excellence and the cutting-edge requirements of GenAI evaluation. Core Responsibilities & Technical Expertise Strategic QA Leadership: Leverage 10+ years of experience leading enterprise-wide testing initiatives within Fortune 500 environments to design comprehensive QA architectures. AI/LLM Specialized Evaluation: Implement advanced metrics for model assessment, including BLEU, ROUGE, perplexity , and specialized scoring for hallucination and grounding rates . Performance & Resilience Engineering: Build frameworks for load, stress, and chaos testing to ensure system stability under extreme conditions and peak workloads. Automation & Orchestration: Engineer robust CI/CD test pipelines using Azure DevOps or GitHub Actions , focusing on automated API testing (Pytest/Postman) and integrated test harnesses. Agentic Workflow Validation: Design testing strategies for multi-step AI agents , covering tool chaining, orchestration, and context injection accuracy. Data Governance & Compliance: Apply deep knowledge of data lineage (Purview/Unity Catalog) and maintain strict traceability and auditability standards required in regulated industries. Lifecycle Management: Oversee model release gates, registry promotions, and the management of synthetic datasets and versioning. Key Deliverables Unified Testing Framework: A standardized taxonomy and coverage model spanning unit, integration, E2E, and AI agent workflows. AI Evaluation Suite: A comprehensive suite for validating model consistency, toxicity, and correctness , supported by Proof-of-Concept (PoC) validations. Automated Performance Harness: Scalable workload models designed for peak-load scenarios and resiliency benchmarking. Smart Quality Gates: Automated pass/fail scoring mechanisms embedded directly into release pipelines across all quality dimensions. Advanced Observability: Implementation of "Golden Dashboards" tracking real-time metrics such as latency-per-thought, grounding quality, and functional pass rates. Professional Profile Expertise in Enterprise QA Architecture (Functional + Non-functional + Performance). Deep understanding of ML/LLM lifecycle and model promotion pipelines. Strong background in Regulated Industries (ensuring compliance and audit readiness). Hands-on experience with Synthetic Data generation and dataset versioning.

🏢 Summary: Opportunity to lead the development and delivery of AI-powered products, including an embedded AI assistant, document intelligence, and AI-driven dashboards. The role focuses on building and scaling LLM-based features in production, ensuring quality, reliability, and strong product strategy. You will own the AI product roadmap and collaborate cross-functionally to ship robust enterprise AI solutions. 🗂️ Requirements: Experience building and shipping AI/LLM-based products in production, Understanding of embeddings, document retrieval, evals, tool calling, MCP, Knowledge of AI product limitations and reliability considerations, Experience owning product roadmap and execution, Understanding of Agile/Scrum methodologies, Experience with Jira or similar project management tools, Strong analytical and problem-solving skills, Bachelor’s degree in Economics, Business, Computer Science or related field 📃 Skills: LLM, Embeddings, Retrieval, Evals, ToolCalling, MCP, Agile, Scrum, Jira, Analytics 🏢 Description: AI Product Manager Salary: $4,500 - $5,500 USD / month Contract Type: B2B or Employment Contract (UoP) Location: Warsaw (City Center) Work Model: Hybrid (3 days in the office, 2 days remote) Overview Our client is an AI-native enterprise solutions company with purpose-built technology for public & private companies, governments, institutions, asset managers, and family offices. With headquarters in New York City and four global offices, they are supported by more than 300 engineers and delivery professionals across the globe. By centralizing and unifying data, automating workflows, and surfacing predictive insights, our client enables organizations to scale operational excellence and generate alpha across complex enterprise environments. The Opportunity We are hiring an AI Product Manager on behalf of our client to lead their AI product stream, including an embedded AI assistant, document intelligence, and AI-powered dashboards and reporting. We need a PM who understands how LLM products work in production, including embeddings, document retrieval, evals, tool/function calling, MCP, orchestration, and reliability. Responsibilities and Duties Product Vision/Roadmapping for AI-powered experiences across the platform. Manage the end-to-end product lifecycle, from concept to release. Cross-Functional Collaboration - Work with stakeholders across the company, including engineering, design, QA, and marketing, to manage successful product launches. Production AI Quality & Reliability - Define how AI features should behave in production, including quality standards, evaluation criteria, permissions, latency expectations, and failure states. AI Product Judgment - Make strong product decisions about when to use AI, when to use traditional UX, and how to combine both effectively. Day-to-day Project Management - Support process improvements and the implementation of best practices in product development, including Agile methodologies. Collaborate with team members to ensure efficient and effective product delivery. Product Strategy and Customer Research - Conduct market research to identify customer needs and industry trends. Gather and analyze user data to support product decisions and feature prioritization. Requirements Product management experience building and shipping AI-powered/LLM-based products in production, ideally in data, analytics, automation, or developer/platform environments. Understanding of embeddings, evals, tool calling, MCP, and AI product limitations. Proven ability to drive work forward and truly own the roadmap and execution of their product. Solid understanding of Agile/Scrum methodologies and familiarity with Jira or similar project management tools. Passionate about working closely with engineering/design/QA teams. Strong communication and interpersonal skills, with the ability to convey ideas effectively to technical and non-technical stakeholders across the business. Strong analytical and problem-solving skills, with the ability to articulate and justify product and prioritization decisions clearly and logically. Bachelor's degree in Economics, Business, Computer Science, or a related field.

🏢 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.