AI Software Solutions Architect Engineer promoting and selling innovative AI software solutions at HP. Collaborating with business development to drive AI adoption and expanding customer base.
About the role
- Solutions Engineer at Relyance AI empowering enterprise sales through technical expertise in privacy solutions. Leading client engagements, technical demos, and architectural discussions with potential clients.
Responsibilities
- Lead in-depth architectural and solution design discussions to highlight how our platform addresses complex data privacy requirements.
- Cultivate and nurture technical champions within prospect and customer organizations, transforming them into advocates for Relyance AI.
- Collaborate closely with Account Executives to drive the sale of Relyance AI's data privacy platform to enterprise clients.
- Conduct compelling technical demonstrations and engage with diverse customer stakeholders, including CISOs, CIOs, IT, Security, and Engineering teams.
- Educate enterprise customers on the profound value proposition of Relyance AI's data privacy platform.
- Respond thoroughly and accurately to written technical requests.
- Serve as the vital technical liaison between customers, our engineering teams, and support.
- Develop and record insightful customer-facing artifacts that clearly articulate the core technological differentiators of the Relyance platform against competitors.
Requirements
- 4+ years of pre-sales experience as a technical lead, selling enterprise software solutions to enterprise accounts in a B2B setting.
- 3+ years of experience implementing and solution engineering SaaS solutions, particularly those with ML components.
- 1+ years of experience in designing, implementing, or consulting on distributed applications or systems architecture.
- 1+ years of experience working with RESTful APIs and general service-oriented architectures.
- Comfort and proficiency in presenting to and building relationships with C-level & VP-level executives across Legal, Privacy, Security, and IT.
- Working knowledge of cloud computing technologies and SQL/No-SQL data systems.
- A deep understanding of the various stages and nuances of the enterprise sales cycle.
Benefits
- Competitive salary
- Variable compensation based on performance
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