Automation Anywhere
Customer Renewals Specialist
US CA San Jose - River Oaks Pkwy
Work authorization required$120k-$150kDetected 30 days ago
Agentic AICRMSalesNegotiationOutbound SalesExcelCustomer SuccessCommunicationProblem Solving
About the role
- Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.
- In this role, you'll be responsible for managing and negotiating complex, high-value renewal contracts (typically $3M-$5M), working with senior business and technical stakeholders.
- Your background in renewals owning and driving renewal outcomes for a portfolio of enterprise accounts, particularly within the SaaS or subscription space, will set you up for success.
Responsibilities
- If you're ready to join a dynamic team, drive revenue growth, and make a measurable impact, we want to hear from you!
- Working closely with Customer Success, Sales, Contract Ops, and Support teams to stay updated with customer issues and problems affecting customer retention
- Drive, conscientiousness, and perseverance to conduct outbound sales contacts daily
Nice to have
- 4+ years of Renewal or Customer Retention experience
- Experience in pricing and negotiating enterprise-sized contracts
- Experience using Salesforce.com as CRM required
- Software Sales experience
- SaaS or subscription sales is preferred
- Experience and knowledge of AI, Automation, and/or APA preferred
Compensation
- 12 holidays off per year
- Eligible for 4 company Achievement days off per year
Benefits
- Unlimited Personal Time Off
- 4 days volunteer time off per year
- Variety of health care and well-being benefits
- Paid family/parental leave
- Team-oriented with the ability to succeed in an entrepreneurial environment
- Flexible work schedule / remote roles
Company info
- Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.
- Our opportunity:
- As a Customer Renewal Specialist at Automation Anywhere, the leader in Agentic Process Automation (APA), you'll play a pivotal role in ensuring our clients continue to maximize value from our innovative, industry-leading solutions. In this role, you'll be responsible for managing and negotiating complex, high-value renewal contracts (typically $3M-$5M), working with senior business and technical stakeholders. Your background in renewals owning and driving renewal outcomes for a portfolio of enterprise accounts, particularly within the SaaS or subscription space, will set you up for success. If you're ready to join a dynamic team, drive revenue growth, and make a measurable impact, we want to hear from you!
- Who you'll report to:
- Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation.
- Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance.
- As a Customer Renewal Specialist at Automation Anywhere, the leader in Agentic Process Automation (APA), you'll play a pivotal role in ensuring our clients continue to maximize value from our innovative, industry-leading solutions.
- This role reports to Sr.
- Manager, Customer Retention
- San Jose, CA Office- 3 to 4 days in office
Visa & Work Authorization
- At this time, we typically do not offer visa sponsorship for this position.
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This listing is sourced directly from Automation Anywhere's careers page and normalized into a canonical job model.