Manager, Sales Engineering Specialists
New
F
FivetranData infrastructure
Remote, California, United States, AMERFull-TimeManager
SalaryOTE (On Target Earning) $212,004.29 — $294,450.54 USD
Apply NowOpens the employer's application page
Job Details
- Required Skills
- AWSGCPSAPAzure
Requirements
- Experience leading and developing a Sales Engineering, Solution Architecture, or other technical team; people management experience is preferred.
- Hands-on expertise in one or more data lifecycle areas, such as database and application replication, SAP, lake and warehouse architectures, transformation, activation, or AI and context engineering.
- Breadth to credibly lead specialists in other disciplines; applying a narrower specialty across several areas also counts.
- Proficiency with AWS, GCP, or Azure, particularly deployment and connectivity.
- Proficiency with modern data architectures, including cloud data warehouses and lakehouses.
- Working understanding of how AI and agentic workloads change customers’ data requirements.
- Fluency using AI tools to scale your own and your team’s work.
- Extensive Sales Engineering or specialist experience supporting complex enterprise sales cycles, including proofs of value and senior stakeholders.
- Deep knowledge of the technical sales and demonstration process.
- Ability to explain complex data and AI concepts to non-technical buyers and technical architects and influence Product and Engineering priorities with customer evidence.
Responsibilities
- Lead data platform specialists as technical liaisons among Sales Engineering, Sales, Product, and Engineering.
- Embed specialist functions in global sales teams to remove technical blockers in complex enterprise deals and support post-sale customer adoption.
- Develop strategies to improve deal velocity and customer adoption by streamlining how specialists are engaged, prioritized, and measured.
- Perform hands-on architecture reviews, critical customer calls, and complex proofs of value when needed.
- Ensure timely, strategic, and accurate guidance during technical evaluations and customer escalations.
- Build working relationships with Product, Engineering, and other sales teams.
- Coach team members, maximize performance and efficiency, and prepare them for future roles.
- Share specialist knowledge across the field through enablement and documentation.
- Keep the team current on how AI and agentic workloads change customer requirements and turn those changes into field guidance.
View Full Description & ApplyYou'll be redirected to the employer's site
