Aline Aronsky

I help AI and data products find their audience through strategy

Portfolio

Work experience

01 Jan 2025 — Present

Founding GTM Lead

Nexura

  • Run end-to-end GTM as a team of one for an AI-driven SaaS product: market research, positioning, messaging architecture, and launch strategy.
  • Turn customer research into MVP positioning and value propositions that land with non-technical clinical buyers.
  • Built the positioning framework, brand narrative, and early-adopter outreach that established the product's market presence.
02 Dec 2023 — Nov 2024

Media Innovation Director

Mindshare (WPP) · Coca-Cola

  • Defined and ran Coca-Cola's global media-innovation agenda, turning emerging-tech opportunities into actionable brand strategies across markets.
  • Built internal tools to operationalise it, including an AI-powered search engine for commercial applicability and a partner-benchmarking tool; acted as global liaison to Meta, TikTok, YouTube, and Twitch.
03 Mar 2020 — Nov 2023

Media Strategist

Mindshare (WPP) · Coca-Cola

  • Led global media strategy for Coca-Cola across 30+ markets, optimising spend and brand health.
  • Developed strategy briefs, best-practice guides, and campaign playbooks for local agency teams worldwide.
04 Apr 2018 — Mar 2020

Creative Strategist

Hanway Associates

Advised medical-cannabis and wellness startups on market entry, positioning, and communication strategy in a fast-moving regulated sector.

Aline Aronsky
about

The thread running through my career has always been the same: a fascination with the relationship between people and the technologies they create.

My strength has always been one of translation. I move between engineers and the people asked to place their trust in what they build; between the mechanics of a product and the human reason for caring; between the mute certainty of data and the far messier business of human judgment.

An MSc in Applied Information and Data Science in Zurich is my way of learning the language from the other side. Not because I intend to become a data scientist, but because I want to understand the machinery well enough to shape it with intention—to make it not merely intelligible, but genuinely good.

I have always worked best when I'm handed difficult problem and left enough open ground to pursue it. I prefer momentum to red tape, prototypes to process, and face-to-face meetings even if they could have been an email.