Neara
Account Executive - USA (East Coast)
New York. Posted 4 months ago
The role
This person will own outbound pipeline generation and partner with Enterprise AEs across the full sales cycle. They will translate technical functionality into business value and navigate complex enterprise buying processes.
What you will do
- Own outbound pipeline generation through cold calls, email, LinkedIn, and creative outreach
- Partner with Enterprise AEs across the full sales cycle
- Prepare and deliver presentations, RFP responses, and tailored follow-ups
- Translate technical functionality into focused business value
- Navigate complex enterprise buying processes by identifying stakeholders and managing multi-threaded deals
- Run discovery calls to surface business impact and build value narratives
- Apply a value-based selling approach to uncover customer pain points
- Stay sharp on market trends, competitive dynamics, and customer feedback
Required qualifications
- 3–6 years of full sales-cycle experience in B2B SaaS selling complex technical solutions, or in a consulting role
- Communicates clearly at every level of an org, from the C-suite to technical stakeholders
- Experience managing complex enterprise deals with multiple stakeholders and long sales cycles
Nice to have
- Understanding of modern sales methodologies and how to apply them situationally
Benefits
- Equity ownership through a competitive Employee Stock Option Plan (ESOP)
- Significant career development and growth opportunities
- Highly meritocratic, non-bureaucratic, and low ego work culture
- The opportunity to work on complex, meaningful products and real-world problems
- The opportunity to play a direct, critical role in the trajectory of a high-growth company
Before you apply
- You will require current and unrestricted working rights
- We are not in a position to offer visa sponsorship at this time
About the company
Neara uses advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents. The team utilizes AI and machine learning to accelerate data classification and complex scenario analysis.