Product Manager

Pixelz Inc

España

Híbrido

EUR 65.000 - 90.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Hybrid + Barcelona base
Cobee/Pluxee benefits

Descripción de la vacante

Pixelz is seeking a full-time Product Manager to join the Platform team in Barcelona. You’ll own discovery and delivery for platform and workflow features, collaborating with engineering, design and production operations to scale AI-generated content workflows.

You’ll translate customer needs into requirements, drive agile rituals, and balance customer outcomes with technical feasibility, data, and compliance considerations in a fast-growing SaaS environment.

Formación

  • 4+ years of experience as a Product Manager in SaaS or B2B platforms.
  • Experience in fashion, e-commerce, or AI is a plus.
  • Genuine interest in AI-enabled content generation and agentic AI workflows.
  • Familiarity with hypothesis-driven product methodologies and customer-backward thinking.
  • Strong technical fluency: APIs and databases; comfortable challenging engineering.
  • Excellent written and spoken English; able to translate between technical, business and customer audiences.

Responsabilidades

  • Own discovery and definition for platform features, with focus on AI-generated content workflows.
  • Contribute to internal AI initiatives and agentic workflows.
  • Translate customer problems into requirements, stories and acceptance criteria.
  • Prioritize using data, UX research, and market signals, and explain trade-offs.
  • Collaborate with engineering on backend/API features and architecture.
  • Run agile ceremonies and keep the team focused on roadmap progress.
  • Advocate for customer-centric thinking across teams and stakeholders.

Conocimientos

Product management
APIs & databases
SaaS/B2B
AI awareness
English proficiency
Ambiguity tolerance

Descripción del empleo

Pixelz is hiring a full-time Product Manager to join the Platform team.

We’ve made the shift: from an AI-retouching company to a platform that helps e-commerce and fashion brands create, manage, and deliver visual content at scale. That means retouching, but also digital twins and virtual models, AI-generated backgrounds, and video — all running through the same platform and workflow engine. We’re also using AI internally to improve our own operations, including building AI agents into our tooling. This role touches both sides: customer-facing product and the internal systems that make our production engine faster and smarter.

You’ll own discovery and delivery for platform and workflow features, working across engineering, design, and our production operations. You’ll need to understand both sides of the business: the software layer customers touch, and the operational engine (workflow logic, quality control, volume at scale) that makes the software mean anything.

Responsibilities
  • Own discovery and definition for platform features, with a strong focus on AI-generated content workflows (image and video generation, virtual models, GenAI backgrounds) and how they integrate with production.
  • Contribute to internal AI initiatives, including agentic workflows and tools that improve how our own teams operate.
  • Translate customer problems into requirements, user stories, and acceptance criteria — working backward from the customer outcome, not from what’s technically convenient.
  • Make prioritization calls using real inputs: usage data, UX research, market signals, and operational constraints. Be able to explain the tradeoff, not just the decision.
  • Understand the compliance and regulatory landscape around AI-generated content (EU AI Act obligations, content provenance/watermarking standards like C2PA) well enough to factor it into product decisions early, not bolt it on after launch.
  • Work closely with engineering on backend and API features — you need enough technical depth to have a real conversation about architecture and tradeoffs, not just translate requirements.
  • Run the standard agile cadence (stand‑ups, sprint planning, backlog refinement) and keep the team focused on what actually moves the roadmap forward.
  • Push customer‑centric thinking into every team you work with — development and customer‑facing teams should hear it from you consistently, not just in a kickoff deck.
What We’re Looking For
  • 4+ years of experience as a Product Manager, owning products end‑to‑end from discovery to launch, ideally in a SaaS or B2B platform environment.
  • Experience in fashion, e‑commerce, or AI. Any of the three is fine — we’re not looking for all three at once.
  • Genuine interest in AI for content generation and in agentic AI workflows. This is most of what the role touches, not a side interest.
  • Familiarity with structured, hypothesis‑driven product methodologies — the kind built around working backward from the customer problem rather than starting from a solution.
  • Strong technical fluency — APIs, databases, you should be able to push back on engineering, not just take their word for it.
  • Developer empathy and a customer‑first instinct that shows up in how you write requirements, not just how you talk about them.
  • Strong written and spoken English. You’ll be translating between technical, business, and customer audiences regularly, so clarity matters more than polish.
  • Comfortable with ambiguity. We’re building the playbook for AI content generation at scale as we go — this isn’t a role with a fixed spec.
What We Offer
  • A full‑time role with real ownership, in an international team with a flat, direct culture — good ideas get heard regardless of title.
  • Flexible working time and a hybrid setup, based in Barcelona.
  • Real exposure to how an AI product platform gets built at production scale, not just in a deck.
  • Flexible compensation (Ticket Restaurant, Transport,…) by Cobee/Pluxee
  • Long‑term career development as the platform continues to expand.
About Pixelz
  • Founded in 2011 in Holstebro, Denmark, Pixelz started as “Remove the Background” — a simple way for ecommerce companies to get clean product images. Solving for fluctuating volumes, slow workflows, and inconsistent quality led us to build SAW (Specialist Assisted Workflow): breaking retouching into discrete steps, each assisted by AI. That same logic — human expertise plus AI, structured for scale — is now the foundation for the broader platform we’ve built beyond retouching.
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