About Us:
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:
This role reports to Sr. Manager, Customer Retention
Location:
San Jose, CA Office- 3 to 4 days in office
You’ll make an impact by being responsible for:
- Meeting or exceeding assigned objectives and quotas for renewal business
- Working closely with Customer Success, Sales, Contract Ops, and Support teams to stay updated with customer issues and problems affecting customer retention
- Working closely with the Sales Team to track any upsell or cross opportunities and ensure renewals stay on track
- Identifying "at-risk" renewal clients early in the cycle and defining and addressing issues inhibiting a successful, timely renewal
- Educating and effectively communicating the value of company solutions to client decision-makers, including 'C-level' business leaders, technical staff, legal, security, and operations personnel in prospective accounts
- Maintaining, updating, and managing all Salesforce.com renewal opportunities
You will be a great fit if you have:
- 4+ years of Renewal or Customer Retention experience, carrying a quota
- 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
You excel in these key competencies:
- High problem-solving ability to learn and adapt quickly, while being a self-starter
- Team-oriented with the ability to succeed in an entrepreneurial environment
- Committed, enthusiastic, and coachable with a desire to thrive in a sales environment
- Strong presentation and communication skills (verbal, written, and listening)
- Drive, conscientiousness, and perseverance to conduct outbound sales contacts daily
The on-target earnings (base salary + on-target incentives) for this position is $120,000 - $150,000 a year. The salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, and abilities of the applicant in alignment with market data and other factors. This position is also eligible for equity and a full range of medical and other benefits.
Ready to Revolutionize Work? Join Us.
This is an opportunity to work with a global, passionate team pioneering technology that’s redefining the way people work, everywhere. Join us and discover the many ways that you can have an impact, achieve your potential, and go be great.
Job Segment/Keywords: SaaS, Enterprise, Agentic Process Automation, Customer Retention, Renewal, Contract Negotiation, Contract Pricing Negotiation, GenAI, APA, Customer Renewal Specialist, On-site, San Jose
#LI-DE1
Benefits and perks you’ll appreciate:
- Flexible work schedule / remote roles
- Unlimited Personal Time Off
- 12 holidays off per year
- 4 days volunteer time off per year
- Eligible for 4 company Achievement days off per year
- Variety of health care and well-being benefits
- Paid family/parental leave
- We are a designated “Best Place to Work” for 2 years in a row! Learn more here
- Newsweek’s Top 100 Most Loved Workplaces in America 2023 – Learn more here
Automation Anywhere is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected].
At this time, we typically do not offer visa sponsorship for this position. Candidates should generally be authorized to work in the United States without the need for current or future sponsorship.
All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.
Automation Anywhere San Jose, California, USA Office
633 River Oaks Parkway, San Jose, CA, United States, 95134
Automation Anywhere San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
