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AutoRek is a financial data management platform enabling companies to streamline and automate complex and high-volume data management and controls processes. Our customers range from innovative FinTech start-ups to many of the UK and the world’s largest banks, asset managers, and insurance companies. As financial transaction volumes continue to grow alongside increasing regulatory obligations, organisations are under pressure to improve efficiency, strengthen controls, and better manage risk. AutoRek’s platform is designed to meet these demands, and we continue to be a leading player in the market.
We have recently launched ARIA, our embedded AI capability within the AutoRek platform, designed to enhance how our customers manage and automate complex financial data workflows. ARIA builds on our strong foundation in reconciliation, controls, and financial data management, combining deep domain expertise with advanced AI capability. There is a growing volume of AI-driven ideas and use cases emerging from across our customer base, Sales teams, and internal stakeholders. The opportunity now is to shape these ideas into structured, scalable product features that can be consistently delivered, adopted, and embedded within the core platform. This role is central to ensuring ARIA evolves from a set of promising capabilities into a repeatable, high-impact product offering that delivers tangible value to our clients, improving efficiency, strengthening controls, and reducing operational risk.
What You’ll Do
As an AI Product Lead, you will be responsible for driving the execution of ARIA by turning AI-driven ideas into a structured, prioritised backlog of features that are built, shipped, and adopted. This is a hands-on product execution role, focused on delivery rather than strategy or research. You will work closely with Engineering, Product Leadership, and customer-facing teams to ensure ARIA evolves into a scalable and repeatable product capability.
What We’re Looking For
- Strong experience owning and managing a product backlog
- Proven ability to translate ambiguous ideas into clearly defined, shipped features
- Experience working in data-heavy, workflow-driven platforms
- Ability to break down AI, ML, or automation capabilities into incremental, buildable features
- Experience working closely with Engineering teams across design, development, and delivery
- Ability to engage with customers, Sales, and stakeholders to gather inputs and convert them into actionable requirements
- Comfortable operating cross-functionally across Product, Engineering, Sales, and Professional Services
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Domain Experience (Preferred)
- Background in financial services (banking, asset management, insurance)
- Understanding of:
- Reconciliation processes
- Financial data flows
- Operational controls and risk
- Ability to translate complex operational workflows into product features
Desirable
- Experience working in an FCA regulated environment
- Experience as a Product Manager in a B2B SaaS or platform business
What You’ll Be Doing
As an AI Product Lead, you will focus on bringing structure, discipline, and delivery to ARIA. You will take ownership of converting a growing pipeline of AI ideas into a clear, prioritised backlog of buildable features, ensuring delivery is consistent, predictable, and aligned to business value. You will introduce rigour into how work is defined, prioritised, and executed, working closely with Engineering to drive features through to completion. Your role will be critical in moving ARIA from ad hoc, SME-led innovation to a scalable, repeatable product capability that delivers measurable impact.
In this role, you will:
- Own and manage the ARIA backlog, ensuring it is clear, prioritised, and delivery-ready
- Translate:
- Customer requests
- Sales input
- Internal ideas into well-defined product features with clear scope and outcomes
- Break AI concepts into:
- Practical workflows
- Incremental deliverables
- Work closely with Engineering to:
- Define requirements
- Guide implementation
- Ensure features are delivered
- Introduce structure across:
- Prioritisation
- Sprint planning inputs
- Delivery tracking
- Shift ARIA from ad hoc innovation to repeatable product execution
- Ensure all features deliver measurable value (e.g. automation, efficiency, control)
- Focus on adoption, usability, and real-world impact
- Act as the translation layer between AI capability and product delivery
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Success Measures
In your first 6–12 months, success will be defined by:
- Establishing and maintaining a clear, prioritised ARIA backlog
- Consistent delivery of:
- AI-driven features
- Usable, adoptable capabilities
- Reduced reliance on ad hoc / SME-led AI delivery
- Improved:
- Delivery predictability
- Adoption of ARIA capabilities
Key Traits
- Structured and highly organised
- Delivery-focused and pragmatic
- Commercially aware
- Comfortable working in ambiguity, with the ability to create clarity
- Hands-on and detail-oriented, particularly with Engineering team
Benefits
- 26-day annual leave package, plus public holidays and your birthday off
- Floating public holidays
- Salary exchange pension scheme
- The option to buy extra annual leave days
- Company Bonus Plan
- Employee Nominated On-The Spot Bonus Program. Ranging from £100 - £5000!
- Employee-Referral Scheme
- Private healthcare & hospital cash plan that covers our employees’ partners and dependents
- 3 x Group Life Insurance
- Service Recognition Awards - Extra time off & gifts
- Regular team-building events and monthly all-staff updates from our CEO
- Opportunities for professional development and growth
- Access to online learning for all - Pluralsight & Udemy
- Gym membership discount
- Byond cashback card – Cashback on purchases from your local high street retailers
- Salary sacrifice cycle scheme – Our cycle to work benefit-pay nothing upfront and save on the cost of a brand-new bike and accessorise. All while saving the planet by reducing your carbon footprint.
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