IT Product Owner — Agentic (SF1)

🏢 Summary: The offer is for a Salesforce Developer focused on building and customizing Agentforce and Einstein Copilot solutions for Sales and Finance workflows. The role involves developing Apex and LWC components, integrating Salesforce with enterprise systems, and managing testing, deployments, and post-go-live monitoring. It requires hands-on delivery experience and strong knowledge of Salesforce data models. 🗂️ Requirements: 3–5 years of Salesforce development experience, At least one Agentforce or Einstein Copilot production implementation, Strong knowledge of Sales Cloud data model, Strong knowledge of Service Cloud data model, Experience developing Apex triggers and batch jobs, Experience building Lightning Web Components, Experience integrating Salesforce with external systems via APIs, Experience with testing, QA, and UAT processes, Experience managing deployments and sandbox environments, Understanding of Salesforce security best practices 📃 Skills: Salesforce, Agentforce, Einstein, Apex, LWC, REST, API, ERP, QA, UAT, TDD, SalesCloud, ServiceCloud 🏢 Description: Responsibilities Build Salesforce Agentforce configurations and Einstein Copilot customizations for Sales and Finance workflows. Develop custom components, triggers, and batch jobs using Apex and LWC. Connect agents to enterprise systems like ERP, HR, and Finance backends via REST APIs or integration fabrics. Execute QA, test-driven development, regression suites, and UAT coordination. Manage deployment lifecycles, sandbox strategies, and post-go-live monitoring. Apply security best practices and configure agent performance monitoring. Requirements 3–5 years of Salesforce development experience. At least one Agentforce or Einstein Copilot production delivery is required. Deep understanding of Sales Cloud and Service Cloud data models. Collaborative mindset to work closely with business process owners for scenario validation. Highly adaptable under delivery pressure without over-engineering initial solutions. Offer Our client offers a fast-paced and energetic environment where your unique skillset will be nurtured. You will find real connections, continuous opportunities to grow, and a supportive team that celebrates success together. If you are ready to drive meaningful change and shape the future of the industry, apply today!

🏢 Summary: Full-time remote B2B contract for an IT Product Owner within the Salesforce (SF1) ecosystem in retail media, focused on optimizing Sales and Finance productivity through Agentforce and AI features. The role involves managing product backlogs, governing sprints, defining adoption KPIs, and coordinating cross-team dependencies. The assignment runs until the end of 2026 with possible extensions. 🗂️ Requirements: 3–5 years of IT Product Owner experience in Salesforce ecosystem, Experience with Agentforce product management, Backlog management and sprint governance experience, Use case scoping and sizing experience, Adoption KPI definition and tracking, Dependency management with cross-functional teams, Experience supporting change management for product releases, Proficiency in English 📃 Skills: Salesforce, SF1, Agentforce, SalesCloud, ServiceCloud, AI, Scrum, KPIs, Backlog, Governance, Reporting, BPO 🏢 Description: Work mode: remotely Assignment type : B2B Contract length – until the end of 2026 + prolongations Start – ASAP Language – English Industry - retail media Workload : Full time Work using your own equipment . Summary: The IT Product Owner plays a pivotal role in optimizing user productivity within the SF1 framework by managing product backlogs, ensuring effective sprint governance, and facilitating the adoption of AI features across Sales and Finance operations. Responsibilities: Manage product backlog including sprint governance, acceptance criteria, and definitions across Sales and Finance agent use cases. Demonstrate familiarity with SF1 platform including Sales Cloud, Service Cloud, and Agentforce configuration. Scope and size use cases; transform friction points into actionable agent stories. Define and track adoption KPIs such as activation rates and error reduction, reporting metrics to V-Team Lead. Coordinate with BPO counterparts and development teams to manage dependencies effectively. Support change management by collaborating on user communication and training for agent releases. Maintain awareness of the Agentforce roadmap to identify relevant platform releases for SF1 productivity. Key Requirements: Experience in IT product ownership within Salesforce ecosystem (3-5 years). Strong understanding of Agentforce product management including backlog management and sprint governance. Use case scoping & sizing experience. Proficiency in English. Adoption measurement — defines adoption KPIs (activation rate, time-saved, error reduction); tracks metrics and reports to V-Team Lead Dependency management — coordinates with BPO counterparts, IIT shared platform team, and Agentforce Developer on delivery sequencing. Change management support — collaborates with BPO profiles on user communication, training design and launch readiness for each agent release. Agentforce roadmap awareness — stays current on platform releases; identifies upcoming capabilities relevant to SF1 productivity use cases Nice to Have: Experience with AI and agent features. Strong skills in user empathy and communication with Sales and Finance teams. Proficiency in French.

🏢 Summary: The role focuses on optimizing Sales operations by defining user stories, validating agent workflows, and enhancing Salesforce-based processes to improve productivity and deal velocity. You will collaborate with sales teams to drive adoption, track performance metrics, and prioritize high-impact workflow improvements. 🗂️ Requirements: 5+ years of experience in Sales Operations or BizOps, Experience with Salesforce CRM, Expertise in pipeline management, Expertise in sales forecasting, Experience with Sales Cloud workflows, Ability to drive adoption among field sales teams 📃 Skills: Salesforce, SalesforceSalesCloud, CRM, PipelineManagement, Forecasting, UAT, SalesOperations, BizOps 🏢 Description: Responsibilities Specify Sales user stories and define precise acceptance criteria. Validate agent behavior in UAT sessions alongside field sales participants. Map current and future-state Sales processes to create enablement and training materials. Track feature usage, deal velocity, and representative productivity metrics post-deployment. Maintain alignment with sales leadership regarding priorities and business constraints. Evaluate where agent workflows address friction better than competitive tools. Requirements 5+ years of experience in Sales operations or BizOps. Salesforce CRM experience is a baseline requirement. Deep expertise in pipeline management, forecasting, and Sales Cloud workflows. Ability to influence field sales teams and drive adoption without direct mandate. Pragmatic approach to scoping, focusing first on high-value workflows over complexity. Offer Our client offers a fast-paced and energetic environment where your unique skillset will be nurtured. You will find real connections, continuous opportunities to grow, and a supportive team that celebrates success together. If you are ready to drive meaningful change and shape the future of the industry, apply today!

🏢 Summary: IT Program Manager role focused on governing Salesforce or enterprise platform delivery across multiple workstreams and vendors. The position drives Agile ceremonies, portfolio tracking, risk management, and executive reporting while overseeing budget and contractor allocation. It emphasizes structured governance, KPI monitoring, and cross-team coordination to ensure successful program execution. 🗂️ Requirements: 3+ years IT program management experience on Salesforce or enterprise platform delivery, Proficiency with Jira and Confluence or equivalent tools, Experience coordinating multi-vendor teams simultaneously, Experience facilitating Agile governance and sprint ceremonies, Experience managing RAID logs, dependencies, and milestones, Experience tracking budgets and contractor allocation 📃 Skills: Salesforce, Jira, Confluence, Agile, RAID, KPI, Governance, Budgeting, DependencyMapping, Milestones, Vendors, Velocity, CapacityPlanning, Reporting, Enterprise 🏢 Description: Responsibilities Track portfolio and programs, including RAID log, dependency mapping, and milestone management across workstreams and vendors. Facilitate Agile governance, including sprint ceremonies, velocity tracking, and capacity planning. Provide executive-ready status reporting, KPI tracking, and budget vs actuals synthesis. Define and apply delivery standards and contribute to program governance frameworks. Design proactive escalation paths and manage risks and issues across IT and business streams. Monitor budget by tracking contractor days consumed versus allocated. Requirements 3+ years of experience in IT program management on Salesforce or enterprise platform delivery. Proficiency in tooling such as Jira, Confluence, or equivalent. Assertive approach to enforcing governance standards without blocking delivery. Experience coordinating multi-vendor teams simultaneously. Bilingual proficiency (FR/EN) is considered a plus. Offer Our client offers a fast-paced and energetic environment where your unique skillset will be nurtured. You will find real connections, continuous opportunities to grow, and a supportive team that celebrates success together. If you are ready to drive meaningful change and shape the future of the industry, apply today!

🏢 Summary: The role focuses on optimizing and managing Order-to-Cash (O2C) processes within a Salesforce-enabled environment, including process mapping, user story creation, UAT leadership, and compliance with audit and SOX controls. It involves driving automation adoption, ensuring proper governance, and supporting finance teams through training and change management. The position requires strong finance operations expertise combined with platform literacy and process improvement skills. 🗂️ Requirements: 5+ years of Finance operations experience, Hands-on experience with Order-to-Cash processes, Experience working in a Salesforce-enabled environment, Ability to design and execute UAT scenarios, Knowledge of audit trails, segregation of duties, and SOX controls, Experience writing Finance user stories, Ability to track and analyze adoption KPIs 📃 Skills: Salesforce, O2C, UAT, SOX, KPIs, Automation, Finance, ProcessMapping, UserStories 🏢 Description: Responsibilities Map out detailed current and future-state Order-to-Cash processes. Write Finance user stories with clear context and prioritize based on business value and friction points. Design test scenarios, lead UAT sign-off sessions, and document expected behaviors. Ensure platform automations respect audit trails, segregation of duties, and SOX controls. Measure and track adoption KPIs such as activation rates and processing times. Provide necessary materials to train agents and onboard users. Requirements 5+ years of experience in Finance operations with an Order-to-Cash (O2C) focus. Prior experience in a Salesforce-enabled environment is preferred. Salesforce platform literacy to evaluate agent-assisted automations. Autonomous, structured approach to managing workloads. Proven ability to act as a change champion and overcome user resistance. Offer Our client offers a fast-paced and energetic environment where your unique skillset will be nurtured. You will find real connections, continuous opportunities to grow, and a supportive team that celebrates success together. If you are ready to drive meaningful change and shape the future of the industry, apply today!

🏢 Summary: The offer is for a Salesforce Platform specialist responsible for administering and optimizing the Salesforce environment, with a focus on Media Cloud configuration and platform migrations. The role involves managing releases, CI/CD governance, and ensuring system stability through structured migration and testing practices. It requires hands-on technical expertise to maintain org health, reduce technical debt, and support cross-cloud dependencies. 🗂️ Requirements: 4+ years of Salesforce platform experience, Experience with Media Cloud or Revenue Cloud, Proven platform migration experience, Ability to manage CI/CD processes and release governance, Knowledge of cross-cloud dependency management, Experience with regression testing and cutover planning 📃 Skills: Salesforce, MediaCloud, RevenueCloud, CI/CD, Metadata, Migration, RegressionTesting, OrderManagement, Billing, Git 🏢 Description: Responsibilities Administer the Salesforce Platform, managing metadata, permission sets, and org hygiene. Configure Media Cloud elements such as product catalogues, order management, and billing. Execute platform migration patterns, cutover planning, and post-migration regression testing. Manage releases, CI/CD pipeline governance, and sandbox refresh strategies. Identify and remediate technical debt blocking platform features. Maintain thorough documentation and migration runbooks. Requirements 4+ years of Salesforce platform experience. Exposure to Media Cloud or Revenue Cloud is strongly preferred. Prior platform migration experience is a key differentiator. Reliable, structured delivery approach with a strong awareness of cross-cloud dependency risks. Offer Our client offers a fast-paced and energetic environment where your unique skillset will be nurtured. You will find real connections, continuous opportunities to grow, and a supportive team that celebrates success together. If you are ready to drive meaningful change and shape the future of the industry, apply today!

🏢 Summary: The role focuses on configuring and optimizing Salesforce Marketing Cloud Next to deliver personalized, data-driven customer journeys at scale. It involves building automated flows, integrating data signals, and ensuring deliverability, tracking, and ROI measurement frameworks. The position requires strong hands-on experience in Marketing Cloud engineering and Data Cloud activation. 🗂️ Requirements: 4–6 years of Marketing Cloud engineering experience, Hands-on experience with Data Cloud activation, Ability to configure Journey Builder and Automation Studio, Experience implementing dynamic content with AMPscript or SSJS, Experience designing tracking events and attribution data structures, Knowledge of deliverability management and GDPR configurations, Proactive monitoring of send metrics and campaign performance 📃 Skills: MarketingCloud, MCNext, MCAE, DataCloud, JourneyBuilder, AutomationStudio, AMPscript, SSJS, GDPR, A/BTesting 🏢 Description: Responsibilities Configure the Marketing Cloud Next platform, including Journey Builder and Automation Studio. Implement email personalization at scale using dynamic content and AMPscript/SSJS logic. Design and build agent-triggered journey entry points integrating platform signals. Configure tracking events and build attribution-ready data structures for ROI dashboards. Architect onboarding and re-engagement flows, including suppression logic and A/B frameworks. Manage sender deliverability, reputation, and GDPR-aware configurations. Requirements 4–6 years of experience in Marketing Cloud engineering. Hands-on Data Cloud activation experience is required. MC Next or MCAE certification is preferred. Ability to bridge marketing intent with technical configuration and measurement frameworks. Proactive monitoring of send metrics and campaign performance. Offer Our client offers a fast-paced and energetic environment where your unique skillset will be nurtured. You will find real connections, continuous opportunities to grow, and a supportive team that celebrates success together. If you are ready to drive meaningful change and shape the future of the industry, apply today!

🏢 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: 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.

🏢 Summary: The role focuses on designing, developing, and deploying AI agents to automate business processes using Microsoft Power Platform tools. It involves building compliant, secure, and well-documented AI solutions while collaborating in an Agile environment. The position emphasizes continuous improvement, integration with existing systems, and adherence to ethical AI standards. 🗂️ Requirements: Proven experience in a similar AI engineering role, Experience in AI agents or chatbot development, Hands-on experience with Microsoft Copilot Studio or similar platforms, Technical knowledge of cloud platforms, Experience working with APIs, Understanding of ethical AI principles, Fluency in English 📃 Skills: AI, Chatbots, Copilot, PowerPlatform, Cloud, APIs, Security, Compliance, Agile, Documentation 🏢 Description: Summary The AI Agent Engineer will be pivotal in developing AI agents and automation solutions aimed at enhancing business processes within an agile framewor. This role focuses on leveraging Microsoft Power Platform tools to deliver compliant, efficient, and well-documented AI solutions. Main Responsibilities: Design, Develop, and Deploy AI Agents: Architect, build, and maintain intelligent agent solutions to automate business processes, improving user experiences. Leverage Microsoft Copilot Studio: Utilize Microsoft Copilot Studio to create, customize, and optimize AI agents, ensuring seamless integration with existing systems. Collaborate Across Teams: Work closely with business stakeholders, product owners, and technology teams to gather requirements and deliver robust AI-driven solutions. Continuous Improvement: Monitor agent performance, collect user feedback, and implement enhancements for accuracy and user satisfaction. Ensure Compliance and Security: Adhere to data privacy, security, and compliance standards throughout the AI agent lifecycle. Documentation and Knowledge Sharing: Produce clear technical documentation and best practices to support adoption and maintenance. Stay Current: Keep updated with advancements in AI and recommend new tools and approaches as appropriate. Key Requirements: Proven track record in a similar role. Experience in AI agents or chatbot development. Hands-on expertise with Microsoft Copilot Studio or similar platforms. Fluency in English with strong communication skills. Understanding of ethical AI principles. Technical knowledge of cloud platforms and APIs. Nice to Have: Experience with programming languages like Python, C#, or JavaScript Knowledge of automated testing frameworks Experience in Agile teams