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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading technical teams within Sales Engineering and Solution Architecture, with a strong focus on maximizing deal velocity and customer adoption through effective strategies and hands-on engagement. Proficient in modern data architectures and AI tools, ensuring the team is equipped to meet evolving customer requirements.
Highest-signal resume keywords
Team LeadershipSales Engineering ExperienceAWS, GCP, Azure ProficiencyModern Data ArchitecturesAI Tools Fluency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Sales EngineeringSolution ArchitectureDatabase ReplicationApplication ReplicationData TransformationAI EngineeringCloud Data WarehousesLakehouse ArchitecturesProofs of ValueTechnical Evaluations
Soft Skills
CoachingRelationship BuildingInfluencingCommunicationPerformance Maximization
Tools & Technologies
AWSGCPAzureDbtTerraformAI ToolsETL ToolsBI ToolsCloud Infrastructure ManagementSemantic Layers
Industry Keywords
Enterprise Sales CyclesData LifecycleCustomer AdoptionTechnical Sales ProcessDistributed Teams
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformTerraform
About the role
Key responsibilities & impact- Lead a team of tenured experts across data platform specialties as technical liaisons between Sales Engineering, Sales, Product, and Engineering.
- Support Global Sales teams by embedding specialist functions to remove technical blockers in complex enterprise deals and customer adoption after the sale.
- Implement strategies to maximize deal velocity and customer adoption by streamlining specialist engagement, prioritization, and measurement.
- Execute hands-on tasks when needed, including architecture reviews, critical customer calls, and complex proofs of value.
- 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 to maximize performance and efficiency and prepare them for future roles.
- Ensure specialist knowledge is shared across the field through enablement and documentation.
- Keep the team current on how AI and agentic workloads change customer requirements and turn that into field guidance.
Requirements
What you’ll need- Proven experience leading and developing a Sales Engineering, Solution Architecture, or other technical team; people management experience preferred.
- Hands-on expertise in one or more areas across the data lifecycle, 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; experience applying a narrower specialty across several areas also counts.
- Proficiency with AWS, GCP, and Azure, specifically regarding 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 broader technical sales and demonstration process.
- Best-in-class ability to explain complex data and AI concepts to non-technical buyers and technical architects alike.
- Ability to influence Product and Engineering priorities with customer evidence.
- Bonus: Prior experience at an analytics, ETL, BI, or open-source data software company.
- Bonus: Familiarity with dbt, Terraform, or similar tools for transformation and managing cloud infrastructure.
- Bonus: Experience managing distributed teams across multiple regions and time zones.
- Bonus: Hands-on experience with AI and context engineering, such as LLM applications, MCP, semantic layers, or metadata and retrieval.
- This is a full-time position based in the US.
Benefits
Comp & perks- 100% employer-paid medical insurance*
- Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus 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 fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
- Equal-opportunity interview accommodations for candidates who require them
- *May vary by country and worker type - please reach out to your recruiter for more information