Ai product manager i Work, Jobs (with Salaries)

AI Product Manager I
HCLTech —London
- Sales
- APIs
3h
AI Product Manager
UniHomes —Sheffield
- £65,000 - £80,000 a year
- Full-time
- Salesforce
- AI
- Employee discount
- Referral programme
Quick apply
AI Product Manager
Intent HQ —London
- Hybrid work
- Master's degree
- IT
- Employee assistance programme
- Gym membership
Quick apply
5d
AI Product Manager
BGBx —Sheffield
- £50,000 - £60,000 a year
- Remote
- Master's degree
- Product management
- Agile
- Annual leave
- Life insurance
Quick apply
8d
AI Product Manager (100% Remote)
Tether Operations Limited —London
- Full-time
- Remote
- Azure
- Engineering
- English
Staff Product Manager - AI - 100% Remote - EMEA
Hostaway —London
- Full-time
- Remote
- Bachelor's degree
- Product management
- AI
- Annual leave
Quick apply
AI Product Manager, London
Air Apps —London
- £58,000 - £73,000 a year
- Full-time
- Analysis skills
- Machine learning
- Product management
- Life insurance
AI Product Manager
NICE —Southampton
- Hybrid work
- Computer Science
- Bachelor's degree
- Machine learning
Quick apply
18h
Product Owner - AI Trainer - Freelance - 8-20hrs/week - Remote
10x Team —London
- £83 - £140 an hour
- Remote
- Product management
- AI
Quick apply
AI Platform Product Manager - Private Markets
MSCI —London
- Full-time
- Data analysis skills
- Master's degree
- Bachelor's degree
AI Product Manager
FE fundinfo —London
- Full-time
- Hybrid work
- Product management
- Agile
- AI
- Annual leave
Quick apply
Senior Product Manager - Platform, Interoperability & AI
Reset Health —London
- £80,000 a year
- Full-time
- Hybrid work
- Engineering
- Bachelor's degree
- Product management
Quick apply
Product Manager – Generative AI Solutions
NASDAQ —London
- Full-time
- English
- Master's degree
- SQL
Senior Product Manager, AI Platform Management
GitLab —Remote
- Full-time
- Remote
- Product management
- Software development
- AI
- Employee stock purchase plan
- Annual leave
AI-Enabled Product Manager
Future Works —London
- Remote
- Google Suite
- Analysis skills
- Machine learning
AI Product Manager
Marks & Spencer —London
- Full-time
- Hybrid work
- In-person
- Employee discount
Staff AI Product Manager
Intercom —London
- Hybrid work
- In-person
- AI
- Communication skills
- Annual leave
- Work from home
AI Solutions Product Manager
Mace —London
- Full-time
- Hybrid work
- APIs
- AI
- Communication skills
Sr. Product Manager (Remote - UK)
Tealium —Remote
- £80,000 - £100,000 a year
- Full-time
- Remote
- Sales
- English
- Financial services
- Annual leave
Senior Product Manager, AI
LSEG (London Stock Exchange Group) —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree

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AI Product Manager I

HCLTech -
London

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Job details

3 hours ago

Qualifications

Cloud architecture
Sales
UX
APIs
ServiceNow
Workday

Full job description

City Of London, England
Job Summary

Agentic Consulting: Gemini Enterprise .

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).

Position Overview

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

1. 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."

2. 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

Skill Requirements

3. 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).

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