Senior Product Manager, AdTech (m/f/d)
Anbieter KI-gestützter Zielgruppendaten für In-Store Retail Media
Standort
Zürich
Vertrag
Festanstellung, Vollzeit
Sprachen
Vergütung
Level
Professional
Senior
Lead
Head
Executive
Senior
Jetzt Prozess starten
30 Minuten · dein CV bleibt bei uns
01
Der Kunde
Our client is a global leader in AI-powered audience data solutions for in-store Retail Media. By leveraging advanced computer vision, edge computing, and real-time data pipelines, they transform physical retail environments into intelligent, data-driven media channels.
Branchen
Reichweite
Größe
·
Zur Rolle
02
Deine Mission
- Product Ownership & Vision - Define and own the product vision, strategy, and roadmap for your product area, guiding the path toward product–market fit.
- Market & Customer Discovery - Actively seek customer and market insights through continuous discovery and competitive analysis to identify and validate high-value opportunities in the retail AdTech space.
- Lean Execution - Drive rapid, lean experimentation. Prioritize decisively to deliver the most effective product with the least effort, iterating quickly based on validated learnings.
- Technical & Architectural Guidance - Collaborate with engineering to make key architectural decisions, ensuring the platform remains scalable and performant. Translate complex technical concepts into clear communication for all stakeholders.
- Cross-Functional Leadership - Serve as the central hub, aligning engineering, sales, marketing, and operations teams around the product vision and roadmap.
- Product Evangelism - Act as a key evangelist for the product. Clearly communicate the value proposition, vision, and technical strengths to customers, partners, and internal stakeholders to drive adoption and enthusiasm.
- Data & Intuition-Driven Decisions - Balance quantitative data with strong product intuition to make well-informed decisions, even in data-scarce situations. Define, track, and report on key success metrics.
03
Dein Profil
Must-haves
- 5+ years of product management experience, with a strong focus on the AdTech ecosystem (e.g., programmatic advertising, SSPs, DSPs, DMPs)
- Proven track record of launching and iterating products in startup, pre–product-market-fit, or similarly fast-paced and ambiguous environments
- Solid technical foundation, gained through a Computer Science/Engineering degree or equivalent professional experience leading technical products
- Entrepreneurial mindset: resourceful, results-oriented, and confident in making decisions even with limited data
- Exceptional communication and leadership skills, with proven ability to influence and align cross-functional teams and mentor other product managers
- Self-Management: You take ownership and responsibility without waiting for direction
- Adaptability and Motivation: You are adaptable, self-motivated, and enjoy working independently as well as collaboratively
- Hands-On Approach: You roll up your sleeves to solve problems and remove obstacles for yourself and your team
- Curiosity and Learning: You have a curious mind and continuously deepen your understanding of tech, the industry, and where our company is heading. You are willing to ask questions and learn from diverse sources to stay ahead of your industry and specialization
- Tech-Savvy: Slack, shared calendars, AI collaboration tools - this is your normal work environment and essential for success in our hybrid work environment
- In-Person Collaboration: You value face-to-face exchanges at the office and at team events, which are important to build strong interpersonal relationships and improve creative work outcomes
- Cross-Functional Teamwork: You’re comfortable collaborating across teams and engaging in open, direct conversations
- Feedback Culture: You give and receive direct feedback naturally; it’s how we get better, together
- You are a Game Changer: You want to shape things, not just manage them. You seek opportunities to break the status quo and build something better
04
Nice to have
- Master's degree in a related field
- Direct experience with data analysis and query languages (e.g., SQL)
- Familiarity with computer vision concepts or other AI/ML technologies
- Deep understanding of digital privacy regulations (GDPR, CCPA, etc.) is a plus
05
Unser Kunde bietet
- Innovative Environment: Join a team combining computer vision, IoT, edge computing, and real-time data pipelines to build enterprise-grade tech that transforms retail and advertising. We model complex enterprise processes and stakeholder networks, applying AI to drive real-world business impact
- Global Impact: Collaborate with some of the world’s largest retailers and lead the charge in shaping the future of unified omnichannel Retail Media
- Professional Growth: Your role won’t be static. As our client continues to grow, new leadership and specialist roles will be created, giving you the opportunity to step into them. Your work will have a direct impact on the company’s overall growth trajectory
- Supportive Culture: Be part of a team that values innovation, collaboration, and operational excellence, without the corporate fluff
- Fast-Paced and International Startup Environment: Work in a high-growth scale-up environment where we combine flexibility with scalable processes to meet the complex demands of global Retail and AdTech industries
- Flexible Work Policies: Hybrid work environment with the flexibility to balance your personal and professional life
- Employee Participation Plan: Benefit from our employee participation plan, so your success is directly tied to our company’s success
- Self-Development Budget: Get your own budget for professional development, learning, and growth
#AdTech #Ad_Platforms #Retail_Media
Worauf der Kunde Wert legt
Gewichtung im Self-Assessment
So bewirbst du dich
1
Self-Assessment für diese Rolle, rund 30 Minuten
2
Wir prüfen dein Profil fachlich
3
Vorstellung beim Kunden, nur mit deiner Zustimmung
Deine Ansprechperson
Tinatin Rekhviashvili
Inhouse Talent Acquisition Manager
Bewerbung
Klingt nach dir? Dann los.
Drei Angaben reichen. Wir melden uns innerhalb von zwei Werktagen und schicken dir das Self-Assessment (ca. 30 Minuten).
Deine Bewerbung für
diese Rolle
Bewerbung ist da.
Danke dir. Wir prüfen dein Profil und melden uns innerhalb von zwei Werktagen.
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