Sr. Sales Engineer at Dialpad

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SaaS, CommunicationsIndustries

Requirements

Technical curiosity and excitement about delivering technology solutions that delight customers and solve business problems
Demonstrated experience and expertise in UCaaS, CCaaS, and AI technologies (5-8 years preferred)
Enterprise-level Sales Engineering experience with a SaaS, UCaaS, or CCaaS company
In-person demo experience and comfort with public speaking engagements
Experience working with C-level and Executive-level prospects and customers
Experience dabbles in scripting languages such as JavaScript and Python
Fundamental traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic
Complete a Sales Engineering Demo Certification

Responsibilities

Own running demos and proof of concepts, including gathering success criteria, system configuration, admin training, user training, and troubleshooting
Work closely with Account Executives to identify key customer requirements and present Dialpad solutions that meet those requirements
Build technical relationships with prospects
Deliver compelling product demonstrations
Run high-touch proof of concepts
Learn the many technical tools the Sales Engineering team uses to test network environments
Partner with the Enterprise Sales team throughout the entire sales process
Provide technical closure in sales opportunities
Possess in-depth knowledge of Dialpad’s products and services and relate it understandably to non-technical customers
Provide pre-sales technical support for all Dialpad products and services, aligning with Sales, Product, Engineering, Customer Success, Support, and management

Skills

Sales Engineering

Product Demos

Proof of Concepts

System Configuration

Admin Training

User Training

Troubleshooting

Customer Requirements

Technical Sales

Dialpad

AI platform for customer engagement and collaboration

About Dialpad

Dialpad offers an AI-powered platform designed to enhance customer engagement, sales, and team collaboration. Its key features include real-time transcription of conversations, sentiment analysis to gauge the mood of discussions, live coaching for sales representatives, and predictive customer satisfaction (CSAT) scores to forecast client satisfaction. This platform serves a diverse clientele, from small businesses to large corporations, and operates on a subscription-based model. Dialpad distinguishes itself from competitors through its rapid product innovation and strong partnerships, such as its collaboration with the Sacramento Kings basketball team, which includes community programs like The Huddle Lab for young entrepreneurs. The company has received recognition from G2 in various categories, including Unified Communications as a Service (UCaaS) and Contact Center as a Service (CCaaS). Dialpad's goal is to leverage AI to improve customer service and sales effectiveness.

San Ramon, CaliforniaHeadquarters

2011Year Founded

$437.7MTotal Funding

LATE_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Flexible Work Hours

Phone/Internet Stipend

Gym Membership

Professional Development Budget

Risks

Emerging AI-driven platforms could erode Dialpad's market share.

Integration challenges from Surfboard acquisition may disrupt operations.

Rapid AI advancements could render Dialpad's offerings obsolete if not updated.

Differentiation

Dialpad offers real-time transcription and sentiment analysis, enhancing customer interactions.

Its AI-powered platform supports sales, customer engagement, and team collaboration effectively.

Dialpad's continuous innovation and fast feature releases set it apart from competitors.

Upsides

Dialpad's acquisition of Surfboard enhances its workforce management capabilities.

Recognition as Google Cloud Technology Partner of the Year boosts Dialpad's credibility.

Launch of business-specific AI models provides a competitive edge in sales conversations.

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