Account Executive, Enterprise
1PasswordFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
The position is hybrid and available in San Francisco, New York City, Austin, Chicago, and London.
Candidates need 5+ years of experience in a B2B SaaS sales role focused on Enterprise (6k+ employees), with a demonstrable track record of success in closing enterprise deals. Experience selling to leadership in marketing, brand, or product within Fortune 1000 companies is a plus.
Writer is a rapidly growing company recognized as one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, with over 250 employees across office hubs in San Francisco, New York City, Austin, Chicago, and London.
A strong candidate has 5+ years in B2B SaaS enterprise sales to large companies (6k+ employees), a proven track record of closing deals, and qualities like a positive attitude, curiosity, and the ability to build internal champions.
AI platform for business process optimization
Writer.com provides a platform that uses artificial intelligence to enhance business processes for various clients, including major companies. The platform integrates Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning (ML) to tailor AI solutions to a client's specific brand and knowledge. LLMs generate human-like text, NLP helps computers understand human language, and ML enables learning from data. Writer's platform is built on secure, enterprise-grade LLMs called Palmyra, which are designed to be open and transparent, ensuring that client data is never used for training. This allows clients to self-host the models, giving them control and visibility over their data. The platform assists businesses in speeding up processes and generating customized outputs, such as summaries and insights, while adhering to legal and brand guidelines. Writer.com operates on a subscription-based model, where clients pay a recurring fee for access to its features.