Senior Solutions Engineer - Enterprise AI & CCaaS (20-30% Travel)

Parloa

United States

On-site

USD 170,000 - 210,000

Full time

33 hours ago
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Job summary

Parloa is seeking a Lead Solutions Engineer to drive revenue by owning the full technical sales process for enterprise prospects. You will deliver tailored demos and PoV experiences, design scalable architectures, and address data security and compliance, ensuring technical credibility from first demo to signed deal.

You will shape how customers adopt agentic AI, collaborate with Product, CS, and Sales, and travel to client sites to advocate and win complex enterprise deals in a fast-moving SaaS

Qualifications

  • 7-10+ years as a Solutions Engineer, preferably in SaaS with enterprise sales exposure.
  • Deep experience in contact center (CCaaS/UCaaS), VoIP and telephony.
  • Strong knowledge of enterprise stacks (Azure, AWS, GCP) and hands-on API integrations.
  • Working understanding of Generative AI and LLMs with prompt engineering.
  • Confident presenter with ability to engage technical and executive audiences.

Responsibilities

  • Lead technical stage of the deal cycle across enterprise accounts.
  • Build tailored demos and PoV to prove value and feasibility to stakeholders.
  • Design scalable architectures addressing data security and compliance requirements.
  • Advocate for customers to influence product roadmap and align with cross-functional teams.
  • Travel 20-30% to client sites and events as needed.

Skills

Solutions Engineer
Enterprise sales process (MEDDPICC)
CCaaS/UCaaS/VoIP
Cloud stacks (Azure,AWS,GCP)
Generative AI / LLMs
Effective presenter

Tools

Azure
AWS
GCP
APIs

Job description

Parloa is seeking a Lead Solutions Engineer to drive revenue by owning the full technical sales process for enterprise prospects. You will deliver tailored demos and PoV experiences, design scalable architectures, and address data security and compliance, ensuring technical credibility from first demo to signed deal.

You will shape how customers adopt agentic AI, collaborate with Product, CS, and Sales, and travel to client sites to advocate and win complex enterprise deals in a fast-moving SaaS

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