Super.AI
Enterprise Sales Account Executive(m/w/x)
Full-timeOn-siteManagement
Berlin
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Driving commercial adoption of tabular foundation models for structured data ML. 3+ years in full-cycle AE role with deep tech experience required. Meaningful equity, state-of-the-art ML architecture.
Requirements
- 3+ years in full-cycle AE role
- Experience in data infrastructure, ML tooling, developer tools, or deep tech company
- Track record closing enterprise and mid-market deals
- Experience with technical buyers (data scientists, ML engineers, engineering leadership)
- Strong technical literacy
- Credible conversation with ML team
- Proven outbound execution
- Pipeline generation from scratch
- Builder mentality
- Proactive playbook development
- Hands-on experience with data science or ML workflows
- Background selling to ML platform teams
Tasks
- Drive commercial adoption of foundation models
- Shape sales strategies and processes
- Own full sales cycle for enterprise and mid-market accounts
- Collaborate with commercial founder and experienced team
- Conduct outreach and discovery with technical buyers
- Navigate buying committees and develop proposals
- Close deals and drive revenue outcomes
- Create successful outbound materials and messaging
- Qualify inbound leads and identify opportunities
- Run discovery calls and product demos
- Develop tailored business cases
- Understand and communicate product technical value
- Shape messages and outreach sequences for technical personas
- Define qualification criteria and objection handling
- Bring field intelligence back to the team
- Iterate on targeted campaigns based on results
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Data infrastructure
- ML tooling
- Developer tools
- Deep tech
- Data science workflows
- ML workflows
- ML platform teams
Benefits
Other Benefits
- Meaningful equity
- World-class team
- Comprehensive benefits
- Relocation support
Modern Equipment
- State-of-the-art ML architecture
- Substantial compute resources
Team Events
- Annual company-wide offsites
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Prior Labs and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Driving commercial adoption of tabular foundation models for structured data ML. 3+ years in full-cycle AE role with deep tech experience required. Meaningful equity, state-of-the-art ML architecture.
Requirements
- 3+ years in full-cycle AE role
- Experience in data infrastructure, ML tooling, developer tools, or deep tech company
- Track record closing enterprise and mid-market deals
- Experience with technical buyers (data scientists, ML engineers, engineering leadership)
- Strong technical literacy
- Credible conversation with ML team
- Proven outbound execution
- Pipeline generation from scratch
- Builder mentality
- Proactive playbook development
- Hands-on experience with data science or ML workflows
- Background selling to ML platform teams
Tasks
- Drive commercial adoption of foundation models
- Shape sales strategies and processes
- Own full sales cycle for enterprise and mid-market accounts
- Collaborate with commercial founder and experienced team
- Conduct outreach and discovery with technical buyers
- Navigate buying committees and develop proposals
- Close deals and drive revenue outcomes
- Create successful outbound materials and messaging
- Qualify inbound leads and identify opportunities
- Run discovery calls and product demos
- Develop tailored business cases
- Understand and communicate product technical value
- Shape messages and outreach sequences for technical personas
- Define qualification criteria and objection handling
- Bring field intelligence back to the team
- Iterate on targeted campaigns based on results
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Data infrastructure
- ML tooling
- Developer tools
- Deep tech
- Data science workflows
- ML workflows
- ML platform teams
Benefits
Other Benefits
- Meaningful equity
- World-class team
- Comprehensive benefits
- Relocation support
Modern Equipment
- State-of-the-art ML architecture
- Substantial compute resources
Team Events
- Annual company-wide offsites
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Prior Labs and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Prior Labs
Industry
IT
Description
The company is building breakthrough foundation models that understand structured data, aiming to revolutionize scientific discovery and business intelligence.
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