Strategic Enterprise AI Sales Executive

Blue Machines AI; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Blue Machines is building an enterprise-grade conversational AI platform and is expanding its North America GTM team from the ground up, including one of the first sales seats on the field in New York, NY.

You will own prospecting, manage relationships with enterprise customers, and negotiate and close complex deals. You will drive sales strategy, craft tailored proposals, and collaborate with product, marketing, and operations to scale revenue.

Qualifications

• 5+ years in strategic or enterprise SaaS sales with a track record of closing and expanding large deals.
• Experience managing a $1M+ quota and running end-to-end complex deals.
• Eligible to work in the United States.

Responsibilities

• Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling.
• Manage relationships: Build and maintain relationships with key decision-makers and stakeholders at enterprise customers.
• Negotiating & closing complex deal cycles: Lead negotiations, address objections, and close deals with legal and finance teams.
• Sales strategy & planning: Develop and execute sales plans to meet targets and create tailored proposals.
• Help define our sales motion: Contribute to GTM strategy and how the team operates.
• Collaborate cross functionally: Work with product, marketing, and operations to deliver the product to customers.

Skills

Enterprise SaaS sales

Closing complex deals

Quota management

Cross-functional collaboration

Job description

Blue Machines is building an enterprise-grade conversational AI platform and is expanding its North America GTM team from the ground up, including one of the first sales seats on the field in New York, NY.

You will own prospecting, manage relationships with enterprise customers, and negotiate and close complex deals. You will drive sales strategy, craft tailored proposals, and collaborate with product, marketing, and operations to scale revenue.