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Noventra Group Europe works with selected brands, suppliers, and retail partners across the European market, with a focus on product sourcing, procurement support, and commercial retail collaboration.

As our partner brands continue to expand their presence across European retail channels, we are looking for a Remote Paid Media Specialist to support campaign coordination, audience research, paid advertising, and market development activities across Meta Ads and Google Ads.

In this role, you will help promote selected brand and product initiatives, support campaign setup, analyze performance data, research audiences, and provide clear recommendations to improve campaign results.

Key responsibilities:

- Plan, launch, and optimize paid campaigns on Meta Ads and Google Ads

- Support product and brand campaign research for European markets

- Research audiences, competitors, and campaign angles across retail categories

- Monitor campaign performance and identify opportunities for improvement

- Test creatives, ad copy, landing pages, and targeting strategies

- Prepare clear performance reports with actionable recommendations

- Work with the internal team to improve campaign structure, budget allocation, and conversion performance

Requirements:

- Hands-on experience with Meta Ads and/or Google Ads

- Understanding of campaign structure, conversion tracking, retargeting, and A/B testing

- Ability to read campaign data and make practical optimization decisions

- Good written English for reports and internal communication

- Reliable, detail-oriented, and comfortable working remotely

- Experience with eCommerce, retail, lead generation, procurement, or European markets is a plus

This is a fully remote role open to candidates worldwide. We are looking for someone who can work independently, communicate clearly, and support brand growth across European retail and digital channels.

Full role details, compensation information, and the application process are available on our official careers page.

About Liquid AI

Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.

The Opportunity

This is a rare chance to apply frontier sequential recommendation architectures to real enterprise problems at scale. You will own applied ML work end-to-end for recommendation system workloads, adapting Liquid Foundation Models for customers who need personalization and ranking capabilities that run efficiently under production constraints.

Unlike most recommendation roles that are siloed into a single product surface, this role gives you full ownership over how large-scale recommendation models are adapted, evaluated, and deployed for enterprise customers. Between engagements, you will build reusable applied tooling and workflows that accelerate future delivery.

If you care about data quality at scale, user behavior modeling, and making recommendation systems actually work in enterprise production environments, this is the role.

What We’re Looking For

We need someone who:

• Takes ownership: Owns customer recommendation system engagements end-to-end, from requirements through delivery and evaluation.

• Thinks at scale: Can reason about user interaction data, sequential modeling, feature engineering, and evaluation across large-scale production systems.

• Is pragmatic: Optimizes for measurable customer outcomes (engagement, conversion, revenue lift) over theoretical novelty.

• Communicates clearly: Can translate between customer business metrics and internal technical decisions, and push back when needed.

The Work

• Act as the technical owner for enterprise customer engagements involving recommendation and ranking workloads

• Translate customer requirements into concrete specifications for recommendation models

• Design and execute data pipelines for user interaction data, feature engineering, and training data curation at scale

• Fine-tune and adapt large-scale sequential recommendation models (e.g., HSTU-style architectures) for customer-specific use cases

• Design task-specific evaluations for recommendation model performance (ranking quality, latency, throughput) and interpret results

• Build reusable applied tooling and workflows that accelerate future customer engagements

Desired Experience

Must-have:

• Hands-on experience building or fine-tuning recommendation models at scale (not just off-the-shelf collaborative filtering)

• Experience with sequential recommendation architectures, user behavior modeling, or large-scale ranking systems

• Strong intuition for data quality and evaluation design in recommendation contexts (offline metrics, A/B testing, business metric alignment)

• Experience with large-scale data pipelines for user interaction data and feature engineering

• Proficiency in Python and PyTorch with autonomous coding and debugging ability

Nice-to-have:

• Experience with transformer-based recommendation architectures (HSTU, SASRec, BERT4Rec, or similar)

• Experience delivering recommendation systems to external customers with measurable business outcomes

• Familiarity with serving recommendation models under latency and throughput constraints

What Success Looks Like (Year One)

• Independently owns and delivers enterprise recommendation system engagements with minimal oversight

• Is trusted by customers as the technical owner, demonstrating strong judgment on the tradeoffs between model quality, latency, and business impact

• Has built reusable applied workflows or tooling that accelerate future customer engagements

What We Offer

• Real ML work: You will build and adapt large-scale recommendation models for enterprise customers, working with frontier architectures like HSTU under real production constraints.

• Compensation: Competitive base salary with equity in a unicorn-stage company

• Health: We pay 100% of medical, dental, and vision premiums for employees and dependents

• Financial: 401(k) matching up to 4% of base pay

• Time Off: Unlimited PTO plus company-wide Refill Days throughout the year

Du willst Ergebnisse, keine Diskussionen?
Du arbeitest strukturiert, hast ein klares Verständnis für saubere Prozesse und weißt, wie wichtig Verlässlichkeit im Vertrieb ist? Dann bist du bei uns genau richtig!

Wir suchen einen Senior Sales Consultant (m/w/d), der mit klarem Fokus auf Abschlussquote, Systemtreue und messbare Resultate arbeitet. In dieser Position übernimmst du Verantwortung für die direkte Kundengewinnung, führst strukturierte Verkaufsgespräche anhand erprobter Leitfäden und unterstützt beim Ausbau unserer Vertriebsprozesse. Visionen überlassen wir anderen, du bringst Klarheit, Kontrolle und Umsetzung.

Deine Aufgaben

• Kundengewinnung mit Struktur: Gezielte Ansprache potenzieller Kunden, Bedarfsanalyse und Führung durch unseren klar definierten Vertriebsprozess.

• Pflege stabiler Kundenbeziehungen: Saubere Betreuung mit nachvollziehbaren Abläufen, festen Schritten und dokumentierten Follow-ups.

• Vertriebsprozesse umsetzen: Einhaltung von Standards, Arbeit mit KPIs und Sicherstellung, dass kein Schritt ausgelassen wird.

• Teamverantwortung übernehmen: Enge Zusammenarbeit mit dem Team, klare Übergaben und Orientierung durch feste Strukturen.

Was wir dir bieten

• Stabilität & Klarheit: Strukturierte Prozesse, feste Zuständigkeiten und ein durchdachtes Vertriebssystem.

• Arbeitsplatz mit Planbarkeit: Geregelte Abläufe, messbare Ergebnisse und ein klarer Erwartungshorizont.

• Büro in München: Konzentrationsfördernde Umgebung mit klarer Aufgabentrennung und ruhiger Atmosphäre.

• Strukturiertes Onboarding: Systematische Einarbeitung, Schritt für Schritt.

• Teamorientierte Umsetzung: Jeder kennt seinen Bereich, alles greift ineinander, ohne Reibungsverluste.

• Mehrjährige Vertriebserfahrung, idealerweise im Beratungs- oder Agenturumfeld.

• Freude an Zielen, Zahlen und dem sichtbaren Erfolg von klaren Abläufen.

• Unternehmerisches Denken, strukturierte Umsetzung und eigenverantwortliches Handeln.

• Klare Kommunikation in Deutsch und Englisch, sachlich, effizient, ohne Umwege.

• Führung mit Struktur, nicht mit Vision, sondern mit System.

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