Customer Solutions Architect – Post-Sale, Enterprise
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Job Description
Customer Solutions Architect handling post-sale delivery for enterprise customers in LATAM. Focused on successful AI implementation and customer satisfaction through ongoing support and optimization.
Responsibilities:
- Own post-sale delivery for enterprise customers from onboarding through long-term expansion
- Build deep understanding of customer goals, workflows, and operational context
- Act as the primary post-sale point of contact and trusted advisor
- Architect and deploy AI Recruiter implementations
- Design and configure AI agents (voice, chat, messaging)
- Build and optimize messaging workflows and automation
- Guide ATS/CRM integrations and data-driven workflows
- Translate business requirements into scalable system designs
- Run solutioning, optimization, and strategy calls independently
- Recommend phased approaches and tradeoffs
- Ensure strong adoption of initial AI Recruiter deployments
- Expand usage over time into additional AI agents and workflows
- Identify expansion opportunities through success, not forced selling
- Drive high net revenue retention through trust and outcomes
- Partner closely with product and engineering teams
- Share customer patterns, feedback, and best practices
- Help shape playbooks, templates, and scalable solutions
Requirements:
- Experience owning post-sale enterprise or strategic customer relationships
- Strong systems and workflow thinking
- Comfort operating without a predefined playbook
- Ability to design solutions, not just execute instructions
- Experience with SaaS platforms, integrations, automations, or APIs
- Confidence communicating with U.S. customers in fluent English
- Ability to say “no” or “not yet” when appropriate—and explain why
Benefits:
- Ownership over high-impact enterprise customer relationships
- Direct collaboration with founders and engineering leadership
- Real influence on product direction and customer outcomes
- A fast-growing AI company where success, not selling, drives expansion
- The opportunity to help define how AI is adopted in staffing at scale
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