about 6 hours ago
Base Salary
$180k - $200k/yr
Responsibilities
- Enable partners to confidently position, demo, and implement Parloa’s platform.
- Lead technical discovery and translate business needs into scalable AI agent solutions.
- Support POCs, demos, and technical validations to drive successful deal progression.
- Act as a hands-on advisor in designing solution architectures using Parloa’s platform.
- Build partner capabilities to independently drive high-quality opportunities.
- Partner closely with Sales and Partnerships to support partner-led and co-sell motions.
- Shape solution design to align technical feasibility with customer and commercial goals.
- Communicate complex technical concepts clearly across technical and business audiences.
- Drive technical win conditions throughout the deal lifecycle.
- Build and maintain strong relationships with strategic and emerging partners.
- Identify and develop expansion opportunities across use cases, customers, and regions.
- Act as a bridge between partners and internal teams.
- Support development of scalable enablement assets and best practices.
- Capture and translate partner and customer feedback into actionable product insights.
- Identify trends, gaps, and opportunities to inform roadmap and go-to-market strategy.
- Collaborate cross-functionally to refine messaging, positioning, and solution approach.
- Contribute to scaling Parloa’s partner ecosystem as a core growth channel.
Requirements
- 8+ years of experience in Solutions Engineering, Solutions Consulting, or a similar pre-sales role, ideally in SaaS, AI, CCaaS, or enterprise software.
- Strong technical foundation comfortable leading discovery, solution design, and technical validation.
- Ability to balance hands-on technical depth with high-level solution storytelling and business value articulation.
- Experience in enterprise sales environments, aligning technical solutions to commercial outcomes.
- Strong communication skills to engage both technical audiences and senior business stakeholders.
- Proactive, collaborative approach to enabling partners, customers, and internal teams.
Categories
AI & MLData Science
