In this episode, we’re joined by Peter Sunna (ex-Contentful, Commercetools), now leading product at Kognic, an annotation platform that helps cars “see” via camera & LiDAR for ADAS and autonomous driving. Peter shares why he downplays traditional roadmaps in favor of a company-wide “How We Win” operating system, aligning teams on target segment, differentiation, and the strategic power to compound.

We dive into the automotive software shift, safety-critical AI, and how to build defensibility when AI keeps redefining what’s feasible, sometimes in months. Peter explains how to keep Sales, Product, Marketing, and CS selling and building the same thing so strategy drives the plan, not a feature laundry list.

Here are some of the key questions we address:

• How do you replace feature roadmaps with a "How We Win" system that aligns every team and still tells customers what matters next?

• What does differentiation look like in practice and which power are you compounding (process, network effects, brand, switching costs, etc.)?

• When you’re early and have no moat, how do you use counter-positioning and when do you evolve to a more durable power?

• Depth vs. breadth: should you go deeper on a few use cases or widen to adjacent ones, and how do you decide?

• How do you sell a new workflow into enterprises (crossing the chasm) when existing org structures resist change?

• With AI rapidly changing what’s feasible, how do you plan, defend your margins, and avoid being automated away?

🎧 Tune in to hear how Peter turns strategy into an everyday operating cadence proving that in B2B, roadmaps don’t win markets; clarity on how you win does.

In this episode, we’re joined by Frida Ahrenby, CMO at Rillion, the AP automation platform expanding aggressively in the US with a new Austin hub. Frida breaks down how she rebuilt marketing from zero to a lean, 10-person, high-output team, starting with a performance+ops backbone, overhauling content/SEO, and leaning hard into field marketing for CFO buyers, while keeping creativity human in an AI-accelerated org.

We spoke with Frida about sequencing the first hires, structuring around three pods (Demand Gen incl. Field, Brand/Content/Design, Product & Customer Marketing), and using AI to multiply output without outsourcing originality. She shares how to avoid silos and title inflation, decide what must be owned in-house to truly own the number, and what it really takes to crack the US market from a European base.

Here are some of the key questions we address:

• How do you build a lean, unsiloed marketing org that still scales output (and keeps standards high) with AI in the mix?

• What’s the exact hiring sequence from a blank slate: why start with performance/ops, then content/SEO, then expand demand?

• Own it in-house or outsource? A simple rule for speed, agility, and true metric ownership and when agencies still help.

• Which marketing roles will compress vs. which remain decisively human in the AI era?

• What skills win now: how to hire for smart, analytical, creative demand gen, and deeply curious content that drives revenue?

🎧 Tune in to hear how Frida designed a tighter, faster marketing engine and why cracking the US is a marathon you run with data, creativity, and relentless focus, not headcount.