Technical Customer Success Manager
New
H
HubtypeSaaS, Conversational AI
Barcelona, SpainFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English, Spanish, Catalan
- Experience
- 3–5 years
- Required Skills
- Project ManagementArtificial IntelligenceData AnalysisOAuthRESTful APIsJSONCustomer SuccessSaaS
Requirements
- 3–5 years in Customer Success, Technical Account Management, Solutions Consulting or Project Management in a SaaS / tech environment.
- Confidence discussing APIs, webhooks, integrations, JSON, OAuth and SaaS architectures.
- Strong analytical mindset; able to gather, structure and document technical and functional requirements.
- Proven track record managing complex delivery projects with multiple stakeholders.
- AI-native mindset: hands-on with ChatGPT, Claude, Copilot, agents and automations.
- Full professional fluency in English, Spanish and Catalan, written and spoken.
- Ability to lead meetings confidently with executives, business owners and developers.
- Data-driven: comfortable with dashboards and customer KPIs.
- Ownership & autonomy: thrives in a fast-paced, hands-off, async environment.
Responsibilities
- Own a portfolio of strategic accounts as their main point of contact across the full lifecycle.
- Lead project delivery: scoping, planning, coordinating internal and client teams, managing timelines, dependencies, risks and deliverables.
- Run discovery sessions with customers to understand business goals, use cases and technical context.
- Translate customer needs into clear, structured requirements that engineering can act on, and translate technical decisions back into business language for the customer.
- Act as the bridge between the customer and Hubtype's engineering, product and solutions teams.
- Analyze customer data and project status to identify blockers, anticipate issues and surface opportunities.
- Drive adoption, monitor account health and identify upsell and expansion opportunities.
- Run QBRs, executive reviews, trainings and workshops with both business and technical stakeholders.
- Use AI tools daily to scale work: drafting, research, summarization, analysis, documentation and automation.
- Capture customer feedback and feed it into the product roadmap.
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