At a Glance
- Tasks: Design and deploy autonomous AI agents to automate complex workflows.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Enjoy personal time off, education resources, and career advancement opportunities.
- Other info: Collaborative environment with a focus on real-world impact and growth.
- Why this job: Be a key player in transforming businesses with cutting-edge AI solutions.
- Qualifications: Experience in product management and a passion for AI technology.
The predicted salary is between 60000 - 80000 £ per year.
This role blends strategic business consulting, industry‑specific domain expertise, and deep technical execution utilizing Google Cloud’s Gemini Enterprise Agent Platform (the advanced ecosystem unifying what was previously Vertex AI and enterprise agent tooling).
As an Agentic Consulting Specialist / Product Manager, you will bridge the gap between high-level business strategy and technical implementation. Your primary focus will be designing, building, and deploying autonomous AI Agents that automate complex, multi-step, multi-app workflows. You will serve as the trusted advisor to both C‑suite business stakeholders and IT engineering teams, ensuring that Agentic AI solutions solve real‑world industry pain points.
Key Responsibilities
- AI Product Strategy and Vision (Consulting & Advisory)
- You will drive the adoption of Agentic AI by demonstrating how autonomous agents can shift an organization from reactive software usage to proactive, automated process execution.
- Domain‑Specific Solutioning: Apply deep industry knowledge to pinpoint high‑value automation use cases:
- Financial Services (FS): Automating credit risk reporting, compliance checks, or fraud investigation workflows.
- Retail & Consumer Packaged Goods (RCPG): Real‑time supply chain adjustments, automated inventory routing, or predictive marketing campaign launches.
- Life Sciences & Healthcare (LSH): Accelerating clinical trial documentation search, patient intake routing, or medical literature synthesis.
- Manufacturing & Technology: Email‑based order processing automation, predictive asset maintenance workflows, or software development lifecycle (SDLC) speed‑ups.
- Google Cloud Architecture Alignment: Consult clients on utilizing the Gemini Enterprise Agent Platform to replace traditional, rigid chatbots with dynamic, multi‑agent frameworks.
- Agile Discovery: Facilitate workshops with business and IT stakeholders to evaluate business processes, estimate ROI, and map out the vision for an “agentic taskforce.”
- Product Development and Execution (Product Management)
- You will own the lifecycle of the AI agent from conceptualization to stable production deployment, managing cross‑functional technical teams.
- Roadmap & Backlog Management: Qualify agent use cases based on technical feasibility and business impact. Maintain the product backlog using Agile methodologies.
- Technical & Functional Specifications: Translate complex business rules into concrete logic definitions. You will write specifications outlining:
- Agent Logic and Reasoning: Defining paths using Agent Studio (for low‑code/no‑code workflows) or specifying requirements for the Agent Development Kit (ADK) (for developer code‑first graph‑based sub‑agent networks).
- Data Grounding: Defining how agents safely connect to enterprise data sources (e.g., BigQuery, Google Workspace, or third‑party CRM/ERP systems) using secure connectors.
- Integrations: Utilizing the Agent2Agent (A2A) protocol to ensure a Google agent can seamlessly hand off tasks to partner agents (e.g., Salesforce, Workday, ServiceNow).
- Guardrails & Quality Assurance: Define functional requirements for safety and performance. Work with engineers to utilize Agent Simulation and Agent Evaluation tools to test agents against synthetic user profiles and prevent prompt injection vulnerabilities via Model Armor.
- Stakeholder Alignment and Go‑to‑Market (GTM)
- An agent is only valuable if it is trusted and adopted. You will act as the ultimate product evangelist and governance lead.
- Cross‑Functional Orchestration: Serve as the central hub connecting Engineering, User Experience (UX), Sales, and Marketing teams to ensure a smooth product rollout.
- Deployment and Enterprise Governance: Collaborate with enterprise IT admins to ensure agents are securely deployed into the organization’s Gemini Enterprise app hub. Ensure every custom agent is registered under an Agent Identity and governed via the central Agent Registry.
- Feedback Loops & Iteration: Gather direct user feedback from client teams, analyze Agent Observability traces to see how the agent reasons through its tasks, and continuously refine prompts, tools, and workflows to improve completion rates.
- KPI Tracking: Monitor and present product performance metrics, such as:
- Task Success Rate (percentage of workflows completed without human intervention).
- Time‑to‑Resolution Reduction (e.g., reducing email processing times from hours to real‑time).
- API & Compute Cost Efficiency (tracking vCPU and token spend).
Benefits
- Personal time off
- Maternity and paternity benefits
- Access to skills / higher education programs/resources
- Discounts on products and services via Benefit Box
- Participate in CSR programs and live life with a purpose
- Opportunities to grow and advance your career
Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.
AI Product Manager I employer: HCL Technologies Limited
As an AI Product Manager I at our innovative company, you will thrive in a dynamic work culture that champions collaboration and creativity. We offer exceptional benefits including personal time off, maternity and paternity support, and access to professional development resources, all while working with cutting-edge technology in a location that fosters growth and meaningful impact in various industries. Join us to be part of a forward-thinking team dedicated to transforming business processes through autonomous AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager I
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like HCL Technologies Limited!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at HCL Technologies Limited would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at HCL Technologies Limited through your school's career services!
We think you need these skills to ace AI Product Manager I
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like AI Product Manager I, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the AI Product Manager I position at HCL Technologies Limited. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at HCL Technologies Limited
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
