Sr. Sales Engineer
| Company | Tenstorrent |
|---|---|
| Location | Boston, MA, USA, Toronto, ON, Canada, Austin, TX, USA, Santa Clara, CA, USA |
| Salary | $100000 – $500000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Electrical Engineering or a related technical field.
- Strong customer-facing skills with 10+ years of relevant technical, customer-facing experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager).
- Strong proficiency in programming languages, particularly Python.
- Proven expertise in AI technologies, including machine learning, deep learning, natural language processing (NLP), and/or computer vision.
- Understanding of AI/ML frameworks such as PyTorch and TensorFlow, with expertise in Generative AI and LLM applications preferred.
- Experience selling AI and/or general purpose compute Hardware or Silicon IP.
- Excellent communication skills, both verbal and written, with the ability to explain complex concepts in a clear and concise manner.
- Passion for innovation and a proactive attitude towards learning and adopting new technologies.
Responsibilities
- Partner with the sales team to understand customer needs, tailor solutions, and deliver technical presentations that clearly explain the capabilities and benefits of our AI solutions.
- Engage directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions.
- Provide technical guidance and support during the sales cycle, ensuring that proposed solutions meet customer requirements and align with their business objectives.
- Assist customers in defining and designing AI-driven solutions that integrate seamlessly with their existing systems and workflows.
- Prepare technical documentation, including solution architectures, technical proposals, and requirements gathering reports.
- Work closely with the customer success engineering, sales operations and product teams to provide feedback from customers and help shape future product enhancements.
Preferred Qualifications
- Expertise in Generative AI and LLM applications preferred.