AI platforms & Agentic solutions Product Manager - ServiceNow (Global role)
Atos is hiring an AI platforms & Agentic solutions Product Manager - ServiceNow (Global role). Level rates it ; you can apply on Atos.
Level's read on this job
- Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include OpenAI, Anthropic and Gemini.
- Level classifies it as a senior role.
- Level lists 609 other open roles at Atos.
AI in this role
Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.
With more than 54,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.
About Atos Group
Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. €7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.
The Opportunity
We are seeking an exceptional Senior Product Manager – AI Platforms & Agentic Solutions.
This is not a traditional Product Management role.
We are looking for a strategic product leader, innovator, and builder who can identify emerging market opportunities, transform cutting-edge AI capabilities into differentiated products and offerings, and help define the future of ServiceNow-powered enterprise transformation.
You will operate at the intersection of:
- AI & Agentic AI Innovation
- Product Strategy
- Product Engineering
- Enterprise Transformation
- Human-Centered Design
- Value Engineering
- Commercial Growth
Working closely with Engineering, Architecture, Delivery, Sales, Alliances, GTM, and CTO leadership, you will develop market-leading products and solutions that create measurable business outcomes and competitive differentiation.
Your Mission
Lead the strategy, productization, and commercialization of AI-powered products, platforms, accelerators, and industry solutions built on ServiceNow and the broader AI ecosystem.
You will identify opportunities where AI, automation, workflows, data, integrations, and experience design can be combined to create scalable solutions that customers trust, adopt, and derive measurable value from.
You will help create reusable intellectual property that differentiates Atos in the market while accelerating customer outcomes.
Key Responsibilities
Product Vision & Platform Strategy
- Define product vision, strategy, and roadmap for AI-powered offerings and platform capabilities.
- Identify emerging market opportunities and convert them into commercially viable products.
- Develop industry-specific solutions and reusable intellectual property.
- Drive prioritization and investment decisions based on customer value, market opportunity, and business impact.
- Think in terms of platforms, ecosystems, and reusable capabilities rather than individual features.
- Balance near-term customer outcomes with long-term platform differentiation.
AI Innovation & Product Engineering
- Stay at the forefront of Generative AI, Agentic AI, autonomous agents, enterprise copilots, intelligent automation, and multi-agent systems.
- Rapidly validate ideas through experimentation, prototyping, and customer engagement.
- Work closely with engineering teams to assess feasibility, challenge assumptions, and accelerate innovation.
- Translate emerging AI capabilities into enterprise-grade products and services.
- Help shape platform capabilities around orchestration, memory, context management, governance, integrations, and autonomous execution.
Product & Offering Development
- Develop solution blueprints, accelerators, frameworks, reference architectures, and reusable assets.
- Productize innovation into repeatable offerings that deliver measurable outcomes.
- Establish standards for scalability, governance, security, and value realization.
- Continuously evolve products based on market feedback, adoption patterns, and technology trends.
Commercial Success & Value Creation
- Partner with Sales, GTM, Alliances, and Delivery teams to develop business cases, value propositions, demonstrations, and sales assets.
- Support strategic pursuits, executive workshops, solution shaping, and customer engagements.
- Create compelling narratives that connect innovation to measurable business outcomes.
- Contribute to thought leadership and industry positioning.
Human-Centered Innovation
- Champion consumer-grade enterprise experiences and human-centered design principles.
- Ensure solutions balance automation, intelligence, trust, usability, and adoption.
- Place customer outcomes and business value at the center of product decisions.
ServiceNow AI Platform & Ecosystem Expertise
The ideal candidate should possess a strong understanding of the evolving ServiceNow AI Platform and broader enterprise AI ecosystem, with the ability to identify, shape, and commercialize opportunities across AI-powered workflows, autonomous operations, and intelligent enterprise experiences.
This includes familiarity with:
- Generative AI, Agentic AI, and Autonomous Workforce capabilities.
- The ServiceNow AI ecosystem, including Otto, EmployeeWorks, Now Assist, AI Agents, AI Agent Studio, AI Agent Fabric, AI Control Tower, and many future platform innovations.
- Conversational AI, Physical AI, enterprise search, workflow orchestration, and intelligent automation.
- Multi-agent architectures, AI governance, observability, and responsible AI.
- Workflow Data Fabric, enterprise data integration, and AI-powered decisioning.
- API-first architectures, ecosystem integrations, and interoperability across ServiceNow, hyperscalers, and leading AI platforms.
We are not looking for candidates who simply understand individual AI features. We are looking for Product Managers who understand how AI, workflows, automation, data, governance, and human-centered experiences come together to create differentiated products and measurable business value.
Data-Driven Product Leadership
Modern Product Managers make evidence-based decisions.
You will define success metrics, establish adoption frameworks, validate product hypotheses, and continuously optimize products through analytics and experimentation.
Core Competencies
- KPI definition & success measurement
- Product analytics & telemetry
- Experimentation & A/B testing
- Funnel and user journey analysis
- Adoption & consumption analytics
- Value engineering & value realization
- Customer outcome measurement
- Business impact analysis
Required Skills & Experience
Strategic Product Leadership
- Product vision and roadmap development
- Platform strategy and ecosystem thinking
- Product portfolio management
- Market analysis and competitive positioning
- Product and offering commercialization
- Product lifecycle management
AI & Technology Leadership
- Strong understanding of ServiceNow and enterprise workflow platforms
- Generative AI, Agentic AI, and intelligent automation
- AI opportunity identification and commercialization
- API strategy and ecosystem integrations
- Enterprise architecture fundamentals
- AI platform ecosystems including Azure AI, OpenAI, Anthropic, Gemini, and emerging technologies
Commercial & Consulting Excellence
- Value-based selling and value engineering
- Business case development
- Solution and offering design
- Executive storytelling and stakeholder engagement
- Go-to-market planning
Enterprise Transformation
- Enterprise workflow design
- Digital transformation programs
- Productization of services and intellectual property
- Security, risk, governance, and compliance awareness
Qualifications
Required
- 8+ years of Product Management, Offering Management, Innovation Leadership, Product Engineering, Solution Strategy, or related experience.
- Proven experience launching and scaling enterprise products and offerings.
- Experience shipping products in complex, fast-moving environments.
- Strong collaboration across Engineering, Design, Delivery, GTM, and business stakeholders.
- Experience with AI-powered products, Agentic AI, intelligent automation, or enterprise AI platforms.
- Ability to create structure in ambiguity and influence without formal authority.
Preferred
- Experience building or launching Agentic AI or multi-agent solutions.
- Hands-on exposure to prompt engineering, AI orchestration, model evaluation, or domain-specific AI solutions.
- Previous experience in software engineering, architecture, or technical product leadership.
- Experience across industries such as Financial Services, Healthcare, Manufacturing, Telecommunications, Energy, or Public Sector.
- Experience in pre-sales, solution architecture, or value consulting roles.
The AI-Native Builder Mindset
We are looking for Product Managers who build, experiment, and learn.
The strongest candidates:
- Actively prototype and validate ideas.
- Use experimentation to de-risk product investments.
- Stay current with frontier AI research, agentic patterns, and emerging technologies.
- Understand orchestrated workflows, agent collaboration, memory, reasoning, and tool usage.
- Translate emerging technology into practical, scalable business capabilities.
- Focus relentlessly on adoption, customer value, and measurable outcomes.
Professional Certifications
ServiceNow Certifications (Highly Desirable)
- ServiceNow Certified System Administrator (CSA)
- ServiceNow Certified Application Developer (CAD)
- ServiceNow AI Certifications
- ServiceNow Architecture Credentials
- Relevant ServiceNow Product Certifications
Additional Product Management Certifications (Preferred)
Foundation
- Professional Scrum Product Owner (PSPO)
- Certified Scrum Product Owner (CSPO)
- SAFe Product Manager
Advanced
- Pragmatic Institute Product Management
- Product School Product Leadership
- AIPMM Certified Product Manager (CPM)
Why Join Us?
The Global ServiceNow CTO & Product Engineering Organization exists to create what does not yet exist.
We are building the next generation of AI-powered products, agentic solutions, industry accelerators, and intelligent enterprise experiences that combine ServiceNow, AI, automation, security, and human-centered design.
This is an opportunity to help shape the future direction of our global ServiceNow business while creating products and offerings that deliver measurable impact for some of the world's largest organizations.
We are not looking for Product Managers who primarily manage backlogs.
We are looking for product leaders, innovators, and builders who can shape markets, create intellectual property, leverage AI to unlock new business value, and define the future of ServiceNow-powered enterprise transformation.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.
How we rate this
AI platforms & Agentic solutions Product Manager - ServiceNow (Global role) at Atos rates 79 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical AI product manager job
- $180k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a workflow you automated with AI tools, end to end.
- How do you decide that one model's output is better than another's for a given task?
- How do you think about the risk of an AI system in this kind of role failing silently?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, AI agents, AI Automation, AI Evaluation, and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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