At a Glance
- Tasks: Lead product strategies for AI-driven features and data orchestration.
- Company: Join a market-leading tech company in London with a hybrid work model.
- Benefits: Competitive salary, 25 days annual leave, and matched pension contributions.
- Other info: Dynamic environment with opportunities for career growth and development.
- Why this job: Shape the future of AI and data innovation while making a real impact.
- Qualifications: Experience in product management and integrating AI/ML models.
The predicted salary is between 36000 - 60000 € per year.
Overview
Vacancy Name: Product Manager - Data and AI Innovation (Air Platform)
Vacancy Reference: VN2875
Location: United Kingdom – London (Hybrid, 3 days in office)
Description: Product Manager - Data and AI Innovation (Air Platform) with a focus on data orchestration and AI-driven user experiences. Location: London (Hybrid, 3 days in office). Salary: Competitive + excellent benefits.
Responsibilities
You will be responsible for defining and executing product strategies that leverage data, AI agents, and LLMs to create adaptive, intelligent features. You\\\'ll work closely with engineering, data science, and GTM teams to ensure innovations are technically feasible and commercially impactful.
- Define and lead the strategy for data-centric and AI-enabled enhancements.
- Engage directly with clients to understand their needs, gather insights, and validate product concepts.
- Conduct market research and competitive analysis to identify opportunities for innovation using AI and by adapting the data strategy.
- Lead the product lifecycle from ideation and proof of concept to launch and continuous improvement.
- Partner with data scientists, engineers, and AI specialists to integrate LLMs, MCP, and autonomous agents into products.
- Collaborate with marketing and GTM teams to develop positioning, messaging, and launch strategies that resonate with target audiences.
- Define and track success metrics and ROI for AI-driven features and innovations.
- Communicate product vision, roadmap, and outcomes effectively to internal teams, leadership, and clients.
Product Ownership & Strategic Outcomes
You will be responsible for defining and delivering high-impact capabilities across the following areas:
- AI-Driven Workflow Automation: Own the design and delivery of features that use LLMs and autonomous agents to streamline client operations and reduce manual effort.
- Data Intelligence Layer: Enhance data ingress and egress, enrichment, and contextualization using AI to improve decision-making and operational efficiency.
- Client-Facing Interfaces: Develop intelligent UI/UX components powered by conversational agents and adaptive logic to improve usability and engagement.
- Insight & Analytics Modules: Deliver predictive insights, anomaly detection, and performance metrics that help clients act with confidence.
- Model Context Protocol (MCP) Integration: Lead the orchestration of AI workflows across product modules to ensure scalable, context-aware intelligence.
Expected Deliverables & Impact
- Launch of AI-enabled features with measurable improvements in client efficiency, accuracy, and satisfaction.
- Increased product adoption and engagement through intelligent automation and personalization.
- Documented ROI for AI initiatives (e.g., time saved, cost reduction, improved accuracy).
- Validated product concepts through client feedback, prototypes, and pilots.
- Clear product roadmaps and release plans aligned with strategic goals.
- GTM collateral and positioning that clearly communicates the value of AI-driven capabilities.
Key Skills
- Strong understanding of data architecture, analytics, and governance principles.
- Familiarity with Model Context Protocol (MCP) and its role in orchestrating AI workflows.
- Ability to articulate the impact of innovation on business performance (e.g., KPIs, ROI).
- Familiarity with financial services or other regulated industries.
- Excellent communication and stakeholder management skills.
- Proficiency with Agile methodologies and product management tools (e.g., Jira, Confluence).
Desirable Skills
- Experience with cloud platforms and data technologies (e.g., SQL, NoSQL, data lakes).
- Knowledge of AI/ML frameworks and orchestration tools for LLMs and agents.
- Background in data processing and/or reconciliation products and working knowledge of financial services domains a significant advantage.
Qualifications
Experience
- Experience as a Product Manager with a focus on data-driven products.
- Practical experience integrating AI/ML models, LLMs, and agent-based systems into products, with demonstrable business value realised.
- Experience in client-facing roles, including gathering insights and presenting solutions.
Employment Type
Permanent
Benefits
- Competitive salary
- The opportunity to work in a growing and market leading organisation
- 25 days annual leave (increasing with service to 28 days)
- Company pension scheme - contributions matched up to 5%
- Group life assurance
Equality Statement
SmartStream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.
Product Manager - Data and AI Innovation (Air Platform) employer: SmartStream
At SmartStream, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Product Manager in our London office, you'll enjoy competitive salaries, generous annual leave, and a commitment to your professional growth through continuous learning opportunities. Our hybrid work model ensures a balanced approach to work-life integration, while our focus on cutting-edge data and AI technologies positions you at the forefront of industry advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager - Data and AI Innovation (Air Platform)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to product management and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your passion for data and AI during interviews. Share specific examples of how you've used these technologies in past projects. This will help you stand out as a candidate who truly gets it!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Product Manager - Data and AI Innovation (Air Platform)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Product Manager role. Highlight your experience with data orchestration, AI-driven projects, and any relevant tools like Jira or Confluence.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and AI innovation. Share specific examples of how you've driven product success in the past.
Showcase Your Communication Skills:As a Product Manager, you'll need to communicate effectively with various teams. In your application, demonstrate your ability to articulate complex ideas clearly and concisely, especially around AI and data strategies.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at SmartStream
✨Know Your Product Inside Out
Before the interview, dive deep into the company's products, especially those related to data orchestration and AI. Understand their features, benefits, and how they stand out in the market. This will help you articulate your thoughts on product strategy and innovation during the discussion.
✨Showcase Your Data Savvy
Be prepared to discuss your experience with data architecture and analytics. Bring examples of how you've used data-driven insights to enhance product features or improve user experiences. This will demonstrate your ability to lead data-centric enhancements effectively.
✨Engage with Real Client Scenarios
Think of specific client interactions where you gathered insights or validated product concepts. Share these stories to illustrate your client-facing experience and how it has shaped your approach to product management. This will highlight your understanding of user needs and market demands.
✨Communicate Clearly and Confidently
Practice articulating your product vision and roadmap clearly. Use metrics and ROI examples from your past work to back up your claims. Strong communication skills are crucial for this role, so ensure you can convey complex ideas simply and effectively.
