Solutions Architect
As a sales team member the Solutions Architect candidate is a dynamic and hardworking technical professional with experience in successfully selling disruptive IT Solutions to the HPC and AI markets. This individual must maintain highperformance levels through direct actions that drive revenue in alignment with DataCores GotoMarket strategy. The successful candidate will engage in the full sales process leveraging their technical skills and experience to deliver results.
Duties:
- Capable of translating and properly articulating DataCores valuable technical solutions suite into customerfocused propositions
- Collaborates directly with reseller and technical partner teams to accurately define solutions that solve customer pain points in the research and AI communities
- Acts as a liaison by managing and supporting all aspects of technical product evaluations at customer sites
- Works collaboratively with sales product development engineering and marketing to produce enhancements as well as develop recommended installation configurations based on customer feedback
- Acts as a significant contributor to and reviewer of RFPs RFQs and RFIs
- Liaising with the stakeholders in the Dell development labs to assist in benchmarking and customer POC
- Partners with Engineering as it pertains to installation configuration and testing of database applications as well as test and performance tools and regular assessment of the quality of our services
- Acts as a subject matter expert by producing content as well as delivering it through technical products solutions and architecture presentations (including collaterals and handson labs) to DataCore partners
- Creates customer case studies and provides input to technical white papers
- Represents DataCore at conferences tradeshows and other industry events
- Travel to meet with partners prospects and customers in the US
Knowledge Skills & Abilities:
- Indepth technical knowledge of High performance storage especially Parallel Filesystems NAS SAN and object storage in a Research Storage environment 4 years)
- Technical knowledge of public cloud storage services and their advantages and disadvantages
- Handson experience with Linux system administration 4 years)
- Demonstrated success driving business with enterprise customers including the ability to navigate complex organizational structures
- Knowledge or understanding of user authentication protocols such as LDAP and Active Directory
- Setting up and running offline tradeshow demos using virtual machines
- Knowledge of HPC and AI workflows 4 years
- Excellent verbal and written communication skills with all levels of technical and nontechnical people
Education/Experience:
- Bachelors degree in a technical field Computer Science degree or equivalent experience)
- 812 years of successful related experience working with Customers and Partners in Tier 1 or Tier 2
- 812 years of experience selling software and/or storage solutions
- Proven ability to work on crossfunctional teams
- Experience with HPC and AI Workflows
- Ability to communicate the difference between public cloud services onpremise object storage and hybrid cloud workflows for HPC and AI use cases
- Familiarity with the use and value of metadata in HPC and AI workflows
- Operating environments: Linux Windows Mac (limited)
- Travel up to 25
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job the employee is occasionally required to stand; walk; sit; use hands to handle or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds.
DataCore Software is an equalopportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race color sex religion sexual orientation national origin disability genetic information pregnancy or any other protected characteristic as outlined by federal state or local laws.