Senior Product Director (Platform) in London

Senior Product Director (Platform) in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Xceptor

At a Glance

  • Tasks: Lead the transformation of our AI-native data automation platform and drive impactful change.
  • Company: Join a forward-thinking tech company at the forefront of financial services innovation.
  • Benefits: Enjoy flexible working, competitive salary, and generous leave policies including a day off for your birthday.
  • Other info: Collaborative culture with opportunities for professional growth and development.
  • Why this job: Shape the future of AI in financial services and make a real impact on industry transformation.
  • Qualifications: 10+ years in product management with strong AI fluency and platform expertise.

The predicted salary is between 70000 - 90000 £ per year.

We are seeking a Senior Director, Platform in London (hybrid) to lead our platform product organisation through one of the most consequential chapters in Xceptor’s history. This role requires innovative thinking and the ability to deliver impactful change at pace - we are building the next generation of an AI-native data automation platform, transforming a proven financial services data platform into an intelligent, scalable foundation for mission critical operations that matter most.

You will own the platform product strategy end-to-end: driving the migration of our legacy capabilities into our new platform architecture, while simultaneously defining and delivering the AI and ML capabilities that will differentiate Xceptor for years to come. You will work at the intersection of product, engineering, and data science - translating deep domain expertise and proprietary insight into intelligent platform capabilities that no competitor can replicate.

Equally, the platform you build has a direct line to commercial impact. Our solution teams across tax, trading, and financial operations are internal clients of the platform - and the speed, quality, and intelligence of what they can bring to market depends on what you build. You will define the internal service model that governs how platform capabilities are consumed, prioritised, and evolved in response to their needs, creating a tight feedback loop between platform investment and commercial outcomes.

  • Define and own the platform product strategy and roadmap, spanning both the transformation of legacy capabilities and the build-out of next-generation AI and ML functionality.
  • Establish a clear, differentiated vision for how Xceptor’s proprietary data and domain expertise becomes the foundation for intelligent, agentic workflows across trading, tax, and financial operations.
  • Drive 0-to-1 execution on new AI/ML platform capabilities - from concept through to scalable, production-ready product.
  • Continuously evolve the platform strategy in line with advances in AI, changing customer needs, and Xceptor’s expanding market position.
  • Own the product strategy for migrating legacy platform capabilities into Xceptor’s new platform architecture - sequencing, prioritising, and managing the complexity of transformation without disrupting existing customers.
  • Define clear migration paths and deprecation strategies, working closely with engineering to de-risk delivery and maintain platform stability throughout.
  • Embed platform transformation as a first-class product discipline, with the same rigour applied to new capability development.
  • Lead the definition and delivery of Xceptor’s AI and ML platform capabilities - including intelligent data processing, predictive enrichment, agentic workflow automation, and model lifecycle management.
  • Work directly with data science, engineering, and customer-facing teams to identify real enterprise use cases and abstract them into scalable, durable platform patterns.
  • Drive a model-informed product approach - tracking key AI performance metrics (accuracy, latency, model reliability) and using data to continuously improve platform intelligence.
  • Ensure AI capabilities are built with the governance, auditability, and explainability standards required by financial services clients.
  • Own and drive the prioritisation of platform work across teams and domains.
  • Establish and embed effective product operating models and governance for platform delivery in a complex, fast-moving environment.
  • Balance competing demands across product, engineering, and business stakeholders.
  • Partner closely with engineering leadership to ensure alignment on priorities, sequencing, and delivery.
  • Drive coordination across multiple teams and tribes, managing complex cross-functional dependencies.
  • Influence and align senior stakeholders across product, engineering, and business functions - including executive leadership.
  • Define the platform’s internal service model - SLAs, consumption patterns, prioritisation governance.
  • Act as the product interface between platform and the solution teams.
  • Build feedback loops so solution team needs shape the platform roadmap.
  • Act as the key interface between product and engineering at the platform level, ensuring platform investments are connected to product priorities and customer outcomes.
  • Ensure delivery of high-quality, scalable platform capabilities that enable product and engineering teams to operate effectively.
  • Enable consistent execution across teams through strong product leadership and clear direction.
  • Champion strong API design, platform extensibility, and internal client service model to ensure both platform and solutions KPIs are successful.
  • Lead, develop, and scale a team of product managers and leaders across platform domains.
  • Establish clear standards for product management excellence within the platform function - including rigorous discovery, sharp prioritisation and outcome-driven delivery.
  • Build a strong, collaborative culture across product, engineering and data.
  • Drive improvements in platform capabilities, processes, and performance.
  • Identify opportunities to increase efficiency, reduce duplication, and improve developer productivity.
  • Ensure the platform evolves to support future growth and complexity.

This role requires someone who is AI-native by instinct - someone who treats AI as a high-trust collaborator in how they think, build, and lead, and who can bring that mindset to an organisation in transformation. We’re looking for a senior technical product leader who combines deep platform expertise with genuine AI technical fluency - someone who has built and scaled complex data or AI platforms, and who brings the strategic ambition and executional rigour to lead Xceptor’s platform into its next era.

Qualifications:

  • A Bachelor’s degree in Computer Science, Engineering, or a related technical field is required.
  • Strong understanding of how platform capabilities underpin product outcomes, customer value, and commercial growth.
  • Minimum 10 years of product management experience, including leadership of platform, infrastructure, or technical product organisations.
  • Proven track record of launching new platform capabilities from vision through to scale.
  • Demonstrable AI fluency - you use AI tools natively in how you work, think, and build; you understand LLMs, ML model lifecycles, and agentic systems well enough to drive meaningful product decisions.
  • Proven ability to influence senior stakeholders across product, engineering, data science, and business leadership - including the executive team and board.
  • Comfort with AI infrastructure concepts: model serving, inference performance, feature engineering, and data pipelines.
  • Experience in financial services, fintech, or regulated data-intensive industries is a strong advantage.
  • Strong stakeholder management in environments with high complexity, multiple competing priorities, and fast-changing requirements.
  • Familiarity with data governance, lineage, and auditability - particularly in regulated industries.
  • Ability to work across the full AI product lifecycle - from identifying use cases and defining requirements through to model performance monitoring and iterative improvement.
  • Experience defining and delivering AI or ML platform capabilities in production environments, ideally within enterprise SaaS or data platform companies.
  • Deep understanding of modern platform architecture, APIs, data and integration layers, and scalable cloud-native infrastructure.
  • Ability to balance long-term platform strategy with near-term transformation and delivery demands.
  • Experience leading platform transformation or migration programmes – moving from legacy architectures to modern, scalable platforms while managing continuity for existing products and customers.
  • Ability to connect platform investment decisions to customer impact, competitive differentiation, and business strategy.
  • Ability to build clarity, alignment, and accountability across teams in ambiguous, fast-evolving environments.
  • Experience aligning multiple teams and domains around shared goals and sequenced delivery plans.
  • Experience leading and developing high-performing product teams, including coaching senior PMs and building team capability.
  • Ability to operate effectively in highly technical, engineering-led environments and earn credibility with senior engineers and architects.
  • Experience establishing and scaling product operating models for platform teams, including prioritisation frameworks and governance approaches.

Benefits:

  • Private medical insurance
  • 4x salary life assurance
  • Company pension scheme with 4% employer contribution
  • Employee assistance programme
  • Enhanced mental health and wellbeing resources
  • Everyday lifestyle savings
  • Flexible benefits platform
  • 25 days annual leave
  • A day off for your birthday
  • A volunteer day to invest in a charity or community-based work of your choosing
  • 5 days to invest in your continued learning and professional development
  • Flexible working policy
  • Access to the #1 app for meditation and sleep – Calm
  • 80% coverage of the cost of medical, dental, and vision insurance for EE.
  • 65% coverage of the cost for EC, ES, or EF (dependent on scheme guidelines)
  • FSA healthcare benefits
  • Commuter benefits
  • 401k employer-matched retirement account contributions
  • 2x annual salary life insurance

Senior Product Director (Platform) in London employer: Xceptor

Xceptor is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong focus on employee growth, we provide extensive professional development opportunities, flexible working arrangements, and a comprehensive benefits package that includes private medical insurance and generous leave policies. Join us to be part of a transformative journey in AI-native data automation, where your contributions directly impact the future of financial services.

Xceptor

Contact Details:

Xceptor Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Product Director (Platform) in London

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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 Xceptor would be by your initiative!

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We think you need these skills to ace Senior Product Director (Platform) in London

AI and ML Capabilities
Product Strategy Development
Platform Architecture
Stakeholder Management
Data Governance
Model Lifecycle Management
Cross-Functional Coordination

Some tips for your application 🫡

Show Off Your Product Passion:When applying for a product management role like Senior Product Director (Platform), 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 Senior Product Director (Platform) position at Xceptor. 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 Xceptor

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.