Solutions Engineer (Bay Area)

Solutions Engineer, Relyance AI

Relyance AI is seeking a Solutions Engineer to join our team! In this role, you'll be the technical subject matter expert (SME) for our cutting-edge privacy & data governance platform, empowering our Sales team to introduce and implement our "first-of-a-kind solution" to enterprise customers. You'll play a crucial role in the sales cycle, leveraging value selling to demonstrate the significant business impact of our platform to key stakeholders.

You'll engage directly with prospective customers, delving into their unique data privacy challenges and showcasing how Relyance AI's platform stands apart from the competition. A key aspect of your role will be building deep technical relationships with VPs of Engineering, IT, CISOs, Security leaders, and other stakeholders, ensuring they fully grasp and approve of Relyance AI's technology. You'll also continuously deepen your understanding of our Machine Learning-driven platform and help customers seamlessly integrate and comprehend it within their specific business environments.

What You'll Do:

• 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.

What You'll Bring:

• 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.

Bonus Points For:

• Experience with privacy technology.


• Startup experience.


• An advanced technical degree.

Our Culture:

At Relyance AI, we pride ourselves on fostering an unreasonably hospitable and data-driven culture. We are dedicated to exceeding customer and team expectations in every interaction. This means empowering our team members to proactively solve problems with informed decisions, crafting personalized experiences, and radiating enthusiasm. We believe in trust and freedom, enabling creative solutions, while a shared purpose and recognition fuel a drive for greatness. We deconstruct failures to learn and grow, and we celebrate our successes with pride.

Relyance AI is an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. Our compensation practices are fair and equitable, driven by data to ensure our offerings are competitive and our team members are compensated correctly based on their roles, experience, and location. As such, the On-Target Earnings (OTE) for this role are expected to be between $157,000 and $190,000, which includes a base salary and variable compensation.