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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in guiding customers through implementation and deployment while ensuring technical solutions align with business goals. Proficient in SQL, OLAP workloads, and cloud platforms, with a strong ability to communicate complex concepts to diverse stakeholders.
Highest-signal resume keywords
5+ Years In Pre-Sales Or Post-Sales RoleHands-On Experience With OLAP WorkloadsProficiency In SQLFamiliarity With AWS, GCP, Or AzureExperience Supporting Sales And Post-Sales Teams
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Guide new customers through implementation and deployment
- Ensure solutions architectured during the sales cycle are realized in production
- Serve as the ongoing technical point of contact post-sale
- Drive product adoption, resolve technical issues, and identify expansion opportunities
- Build trusted, long-term relationships with customer technical stakeholders
- Understand customer business problems and technical constraints and represent their interests internally
- Monitor account technical health and troubleshoot production issues
- Recommend architecture or configuration improvements as customer needs evolve
- Relay customer patterns and pain points to the engineering and product teams
- Assist with designing or executing Proofs of Concept for prospects
- Maintain detailed records of evaluations, use cases, challenges, PoC plans, and outcomes
- Collaborate with sales to align technical discussions with business goals, address objections, and close deals
- Gather customer insights to shape the Agentic Database roadmap with product and engineering teams
- Deliver webinars, staff conference booths, speak at user groups, and write blogs on Agentic AI use cases and best practices
Requirements
What you’ll need- 5+ years in a pre-sales and/or post-sales role such as solutions engineering, technical consulting or customer success engineering
- Experience ideally within the data analytics, database, or cloud infrastructure space
- Hands-on experience of OLAP workloads, query optimization, and data modeling (e.g., star schema, snowflake schema)
- Proficiency in SQL
- Deep understanding of distributed data processing system theory
- Familiarity with at least one public cloud platform: AWS, GCP, or Azure
- Ability and willingness to learn PhoenixAI Agentic Database product intricacies
- Ability to distill complex technical concepts into clear narratives for diverse stakeholders, from engineers to C-level executives
- Ability to troubleshoot technical challenges during PoCs and adapt solutions to unique customer needs
- Experience supporting sales and post-sales teams in technical evaluations
- Track record of securing technical wins and driving revenue growth
- Knowledge of BI tools such as Tableau or Looker is a bonus
- Experience with streaming processing systems such as Kafka or Redpanda is a bonus
Benefits
Comp & perks- Equity
- PhoenixAI's full benefits package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
OLAP WorkloadsQuery OptimizationData ModelingSQLDistributed Data ProcessingTechnical EvaluationsTroubleshootingBI ToolsStreaming Processing Systems
Soft Skills
Building Trusted RelationshipsClear CommunicationProblem SolvingAdaptability
Tools & Technologies
Agentic DatabaseTableauLookerKafkaRedpanda
Industry Keywords
Data AnalyticsDatabaseCloud InfrastructureTechnical ConsultingCustomer Success Engineering