Manager, Sales Engineering Specialists
About The Position
Fivetran is seeking a Manager, Sales Engineering Specialists to oversee its data platform specialist functions. The role partners with global Sales Engineering leadership and uses a team of technical experts to accelerate complex enterprise deals, drive customer adoption after the sale, and improve the efficiency of the Sales Engineering organization. The manager will keep the team prepared for the data platform requirements of AI and agentic workloads. The position requires a deep understanding of modern data movement and transformation platform architectures and the AI use cases built on them, together with the ability to lead highly specialized technical staff. The manager will develop and retain experienced, high-performing talent who can work effectively with enterprise architects, data engineers, and data platform owners, and hire as the team grows. The role is full-time and based in the US.
Requirements
- Proven 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, with breadth to credibly lead specialists in other disciplines.
- Proficiency with AWS, GCP, or Azure, particularly deployment and connectivity, and with modern data architectures such as cloud data warehouses and lakehouses.
- Working understanding of how AI and agentic workloads change customers' data requirements, and fluency using AI tools to scale individual and team work.
- Extensive Sales Engineering or specialist experience supporting complex enterprise sales cycles, including proofs of value and senior stakeholders, and deep knowledge of technical sales and demonstrations.
- Strong communication skills, including the ability to explain complex data and AI concepts to non-technical buyers and technical architects and influence Product and Engineering priorities with customer evidence.
Nice To Haves
- Prior experience at an analytics, ETL, BI, or open-source data software company.
- Familiarity with dbt, Terraform, or similar tools for transformation and managing cloud infrastructure.
- Experience managing distributed teams across multiple regions and time zones.
- Hands-on experience with AI and context engineering, such as LLM applications, MCP, semantic layers, or metadata and retrieval.
Responsibilities
- Lead a team of experienced specialists across data platform disciplines, serving as technical liaisons among Sales Engineering, Sales, Product, and Engineering.
- Support global Sales teams by embedding specialists to address technical blockers in complex enterprise deals and support customer adoption after the sale.
- Develop strategies to improve deal velocity and customer adoption by streamlining specialist engagement, prioritization, and measurement.
- Perform hands-on work when needed, including architecture reviews, critical customer calls, and complex proofs of value.
- Ensure the team provides timely, strategic, and accurate guidance during technical evaluations and customer escalations.
- Build strong working relationships with Product, Engineering, and other sales teams.
- Coach team members to improve performance and efficiency and prepare them for future roles.
- Ensure specialist knowledge is shared across the field through enablement and documentation.
- Keep the team up to date on how AI and agentic workloads affect customer requirements, and translate this into field guidance.
- Develop and retain high-performing talent and hire as needed.
Benefits
- 100% employer-paid medical insurance.
- Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, inclusive parental leave, paid holidays including a year-end Global Week of Rest, and volunteer days off.
- RSU stock grants.
- Professional development and training opportunities.
- Company virtual happy hours, free food, and team-building activities.
- Monthly cell phone stipend.
- Access to a mental health support platform offering therapy, coaching, and self-guided mindfulness resources for covered employees and dependents.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
