Customer Success Manager, Japan at Dialpad

Tokyo, Japan

Dialpad Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, SaaS, TelecommunicationsIndustries

Requirements

  • 2-5 years of experience in Customer Success, Sales, Support/Service, or customer-facing roles
  • Technically curious about SaaS-based Business Solutions
  • Strong presentation, meeting facilitation, and written communication skills
  • Willingness to travel to customer locations
  • Excellent time management and organizational skills with the ability to track numerous details

Responsibilities

  • Attend BaseCamp, the Revenue Org onboarding program, to learn about the company, product, internal systems, and CS approach
  • Work closely with manager and teammates to get up to speed on CS processes, toolset, customer base, etc
  • Get to know cross-functional partners like Sales, Product, and Support
  • Familiarize yourself with your book of business using qualitative and quantitative data and begin getting introduced to customers by teammates
  • Establish a regular cadence with customers to stay aligned on business goals, product updates, etc
  • Dig into the product as you receive specific questions from customers
  • Conduct Business Reviews with customers to demonstrate value, get to know key stakeholders, and identify growth opportunities
  • Act as the “voice of the customer” by funneling feedback to Product and others
  • Oversee customers’ adoption, training, and development of best practices to drive incremental value and ROI
  • Manage escalations by documenting open issues, facilitating regular status meetings, and working cross-functionally to resolution
  • Track accounts to identify churn risks and work proactively to mitigate those risks

Skills

Customer Success
Account Management
Communication
Meeting Facilitation
Cross-Functional Collaboration
Problem Solving
Cloud Telephony
AI Platforms

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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