Stockholm, Sweden / AI Product Leader

Ali Myftiu

I help growing product organizations make clear bets, align leaders behind them, and measure whether they paid off.

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What I bring to a scale-up

Strategy that leaders can act on

I turn company goals into a few clear bets, each with an outcome, a trade-off, and a way to measure it.

Alignment across functions

I’ve aligned studio directors in games and VP forums in streaming, and I set one roadmap for 250+ engineering teams in fintech.

AI in how teams work

I run my own work with AI agents, and I ran King’s AI for PMs community to help other PMs do the same.

Teams that run on their own

I build and coach teams, and set KPIs so they make good calls without waiting for me.

Recent Work

King: +1.1% gross bookings by enabling offline gold-bar spending

Senior Product Manager - Game Economy, Stockholm

At King, I built the business case for letting Candy Crush players spend gold bars offline. Players were hitting a connection error when they wanted to buy more moves, and many never returned to finish the purchase. I co-designed the solution with the game teams from day one, using shared branches and mocked interfaces so Candy and Soda could build in parallel.

The trade-off was a faster offline experience against the risk of overspending across devices. Before launch, I agreed an overspender strategy with Candy, Soda and Player Support. The result was +1.1% gross bookings in Candy Crush across two tests, and +0.5% in Candy Crush Soda.

What this showsI can find revenue in player friction, and align several teams to ship it.

Also at King

  • Rebuilt the history of a slipping Candy Crush initiative, found that unplanned rollout validation had caused the delay, and gave leaders scoped options instead of another date.
  • Took central economy balancing for Candy Crush from early experiment to MVP and presented it to King’s CTO.
  • Built the baseline for how long LiveOps changes take to reach Candy Crush players.
  • Automated price configuration across King’s core games, cutting price updates from weeks to hours.
  • Ran Product Community initiatives, including AI for PMs.
  • Built AI agents and writing skills that handle my weekly meeting prep, daily briefs and executive drafts.

Viaplay: +30% user engagement through a shared retention North Star

Product Manager Retention, Stockholm

At Viaplay, I owned retention outcomes across Customer Segments and Growth, leading two cross-functional teams of engineers and designers. The work meant balancing the priorities of finance, content and data science.

I developed a retention vision and strategy tied to the company’s North Star metric, aligning the teams and presenting the direction to VP-level stakeholders. The work delivered a +30% increase in user engagement.

What this showsI can lead across teams and functions before I hold the title.

Klarna: 40% lower developer lead times and costs through self-service

Account Lead / Competence Lead, Stockholm

At Klarna, I owned a central capability serving 2,000+ engineers across 250+ teams. I balanced immediate requests and executive pressure for speed with a roadmap for reusable self-service capabilities.

I shifted the operating model from concierge support to self-service, built and mentored an autonomous cross-functional team of 9+ people, and introduced weekly customer office hours. The result was a 40% reduction in developer lead times and costs.

What this showsI grow impact by redesigning how an organization works.

Earlier roles

I started as a software engineer, so I understand the engineering side of every trade-off I make.

Agile Lead, Viaplay

Stockholm

  • Implemented support for new payment methods across subscription and purchase flows
  • Worked on user management journeys in high-traffic B2C environment
  • Revamped engineering processes, implementing agile methodologies

Software engineering

  • Senior Software Engineer

    Videoplaza, Stockholm

  • Senior Software Engineer

    Seamless, Stockholm

  • Senior Software Engineer

    Significant, Stockholm

  • Java Software Engineer

    Plansoft, Florence

How I lead

Outcomes over output
I set goals on revenue, adoption, and decisions. Features shipped are a means.
Evidence before narrative
I trace every number to its source before I present it.
Clear decision rights
Product owns the why and the what. Engineering owns the how. I name that line early.
Experiments that can prove me wrong
I back big bets with A/B tests so the data decides.

Contact

Open to AI product leadership roles at scale-ups. Email is the fastest way to reach me.