Description
Your Role
As a Forward Deployment Engineer at Dialpad, you will be part of a team that accelerates the adoption and realization of value from Dialpad's AI platform by embedding within strategic customer accounts. You will translate complex business challenges into production-ready, high-impact Agentic AI systems.
Responsibilities
- Business Translation and Discovery: Embed with customer stakeholders to understand their complex business problems and translate them into clear, shippable Agentic AI-powered solutions.
- The Go-To-Market Bridge: Partner with Sales, Sales Engineers, Professional Services, and Customer Success teams to serve as the deep technical authority during pre-sales evaluations and post-sales deployments.
- Product Alignment and Influence: Capture common customer pain points and deliver this signal back to core Product and Engineering teams to influence the product roadmap.
- AI Envisioning: Integrate Dialpad's platform with complex enterprise infrastructure and guide customers on production-grade Agentic bot builds.
- Agentic AI Design: Design and deploy complex multi-agent systems, architectures, and fine-tuned models tailored to the customer's unique data, domain, and security requirements.
Skills You'll Bring
- 4+ years of experience in a high-impact, customer-facing technical role.
- Deep expertise in the modern AI/ML stack: LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks.
- Unrivaled Business Acumen: Simplify technical complexity and communicate clear trade-offs, value propositions, and project plans.
- You thrive in ambiguity, take full ownership of outcomes, and are driven by delivering tangible, measurable results.
Why Join Dialpad
- Work at the center of the AI transformation in business communications.
- Build and ship agentic AI products that are redefining how companies operate.
- Join a team where AI amplifies every employee's impact.
- Competitive salary, comprehensive benefits, and real opportunities for growth.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/dialpad/jobs/8499622002