Manager, Sales Engineering Specialists

9 hours, 57 minutes ago
Full-time
Lead
Sales and Business Development
Fivetran

Fivetran

Fivetran is a SaaS data integration platform that automates data movement from multiple sources into data warehouses, allowing analysts to centralize data effortlessly and focus on driving business analytics.

IT Services
1001-5000
Founded 2012
$853M raised

Description

  • Lead a team of data-platform specialists serving as technical liaisons across Sales Engineering, Sales, Product, and Engineering.
  • Embed specialist resources in global sales opportunities to resolve technical blockers and support post-sale customer adoption.
  • Develop and implement engagement, prioritization, and measurement strategies that improve deal velocity and adoption.
  • Conduct hands-on architecture reviews, critical customer calls, and complex proofs of value when needed.
  • Ensure timely, accurate, and strategic technical guidance during customer evaluations and escalations.
  • Partner with Product, Engineering, and sales teams to address customer needs and influence priorities with field insights.
  • Coach, develop, retain, and hire high-performing specialist talent.
  • Create field enablement and documentation that scales specialist knowledge.
  • Keep the team and field informed on data-platform requirements for AI and agentic workloads.

Requirements

  • Experience leading and developing a Sales Engineering, Solution Architecture, or other technical team; people-management experience preferred.
  • Hands-on expertise in one or more data-lifecycle domains, such as database or application replication, SAP, lakehouse and warehouse architecture, transformation, activation, or AI and context engineering.
  • Proficiency with AWS, GCP, or Azure, including deployment and connectivity considerations.
  • Knowledge of modern cloud data warehouses and lakehouses, such as Snowflake, BigQuery, and Databricks.
  • Extensive Sales Engineering or specialist experience supporting complex enterprise sales cycles, proofs of value, and senior stakeholders.
  • Ability to communicate complex data and AI concepts to both business buyers and technical architects.
  • Working understanding of AI and agentic workload data requirements and experience using AI tools to improve team productivity.
  • Experience with dbt, Terraform, SQL, reverse ETL, Apache Iceberg, or similar data and cloud-infrastructure tools (preferred).
  • Experience at an analytics, ETL, BI, or open-source data software company (preferred).
  • Experience managing distributed teams and hands-on work with LLM applications, MCP, semantic layers, metadata, or retrieval (preferred).

Benefits

  • On-target earnings of $212,004.29–$294,450.54 USD.
  • 100% employer-paid medical insurance, subject to country and worker type.
  • Paid vacation or flexible/unlimited vacation, paid sick time, holidays, volunteer days, and a year-end Global Week of Rest.
  • Inclusive paid parental leave.
  • RSU stock grants.
  • Professional development and training opportunities.
  • Monthly cell phone stipend and team-building activities.
  • Mental health support with therapy, coaching, and mindfulness resources for covered employees and dependents.

Interested in this position?

Apply directly on the company website

Apply Now

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