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Sr. Solutions Engineer

2 months ago

San Francisco, United States Relyance AI Full time

As Relyance AI’s Sr. Solutions Engineer, you will be the Sales team’s product and technical subject matter expert (SME) for Relyance AI’s privacy & data governance platform to enterprise customers and other organizations. You will actively help sell and adopt our “first of a kind solution” to new accounts by leveraging value selling as your fundamental approach to demonstrate the business value of our solution to key stakeholders in an organization. You will engage with future customers, understand their data privacy requirements, and differentiate Relyance AI’s platform from competitors to address their business problems. Specifically, you will be responsible for developing deep technical relationships at accounts with the VP of Engineering, IT, CISO, Security, and other stakeholders to ensure they have a technical appreciation and approval of Relyance AI technology. One foundational aspect of the role will be continuously learning about our Machine Learning driven technology platform and helping customers both adopt and understand it in the context of their business environment.

As a Sr. Solutions Engineer, your role will include:

  • Leading deep architectural and solution design discussions to highlight our ability to address data privacy requirements.
  • Building relationships and cultivating technical champions within prospects and customers to enable them to be advocates for Relyance.
  • Partnering with Accounts Executives to sell Relyance’s data privacy platform to Enterprises.
  • Running technical demos and interacting with customer stakeholders, including CISOs, CIOs, IT, Security, Engineering, etc.
  • Educating Enterprise customers on the value proposition of Relyance AI’s data privacy platform.
  • Responding to written technical requests.
  • Acting as a technical liaison between customers, engineering teams, and support.
  • Writing and recording customer-facing artifacts that summarize, highlight, and emphasize the core technological differences about the Relyance platform as opposed to competition.

This role could be a fit for you if you bring:

  • 6+ years of experience in pre-sales as the technical lead on a team selling an enterprise software solution to Enterprise accounts in a B2B capacity.
  • 5+ years of experience implementing and solution engineering SaaS solutions, especially with ML components.
  • 3+ years of design, implementation, or consulting experience with distributed applications or systems architecture.
  • 3+ years of experience working with RESTful API and general service-oriented architectures.
  • Comfortability in presenting and building relationships with C-level & VP-level execs across Legal, Privacy, Security, and IT.
  • Working knowledge of cloud computing technologies and SQL/No-SQL data systems.
  • Deep understanding of various aspects and stages of an enterprise sales cycle.

Bonus points for:

  • Experience with a privacy technology.
  • Startup Experience.
  • An advanced technical degree.

At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both.

Relyance AI is proud to be an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $110,000 to $140,000 with a 70/30 comp plan.

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