Holded
Product Owner (CRM)
OnsiteBarcelona, SpainApplications closedB2B SaaSAI/ML
Our Take
Build intuitive business software for entrepreneurs at Holded.
What you’ll do
- Develop product vision with C-level and stakeholders
- Own CRM & Projects module strategy and roadmap
- Prioritize backlog and manage trade-offs
- Lead discovery via customer interviews and data
- Partner with engineering, design, and data squads
- Define success and AI quality metrics
- Design AI-driven user experiences
What they’re looking for
- Product strategy and roadmap ownership
- Backlog prioritization and trade-off management
- Customer and data-driven discovery
- Agile cross-functional squad collaboration
- Define success and AI quality metrics
- Design AI-resistant user experiences
What you get
- Offer passion, creativity, and commitment
Skills & Focus Areas
- roadmap
- backlog prioritization
- agile
- user stories
- discovery
- A/B testing
- prototyping
- AI integration
As posted by Holded
Join the team. Make an impact.
At Holded, we believe that daily admin should never stop a great idea from becoming a success. That's why we create intuitive software to empower anyone who dares to start their own business. Long story short: we want to make business simple.
In order to create cutting-edge products that meet the needs of the sector, talent is essential. We are looking for passion, creativity, and commitment. In return, we offer the same.
The Role
As a Product Owner, you will develop the product vision by working closely with C-level and stakeholders and transmit it to our skilled engineering team. Your main responsibilities will be:
Take over the roadmap, decisions and learnings from the outgoing PO, and shape your own read of the product state in your first weeks.
Own the strategy and roadmap of the CRM module, balancing adoption improvements, competitive gap closing, and AI integration.
Prioritize the backlog and manage trade-offs between new features, experience improvements, product debt and progressive AI capability integration.
Lead discovery through customers and data: interviews, quantitative analysis, prototyping, and A/B experimentation.
Partner daily with an existing cross-functional squad (engineering, design, data) in an agile setup, refining user stories and accepting deliverables.
Define success metrics (adoption, retention, business impact) and AI-specific quality metrics (accuracy, latency, human fallback).
Design experiences that hold up against the probabilistic nature of AI outputs: fallbacks, edge cases, and user expectations.