Growth & Sales AI Product Owner

TP

Portugal

Remote

EUR 90,000 - 120,000

Full time

5 hours ago
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Job summary

TP is seeking a seasoned Product Owner – AI Solutions (Growth & Sales) to own end-to-end product delivery for our AI-powered sales automation stack. You will oversee multi-year roadmaps, collaborate with commercial, operations, and external partners, and ensure scalable, secure digital solutions across global enterprise clients.

You will lead cross-functional teams of product managers, AI/ML engineers, developers, data engineers, and QA specialists, driving backlog, requirements, and staged

Qualifications

  • 6-10+ years of progressive experience in software product management.
  • 3+ years leading end-to-end technical delivery in Agile environments.
  • Experience collaborating with external vendors, SI partners, or co-development teams.
  • Hands-on experience with AI-enabled products and LLMs.
  • Certifications such as CSPO, SAFe PO, or PMP are advantageous.

Responsibilities

  • Own multi-year product roadmaps for Growth & Sales AI portfolios.
  • Translate high-friction workflows into scalable product offerings.
  • Lead cross-functional pods and coordinate with external partners.
  • Define BRDs, PRDs, user stories, and acceptance criteria.
  • Partner on pricing, packaging, and go-to-market alignment.

Skills

Product management
Agile / Scrum
Vendor management
CRM integrations
Generative AI / LLMs
User story writing
Backlog prioritization
Stakeholder management

Education

Bachelor's or Master's degree in Business, Computer Science, Engineering, or a related field

Tools

Salesforce
HubSpot
Microsoft Dynamics
Confluence

Job description

TP is seeking a seasoned Product Owner – AI Solutions (Growth & Sales) to own end-to-end product delivery for our AI-powered sales automation stack. You will oversee multi-year roadmaps, collaborate with commercial, operations, and external partners, and ensure scalable, secure digital solutions across global enterprise clients.

You will lead cross-functional teams of product managers, AI/ML engineers, developers, data engineers, and QA specialists, driving backlog, requirements, and staged

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