Matteo Maniscalco — Product Manager AI Platform

ABOUT // INTRODUCTION

Why I'm the right fit

Methodological Approach

I use behavioural science and design based research to understand what clients need, so that I can drive strategies that solve their pain points. I am data driven, grounding my decision making in evidence and good ethics.

Human-Centred AI

AI adoption is a behaviour problem. My background in behavioural science means I understand not just how to build AI features, but how to get people to actually use them, deeply and sustainably. I bridge the gap between technical capability and human adoption.

Financial Services Experience

Scalable Capital is building a new generation of financial services. From designing digital products for financial wellbeing to entrentching a behavioural approach to solving clients' financial dilemas, I have the experience you are looking for.

Cross-Functional Catalyst

I've advised 7+ business units, managed vendor relationships, aligned design and engineering teams, and presented to C-level stakeholders. I'm the person who connects the dots across teams and translates complexity into clarity.

ROLE_REQUIREMENTS // PERFECT_MATCH

What Scalable Capital Needs — What I Bring

You're seeking a Product Manager to define, scale, and operationalise AI capabilities across the organisation. Here's how my experience maps directly to your requirements.

01

Platform Strategy & Ownership

YOU NEED:

Define, prioritise, and own the strategic roadmap for an internal "AI as a Platform", providing robust, scalable, and easy-to-integrate services for all internal teams.

I BRING:

Built and owned the end-to-end product lifecycle for a cross-business Financial Wellbeing platform at Nedbank. Conducted client research that provided evidence for the integration of a nudge based loyalty programme.

02

Identify Opportunities

YOU NEED:

Collaborate with internal domain and product teams to identify opportunities to employ AI capabilities for client experience and operational efficiency.

I BRING:

Consulted across 7+ business units (Lending, Digital, CX, Investments, Home Loans, Segment, Research) to identify opportunities for behavioural interventions. I designed and piloted a behavioural economics training course for branch staff.

03

Use Case Implementation

YOU NEED:

Drive implementation of strategic AI use cases across the company and align timelines across all teams involved.

I BRING:

Led the implementation of the Greenbacks loyalty programme across multiple packages, coordinating design, tech, legal, and marketing teams. Managed 73+ projects with consistent delivery. Facilitated cross-team alignment that resolved conflicting priorities and accelerated delivery timelines.

04

GTM for AI Features

YOU NEED:

Support the planning, launch, and post-launch monitoring of new client-facing AI features, coordinating across Product, Engineering, Data, Operations, and Compliance.

I BRING:

Crafted go-to-market communication rules for multiple loyalty programme features. Coordinated launch across tech, commercialisation, marketing, and CX teams. Built a scaffolding approach to sequence feature rollouts and determine optimal nudging frequency for clients.

05

Data-Driven Vision

YOU NEED:

Leverage data analysis, user needs, market trends, and AI system insights to continuously inform and evolve the AI Platform vision.

I BRING:

Built research capability grounded in ethnographic user research, randomised control trials, and behavioural heuristics. Created the bank's evidence base that drove product decisions. Gap analysis methodology to identify where capabilities are missing and prioritise development. Research validated by world-leading behavioural consultancy.

METHODOLOGY // AI_ADOPTION_FRAMEWORK

My Approach to AI Implementation

Combining behavioural science with strategic design to drive deep, sustainable AI adoption. Informed by the Behavioural Insights Team's AI & Human Behaviour framework.

A

Augment

Using behavioural insights to improve how AI is built. Current AI models are powerful "fast thinkers" but vulnerable to the same biases as human intuition. The key is developing metacognition: the ability to match cognitive strategy to the task. I bring this lens to AI platform design, ensuring systems can both "think fast" and "think slow" depending on context.

Scalable Impact: Designing AI services that are resource-rational, avoiding both "overthinking" simple queries and "giving up" on complex financial decisions.

A

Adopt

AI adoption is a continuum from no use to shallow use to deep integration. Most adoption today is shallow. The real value comes from deep adoption, where AI is woven into workflows. Three factors drive this: motivation, capability, and trust. I design for all three, using choice architecture, social proof, and step-by-step journeys.

Scalable Impact: Moving internal teams from surface-level AI use to deep, workflow-integrated adoption that transforms operations.

A

Align

Designing AI systems aligned with human psychology. Ensuring transparency, fairness, and ethical considerations are embedded from day one. This means understanding not just what AI can do, but how people perceive and interact with AI-driven decisions, especially in financial contexts where trust is paramount.

Scalable Impact: Building AI compliance and governance that goes beyond checkbox regulation to genuinely ethical, trustworthy systems.

A

Adapt

Helping organisations adapt to AI's evolving impact. Building resilience and capability for continuous evolution. This involves understanding the cumulative effects of AI on teams and processes, anticipating societal shifts, and making active, deliberate choices before patterns become locked in.

Scalable Impact: Ensuring the AI platform evolves with the organisation, not just today's requirements but tomorrow's opportunities.

Designing for Behaviour Change in AI Adoption

01

Intent & Discovery

Map the system, understand the context, conduct user & behavioural research across domain teams

02

Design

Develop interventions using nudges, choice architecture, and evidence-based platform design

03

Trial

Run controlled experiments and pilot implementations to validate and refine AI use cases

04

Scale

Roll out with governance, compliance review, continuous measurement, and iterative improvement

Ethics at Every Step:

Fairness Transparency Compliance Sustainability

TIMELINE // PROFESSIONAL_JOURNEY

Professional Journey

A timeline of experience that prepared me for building and scaling AI platforms in financial services.

2017 — 2022

Behavioural Research Analyst

Nedbank, Johannesburg

Owned the end-to-end product lifecycle for a digital Financial Wellbeing tool, from ethnographic user research and vision through to prototyping, execution, and launch. Supported the design and launch of an award-winning loyalty programme impacting 1M+ clients.

73+ projects delivered 7+ business units advised 1M+ clients impacted

2022 — 2023

Student Assistant — Global Learning

GE Vernova, Kolding

Supported the launch of a compliance tracking platform for on & offshore wind technicians. Gained experience with international platform deployment and regulatory tracking systems.

Platform Launch Global Team Compliance Systems

2022 — 2025

MSc IT Product Design

University of Southern Denmark

Advanced study in applying information technology innovation within industrial design, development, and production processes. Research on sustainability design and non-human perspectives in design thinking.

Design Thinking User-Centred Design Sustainable Design

2025 — Present

Freelance UX Researcher & Consultant

Denmark

Providing UX research and behavioural science consulting services to product teams. Using AI and ML tools including building portfolio applications with Replit and leveraging ML for sustainable banking behaviour research.

Behavioural Science Product Strategy AI Tools

CASE_STUDIES // PROVEN_IMPACT

Proven Impact

24 months

Greenbacks Loyalty Programme

Contributed to the successful design, build, launch and post-execution of a behavioural-based loyalty programme. Crafted communication rules for all packages, coordinated across tech, marketing, legal, and CX teams. Conducted qualitative research that led to programme redesign.

Communication Design Cross-Team Coordination User Research

1M+ clients impacted

12 months

Personal Financial Wellbeing Tool

Led research strategy combining ethnographic interviews with nudge theory. Built a 201-slide externally validated research deck. Designed the scaffolding approach for feature rollout. Prototype adopted as basis for the bank's Money App 2.0.

Ethnographic Research Prototype Design Platform Strategy

6+ teams leveraged research

5 years

Cross-Business Behavioural Advisory

Served as the behavioural science resource across the entire bank, embedding evidence-based decision-making into product and communication design. Advised lending, digital, investment, and segment teams.

Stakeholder Management Framework Development Team Training

7+ business units transformed

READY_TO_CONNECT // LET'S_TALK

Ready to Build Scalable Capital's AI Future

I'm excited about the opportunity to bring behavioural science, platform thinking, and financial services experience to Scalable Capital's AI Platform. I'm ready to relocate to Berlin or Munich and contribute from day one.

Get in Touch

Email matteo.maniscalco7@protonmail.com

Phone +45 52 70 39 67

Portfolio matteoman.com

Location Kolding, Denmark (willing to relocate)

Citizenship Italian & South African (EU work rights)

$ whoami
matteo.maniscalco

$ cat motivation.txt
I see this role as a convergence of everything I've built towards:
- Platform thinking from building cross-business frameworks
- Behavioural science for driving real AI adoption
- Financial services DNA for understanding the domain
- Cross-functional leadership for aligning diverse teams

Ready to help Scalable Capital move from siloed AI solutions
to a unified, compliant, and robust "AI as a Platform" offering.

$ echo $STATUS
Available and excited to start.