Freddy Friedman, CPO, hands-on product leadership, professional portrait

Proven architect of scale at Klarna, Amadeus, Smaato, Resourcify: delivering AI-native product excellence and operational breakthroughs.

CPO · hands-on product leadership

Freddy Friedman

Guiding boards and leadership teams to AI-native product & tech excellence.

Advisory, fractional CPO/CPTO, and board roles.

By the numbers

25+
years institutional product/tech leadership.
4+
M&A — close & integration
120+
People in largest global BU & cross-functional product org
10+
Years in C-level & managing director roles

Engagement

Clarity before commitment

Every mandate starts with alignment: what “good” looks like, how we'll work together, and how we'll track progress, so advice translates into action.

Board roles & governance

Product/tech/AI judgment for scale-ups: diligence, risk, governance.

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Fractional CPO / CPTO

Hands-on leadership when you need senior product & technology judgment without a full-time hire, with operating cadence aligned to your stage.

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Strategic advisory

For founders and leadership teams: product strategy, AI roadmap realism, org design, and executive sparring: focused sessions with clear outcomes.

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About

Building the engines of innovation

Leading global product and engineering organizations at Klarna, Amadeus, Smaato, Amobee, and Resourcify, I work at the intersection of complex technology, market strategy and org design.

I don't only “run product”, I architect the systems (process, culture, and tech) that let innovation compound.

Most recently at Resourcify, I led a full product-and-tech transformation toward an AI-native operating model.

AI changes the UI of work: leadership still sets the ceiling. I partner with founders, CEOs, and boards who want velocity and governance, not hype cycles.

Experience across

Klarna·Amadeus·Smaato·Amobee·Resourcify

Impact

Strategic advantage, distilled

Executive product leadership for founders, CEOs, and boards. outcome focused.

01

Global scale & architecture

Product and technical frameworks for B2B SaaS and platforms under growth pressure: multi-region, multi-team and board-visible.

Outcomes

  • Scaled product and engineering at global pace
  • Complex platform contexts and integrations
  • Alignment across regions, functions, and senior stakeholders
02

AI-first transformation

Moving from AI as experiments to AI as operating leverage: org design, builder culture, and governed delivery, without losing quality, security, or customer trust.

Outcomes

  • Operating model shifts from pilots to scaled, measurable leverage
  • Clear feedback loops from discovery through production
  • Context-specific metrics where sponsorship and scope align
03

Board & advisory

Independent product, tech, and AI evaluation for founders, CEOs, and boards facing high-stakes decisions: from strategy and risk to investment and AI readiness.

Outcomes

  • Clarity on roadmap credibility, execution risk, and tech debt
  • Guidance on AI investment discipline and governance expectations
  • Support for funding, M&A, and board-level narratives
04

Revenue engineering

Translating product, data, and go-to-market insight into sustainable revenue: pricing, packaging, and growth levers that respect platform, compliance, and brand.

Outcomes

  • P&L impact from new or optimized product revenue streams
  • Monetization playbooks informed by commercially focused platform experience
  • Cross-functional alignment on where growth should come from next

Methodology

The AI-first product OS

Three pillars that connect strategy, culture, and delivery speed.

Re-architecting product & tech DNA

AI is not an add-on: it changes how teams are structured, how roles evolve, and how software is built. The goal: move from legacy silos to smaller, integrated, AI-empowered cross-functional teams, with higher impact per person, faster time-to-market, and better ROI on engineering.

Builder culture (human + automation)

We don’t replace people with AI; we remove repetitive manual work so your best people focus on judgment, taste, and architecture. PMs prototype and validate with modern AI tools; engineers orchestrate and audit AI-generated systems for architecture, privacy, and security; everyone operates as a builder.

Accelerating the value-to-market loop

In an AI-first world, cycle time is a moat. Compress discovery-to-delivery with clear feedback loops and disciplined execution: targets and proof points are agreed with leadership per context (see playbook for a worked example with attribution).

Transformation

The AI-first reset

A practical framework: diagnostic, org re-engineering toward builder squads, and reconstruction of the value-to-market loop, with the governance and security bar your customers expect.

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At a glance

  • 01Diagnostic · journey, leverage points, constraints
  • 02Org re-engineering · squads, rituals, AI fluency
  • 03Reconstruction · ship, measure, tighten the loop