Lead Solutions Engineer - Enterprise AI (Remote)

Bot Jobs; Indiana (PA); Remote; USD 219,000 - 250,000; Full time

Job summary

Parloa is seeking a Lead Solutions Engineer to drive revenue by owning the full technical sales process for enterprise prospects across the US, remote.

You will design scalable architectures, deliver tailored demos, and address security/compliance; collaborate with Product, Sales, and Success, with 20–30% travel as needed.

The role requires 7–10+ years in solutions engineering, mastery of MEDDPICC, CCaaS/UCaaS, cloud stacks, APIs, and Generative AI; strong presenting skills.

Qualifications

• 7-10+ years of experience as a Solutions Engineer, preferably at a SaaS vendor.
• Strong grasp of enterprise sales processes and MEDDPICC framework.
• Deep experience in CCaaS/UCaaS, VoIP, and telephony.
• Deep knowledge of Azure, AWS, and GCP with API integrations.
• Working understanding of Generative AI and prompt engineering.
• Confident presenter to technical and executive audiences; partnerships a plus.

Responsibilities

• Technical sales leadership across accounts and campaigns, guiding deals from evaluation to commitment.
• Build tailored demos and PoV across voice and chat, showing integrations with customer systems.
• Design scalable architectures addressing data security and compliance for enterprise IT.
• Advocate for customer needs in product roadmap discussions with cross-functional teams.
• Improve internal processes and represent Parloa at client on-sites and events (20-30% travel).

Skills

MEDDPICC

CCaaS/UCaaS

Azure/AWS/GCP

APIs

GenAI prompts

Executive presenting

Partner ecosystems

Job description

Parloa is seeking a Lead Solutions Engineer to drive revenue by owning the full technical sales process for enterprise prospects across the US, remote.

You will design scalable architectures, deliver tailored demos, and address security/compliance; collaborate with Product, Sales, and Success, with 20–30% travel as needed.

The role requires 7–10+ years in solutions engineering, mastery of MEDDPICC, CCaaS/UCaaS, cloud stacks, APIs, and Generative AI; strong presenting skills.