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About

Profile summary

Bridging user needs, technology and business through industrial platform experience, applied AI and product management.

I start with the customer's problem, not the solution. For 20+ years at Schneider Electric I have worked where customer needs, technology, delivery and business value meet. Today I connect Nordic customer needs with platform quality and R&D prioritisation — and I am building toward Product and Offer Management.

Nordic Technical Support Expert · Developing toward Product & Offer Management

  • AI Product Manager with 20+ years of experience across BMS/HVAC, SCADA, IoT/IIoT, energy and mission-critical real-time environments. Combines deep industrial domain and customer-facing delivery experience with hands-on applied AI and product management capabilities to conduct customer and technical discovery, validate high-value user problems, translate operational needs and data into product opportunities, and shape feasible, scalable solutions.
  • Brings end-to-end technical ownership and cross-functional experience across Product Owners, engineering, R&D and business stakeholders, contributing to prioritisation, feasibility assessment and technical and commercial trade-offs. Has turned recurring customer issues and real-world usage into product feedback and enhancement proposals while supporting release validation and deployment readiness.

Background

My journey in short

My professional foundation was built alongside customers, working with real systems and the operational constraints that shape their daily decisions.

I started as a customer-facing Project Engineer working with requirements, system design, programming, integration, commissioning and end-to-end implementation. I later became a national digital-platform technical expert, supporting customers and field teams — understanding their situations and adapting guidance to each person and context — while working close to platform quality, product lifecycle, QA, release validation and deployment readiness.

As Senior Technical Advisor, my work increasingly connected customer needs, project delivery, technology and business. I led technical discovery, translated operational requirements into scalable architectures and solution directions, held end-to-end technical ownership and helped evaluate product and solution alternatives by balancing technical feasibility, lifecycle risk, reliability, cost and commercial value — often as the informal technical lead colleagues turned to when the trade-offs got hard, mentoring and guiding teams through complex deliveries.

As Nordic Technical Support Expert within Building Management Systems, I now mentor Level 2 advanced support engineers and support technicians and EcoXpert partners across the Nordic region, and take ownership of major strategic customers. The role also brings a Nordic view into collaboration with R&D: overseeing and prioritising defects and improvement needs according to customer impact, technical risk and relevance to priority Nordic business, while mentoring colleagues and strengthening shared support capability.

I expanded that foundation through a B.Sc. in Computer Science focused on applied AI at Mälardalen University, advanced AI studies and a specialisation in Industrial Economics and Management at Blekinge Institute of Technology. My motivation was to shift from technology toward product, strategy and business — connecting societal challenges and user needs with product decisions, viable business models and 20+ years of domain experience to move toward product and offer management. Talking SCADA became the recurring academic case where those perspectives met: making the data behind a building's ventilation, heating, cooling and alarms understandable, so the people responsible can see where energy is wasted and decide what to do about it.

A product succeeds when it does the job the customer actually has — for the people who actually use it. That means finding the pain before the solution, being honest about what the data can support, respecting how people work, and making the trade-offs visible: for the customer, for engineering and for the business. No product is built alone. The best solutions emerge when different perspectives are heard, challenged constructively and brought together around a shared direction.

My product philosophy

Strengths

What I bring

Customer & Stakeholder Focus

A career spent close to real customers — uncovering the job to be done and the pains of both external users and internal stakeholders in engineering, QA, R&D and business.

Industrial & Platform Depth

More than 20 years in complex, real-world B2B environments — connected systems, building and energy technology, and operations where failure is visible and costly.

Product Thinking

Connects product discovery, requirements, prioritisation and lifecycle decisions with customer and business value. Academic work includes NPD, PRD and SRD artefacts, MVP definition, value assessment and commercialisation planning.

Technical Credibility

Bridges engineering and business — machine learning, backend and frontend — with end-to-end technical ownership, solution architecture, system integration and complex operational constraints.

Applied AI & Human-Centred Design

Applied work in GenAI/RAG, wind-power forecasting and AI decision-support concepts, alongside interaction design, prototyping and accessibility evaluation. Experience includes testbed evaluation with users and modelling with real data.

Collaboration & Influence

Works by understanding the situation first, creating clarity from different perspectives and building alignment around the problem and the trade-offs. Experience across customers, field teams, Product Owners, engineering and R&D has required adapting communication to different audiences, influencing without relying on formal authority, and helping teams move from complex discussion toward practical decisions.

Principles

How I work

  1. 01

    Listen before defining

    Understand the user's operational reality and the job that needs to be done before discussing features or technology.

  2. 02

    Create clarity from complexity

    Turn customer, business and technical input into understandable problems, options and priorities.

  3. 03

    Build alignment

    Bring customer, product, engineering and business perspectives together and make the trade-offs visible.

  4. 04

    Influence through evidence

    Use customer impact, operational consequences, technical feasibility and business value to build support for decisions rather than relying on formal authority.

  5. 05

    Make technology serve the problem

    Start with the user and the outcome, then determine whether AI, automation or another technical approach is actually justified.

Focus

Target roles and core areas

  • AI Product Manager
  • Product Manager
  • Product Owner
  • Offer Manager

Product

  • Product Management
  • Product Discovery
  • Product Vision
  • Product Strategy
  • B2B Enterprise Platforms
  • Requirements Engineering
  • Requirements / PRD
  • Prioritisation
  • Stakeholder Alignment
  • Product Lifecycle
  • Roadmap Input
  • Release & Adoption Readiness
  • Business Model Design

AI

  • GenAI / LLMs
  • RAG & GraphRAG
  • Agentic / Multi-Agent AI
  • Applied Machine Learning
  • Deep Learning
  • NLP
  • Time-Series Forecasting
  • AI Trade-offs & Limits

Platforms

  • Industrial Digital Platforms
  • SCADA
  • BMS / HVAC / EMS
  • IoT / IIoT
  • PLC & Connected Systems
  • Real-Time Monitoring & Control
  • Building Automation
  • Energy Systems

UX

  • Product Discovery
  • Interaction Design
  • Wireframing & Paper Prototyping
  • Figma Prototyping
  • User Testing
  • Usability Evaluation
  • Accessibility & Inclusive Design
  • Heuristic Evaluation

Languages

Working languages

  • Swedish

    Native

  • English

    Proficient