Enterprise Account Executive, West (US)
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US
Company:
Anaconda is a leading provider of open-source technology for AI, enabling research and enterprise solutions.
Summary:
The Enterprise Account Executive will manage leads and acquire new business within the Western United States for Anaconda's enterprise market. Candidates should have extensive B2B SaaS sales experience and familiarity with Salesforce, residing in a PDT or MDT time zone.
Requirements:
Experience: 8+ years of B2B SaaS sales experience, Experience in closing diversified, multinational organizations, Experience using Salesforce for managing pipeline
Job Description:
Anaconda is seeking a talented Enterprise Account Executive to join our rapidly growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science, artificial intelligence, and machine learning. This role will cover a territory of the Western United States and ideal candidates will sit in PDT or MDT time zones.
What You'll Do:
- Manage and follow up with leads, manage prospects, and acquire new business in assigned territory for the Enterprise market through cold calling/outbound reach
- Develop and maintain a thorough knowledge of company products and pricing structure
- Utilize Salesforce.com for scheduling, pipeline reporting, developing prospective customer profiles, and documenting all sales-related activities
- Accurately and consistently forecast business in SFDC
- Maintain up-to-date and accurate account/opportunity information
- Account planning and forecasting for Enterprise accounts
- Calendar and meeting management
- Prospecting and closing to meet or exceed sales/revenue goals for assigned territory
- Participate in handoff calls with implementation
What You Need:
- 8+ years of B2B SaaS sales experience
- Experience in closing diversified, multinational organizations
- Strong writing and communication skills
- Ability to learn and assimilate technical information quickly
- Demonstrated flexibility, organization, and drive
- Experience using Salesforce for managing pipeline
- You embody our values of Clarity, Care and Candor
- You care deeply about fostering an environment where people of all backgrounds and experiences can flourish
- You sit in a PDT or MDT time zone
What Will Make You Stand Out:
- Technical sales experience specific to AI / Machine Learning or Data Science
- Experience working in a PLG (product-led growth) company or fast-paced startup environment
- Experience working in an open-source, AI, or data science-oriented company
Why You'll Like Working Here:
- Unique opportunity to translate strong open-source adoption and user enthusiasm into commercial product growth
- Dynamic company that rewards high-performers
- On the cutting edge of enterprise application of data science, machine learning, and AI
- Collaborative team environment that values multiple perspectives and clear thinking
- Employees-first culture
- Flexible working hours
- 100% remote
- Competitive benefits
The US base salary range for this role is $105,000 - $151,000 USD + variable commission structure based on sales performance + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed in each job posting reflects the minimum and maximum target salaries for the position across all US locations. Our salary ranges are determined by role, level, and location. The range displayed in each job posting reflects the minimum and maximum target salaries for the position across all US locations.
Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.
In addition to base salary, we offer a comprehensive benefits package that includes:
- Flexible Vacation Policy
- Medical, Dental, and Vision Insurance
- Short Term and Long Term Disability
- Paid Parental Leave
- Annual Remote Work and Wellness Stipend
- Employee Assistance Program and Mental Health Resources