About the Role
This role is responsible for leading end-to-end sales cycles with strategic accounts, identifying executive-level opportunities, and delivering tailored technology solutions that address complex business challenges in data analytics and artificial intelligence.
Responsibilities
- Lead full-cycle sales engagements with large enterprise clients
- Develop and maintain executive relationships with key decision-makers
- Identify business challenges and align technology solutions to address them
- Collaborate with cross-functional teams to design customer-specific offerings
- Drive adoption of platform capabilities across client organizations
- Negotiate contracts and close high-value deals
- Maintain accurate sales forecasts and pipeline reporting
- Advocate for customer needs internally to influence product direction
- Deliver strategic account planning aligned with customer goals
- Stay current on industry trends and competitive landscape
- Present solutions to technical and business stakeholders
- Coordinate proof-of-concept initiatives and trials
- Expand existing account footprint through upsell and cross-sell
- Ensure customer success and long-term retention
- Leverage data insights to guide sales strategy
Nice to Have
- Experience selling data or AI platforms
- Background in industrial or manufacturing sectors
- Prior work with engineering or R&D organizations
- Knowledge of digital transformation initiatives
- Existing network in enterprise technology
Compensation
Competitive salary with performance incentives
Work Arrangement
Hybrid work model with flexibility based on role and location
Team
Part of a high-performing sales team focused on strategic enterprise clients
About the DOW R&E Team
This team focuses on serving the research and engineering divisions of large industrial enterprises, delivering advanced data platforms that accelerate innovation and product development cycles.
What You’ll Achieve
Drive measurable business outcomes by enabling clients to harness data for faster R&D, improved engineering workflows, and scalable AI deployment across technical teams.
Available for qualified candidates based on business needs
