Senior Director, Sales Engineering
New
Based in United StatesFull-TimeDirector
SalaryCompetitive executive-level compensation package aligned with senior leadership responsibilities.
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Job Details
- Experience
- 15+ years
- Required Skills
- SnowflakeSaaSBigQueryRedshiftDatabricks
Requirements
- 15+ years of experience in Sales Engineering or technical pre-sales leadership within SaaS, data, analytics, or cloud-based environments.
- Proven experience building and leading global, distributed Sales Engineering teams in both startup and large-scale organizations.
- Strong technical expertise in modern data stack technologies such as Snowflake, BigQuery, Redshift, Databricks, and ELT/ETL architectures.
- Deep understanding of cloud-based data platforms, streaming/batch processing, and analytics infrastructure.
- Demonstrated success supporting enterprise SaaS sales cycles and consistently achieving or exceeding revenue targets.
- Strong ability to translate complex technical concepts into clear business value for both technical and executive stakeholders.
- Excellent leadership, communication, and stakeholder management skills across cross-functional and global teams.
- Experience developing enablement programs, technical playbooks, and structured sales engineering methodologies.
- Bachelor’s degree in a technical field required; advanced degree preferred.
Responsibilities
- Lead and scale a global Sales Engineering organization, including hiring, coaching, and developing high-performing technical pre-sales talent.
- Partner with global Sales teams to support enterprise deals, including technical discovery, solution design, demonstrations, and proof-of-concept execution.
- Develop and standardize technical sales methodologies, playbooks, ROI models, and POC frameworks to improve win rates and deal consistency.
- Define and track key performance metrics and OKRs such as POC success rate, win rate, conversion rates, and pipeline efficiency.
- Provide technical leadership during complex enterprise engagements, ensuring alignment between customer requirements and platform capabilities.
- Collaborate closely with Product and Engineering teams to communicate customer feedback and influence roadmap priorities.
- Optimize pre-sales processes, tools, and enablement systems to improve team productivity and scalability.
- Build subject matter expertise across modern data stack technologies including ETL/ELT, cloud data warehouses, and analytics platforms.
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