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Deliver on Customer Success program strategy specifically associated with BlackLine onboarded customer as it relates to assigned customers
Track, validate, and provide feedback to AM team to ensure the customer moves through the entire BlackLine journey after initial contract implementation
Deliver actionable advice, coaching and expertise regarding the features and usage of BlackLine's solutions to increase product adoption and to assist the Account Management team in license expansion
Expertly educate clients on existing and new product features and functionality, and how it can contribute to their business objectives
Perform Success Planning activities (Business Reviews, Success Reviews and Success Path creation) for onboarded clients to ensure BlackLine understands their corporate goals and objectives and the client understands their usage and the path forward to gain more efficiency with the solutions
Continually communicate BlackLine value to customer through the entire customer journey
Work as a team with sales executives and other departments on account planning focused on account expansion, reduction of license and product adoption whitespace, increased customer sentiment, and reduced churn risk
Perform effective, Success Reviews, Business Reviews, Success Reviews, customer advocacy activities, solution coaching and other adoption deliverables via webcasts, teleconferences and/or onsite visits
Address assigned client activities' impact on BlackLine and provide best practices
Keep current on all BlackLine solutions, including detailed product functionality and its proper use
Communicate competitive differentiation as needed to further opportunities and prevent churn
Identify and report on at risk clients, including impact on renewals, and guide customers through a successful Red-to-Green process
Participate in 1 or more Expert Team to provide feedback to Product Management team through the Customer Team Enhancement Process related to new functionality requests and specifications
Provide feedback to various internal customer teams to improve customer experience
Provide BlackLine best practices, use case scenarios and client stories both internally and externally (including Community) to assist other clients with expanded use of application functionality
Assist with the provision of customer references
Provide coverage, education, and application expertise by attending and participating in BlackLine Meet Ups, Client Roundtables, Customer Success Labs, Best Practice Summits, conferences, and other events
Acts as a SME in BlackLine Reconciliations
Log client communication and document relevant activities within internal customer relationship management software and other tools as assigned
Show passion for BlackLine application and desire to enhance customer satisfaction
Travel may be required
Other duties as assigned
Requirements
7+ years of experience in accounts receivable/credit management and/or in accounting/auditing/financial industry software solutions
Bachelor's degree in Accounting, Economics or Business Administration Master of Business Administration or equivalent
5+ years BlackLine Invoice-to-Cash experience required or equivalent
6 Years Customer facing experience (internal or external)
Updated knowledge of current accounting practices and changes in the industry
Knowledge of Gainsight, Salesforce CRM, etc.
Ability to deal with changing priorities and high-pressure situations with poise diplomacy and tact
Highly process-oriented mindset, with a love of telling stories with data
Strong interpersonal and consultative skills and proven results building relationships working as a Trusted Advisor to drive business value for customers
Excellent listening, diagnostic and empathy skills: you identify with the customer and want to help solve their problem
Strong verbal and written professional communication
Demonstrate natural strong presentation skills natural comfortable passion for presenting
Prioritization and time management skills
Self-motivated, proactive team player with a natural curiosity and passion for learning