Technical Solutions Enablement Engineer

In this role, you will develop expertise in our emerging technologies, and partner with teams across the company to ensure that our customers and pre-sales organizations have what they need to be successful. This is a cross-functional role, situated in our Applied AI Engineering group, focused on field and customer enablement in partnership with our Product, Engineering, and Sales Enablement teams.

• Partner with our Product and Engineering teams to understand and influence the direction of our emerging products.

• Act as an SME for a subset of our portfolio.

• Join customer meetings and work with our Solutions Engineers as an overlay/specialist.

• Act as the voice of the customer and our customer-facing teams and advocate for their needs with our Product and Engineering teams.

• Develop enablement collateral such as reference architecture diagrams, data sheets, and customer-targeted technical presentations for Solutions Engineering. 

• Collaborate with Sales Enablement to develop customer and sales facing collateral.

• Conduct internal training workshops for technical stakeholders.

• Develop and maintain awareness of emerging technologies and trends relevant to your product area.

You 

• 8+ years total experience.

• 5+ years pre-sales engineering experience.  

• Strong sense of customer advocacy and ownership.

• A skilled communicator able to tailor messaging based on target audience and medium.

• Experience in one or more of the following: technical writing/documentation, training development and delivery, product (engineering, marketing, or management).

• Self-directed and able to operate with low supervision in highly dynamic environments. 

• Able to build and maintain relationships across the organization.

• Able to drive consensus in complex cross-functional groups.

Nice to Have

• Experience in the Cloud/Hyperscaler space.

• Experience in customer success and/or support roles is a plus. 

• Experience using deep learning frameworks such as TensorFlow or PyTorch.

• Experience deploying generative AI/ML applications.

• Experience with LLM training and/or inference architecture.

• Experience designing, implementing and maintaining large-scale HPC infrastructure in cloud and hybrid environments.

• Experience working with RESTful API and general service-oriented architecture.

Salary Range Information 

Based on market data and other factors, the salary range for this position is (Base salary ranges from $162,000 to $235,000 plus variable sales target earnings). However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.