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Deployment Strategist

Job not on LinkedIn

🕒 4 days ago

🌐 Spain, Italy, +4 more countries – Remote

infoinfo

💵 €50k - €70k / year

⏰ Full Time

🟢 Junior

Where this job comes from

Posted on Albatross's careers page, not through a job board

First seen by Remote Rocketship 4 days ago

Still open on Albatross's site. Checked 5 hours ago.

Logo of Albatross

Albatross

- employees

🤖 Artificial Intelligence

☁️ SaaS

🏪 Marketplace

Artificial Intelligence • SaaS • Marketplace

Albatross is a company building perception models and a real-time discovery platform that interprets user behavior sequences (not just text) to predict intent and serve instant, personalized recommendations. Their SaaS-like offering exposes APIs (catalog, events, prediction) to power discovery surfaces across marketplaces and e-commerce sites, regenerating recommendations continuously and making new listings discoverable within minutes. In production across marketplaces in 12 countries, Albatross reports 3+ billion requests/month, 50+ million users/month, and orchestration of 150+ million products; customers include Wallapop and OfferUp with reported engagement and conversion uplifts. The company emphasizes small, fast transformer-based perception models, real-time embeddings, and publishes research on cold-start and real-time recommendation problems.

📋 Description

• Own the customer relationship end-to-end during deployment: timeline, expectations, data, analyses, and reporting • Gather and validate customer data, chasing stakeholders as needed to get it in on time and in the right format • Review automated data-quality checks and flag anomalies before they become problems • Run and report on data-adequacy analyses to confirm a customer's data is ready for deployment • Manage the deployment pipeline end-to-end (workflows, early training, go-live) • Build and maintain dashboards tracking deployment health and A/B test results • Support the commercial team with data and analysis during customer negotiations

🎯 Requirements

• Degree in a quantitative field (Computer Science, Data Science, Engineering, Statistics, or similar) • 1-3 years of hands-on experience working with real data (e.g. data analyst, BI analyst, data engineer, junior data scientist, or a similarly data-heavy role) • Strong analytics skills, including handling real-world datasets • Experience building and reading dashboards • Comfortable learning fast and growing technical judgment • Strong client-facing communication skills in English with the ability to explain technical concepts clearly to both engineers and non-technical stakeholders • Good judgment on when to escalate vs. resolve independently • Eligible to work in Europe

🏖️ Benefits

• Full remote flexibility across Europe

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