Head of Sales Engineering, Data Platform & AI

Fivetran, Inc.

California

Hybrid

USD 212,000 - 294,000

Full time

6 days ago
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Benefits offered by this job

Medical insurance
Paid time off
RSU stock grants
Professional development
Team-building activities
Cell phone stipend
Mental health support platform

Job summary

Fivetran is hiring a Manager Sales Engineering Specialists in the US to oversee a team of data platform experts. You will align with global Sales Engineering leadership to accelerate complex enterprise deals, drive customer adoption after the sale, and improve efficiency of the Sales Engineering motion overall.

You’ll lead talent who speak enterprise data language and AI use cases, with hiring as needed. This full-time role is based in the US and requires deep knowledge of data pipelines, cloud

Qualifications

  • Experience leading a Sales Engineering or similar technical team.
  • Proven ability to support complex enterprise deals with senior stakeholders.
  • Strong communication to non-technical buyers and engineers alike.

Responsibilities

  • Lead a team of tenured experts across data platform specialties as technical liaisons.
  • Support Global Sales by embedding specialists to unblock enterprise deals.
  • Maximize deal velocity and customer adoption through streamlined engagement.
  • Perform architecture reviews, critical calls, or complex proofs of value when needed.
  • Provide guidance during evaluations and escalations and maintain field knowledge.

Skills

People Leadership
Technical Depth
Cloud Architecture
AI Fluency
Sales Acumen
Communication

Tools

dbt
Terraform

Job description

Fivetran is hiring a Manager Sales Engineering Specialists in the US to oversee a team of data platform experts. You will align with global Sales Engineering leadership to accelerate complex enterprise deals, drive customer adoption after the sale, and improve efficiency of the Sales Engineering motion overall.

You’ll lead talent who speak enterprise data language and AI use cases, with hiring as needed. This full-time role is based in the US and requires deep knowledge of data pipelines, cloud

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