CelerData
Database Support Engineer (US West)
- Compensation
- Not disclosed
- Location
- Menlo Park, CA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Support
- Posted
Skills
Must have
- Experience: 3+ years preferred in a technical support, customer success, or engineering role, ideally with data analytics or database technologies. We are flexible on experience requirements and welco
- Technical Expertise:
- 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.
- Ambition & Curiosity: A driven, inquisitive mindset—eager to learn PhoenixAI Agentic Database product’s intricacies, tackle tough challenges, and grow into the role, even if starting with less experie
- Communication Skills: Proven ability to distill complex technical concepts into clear, compelling narratives for diverse stakeholders, from engineers to C-level executives.
- Problem-Solving: Adept at troubleshooting technical challenges during PoCs and adapting solutions to meet unique customer needs.
- Sales & Customer Success Mindset: Experience supporting sales and post-sales teams in technical evaluations, with a track record of securing technical wins and driving revenue growth.
- Bonus Points:
- Knowledge of BI tools (e.g., Tableau, Looker) Experience with streaming processing systems (Kafka, Redpanda, etc.)
Full description
Job Overview
We are seeking a talented Database Support Engineer to join our team and play a pivotal role in the sales cycle for our Agentic Database. You will be working on the post-sales side — driving onboarding, deployment, adoption, and long-term customer success. This customer-facing role requires a blend of deep technical expertise, strong communication skills, and a passion for solving complex data challenges throughout the customer journey.
Location: Menlo Park, CA (Hybrid)
Employment type: Full-time
Reports to: Head of Database Support Engineering
Key Responsibilities
As a Database Support Engineer, you'll be the ongoing technical point of contact for customers, ensuring they realize sustained value from PhoenixAI's Agentic Database, while flexibly supporting the sales team as presales needs arise. Your responsibilities include:
- Onboarding & Deployment: Guide new customers through implementation and deployment, ensuring solutions architectured during the sales cycle are realized in production.
- Adoption & Expansion: Serve as the ongoing technical point of contact post-sale, driving product adoption, resolving technical issues, and identifying opportunities for expansion.
- Customer Advocacy: Build trusted, long-term relationships with customer technical stakeholders, understanding their business problems and technical constraints deeply enough to represent their interests internally.
- Technical Health & Optimization: Proactively monitor account technical health, troubleshoot production issues, and recommend architecture or configuration improvements as customer needs evolve.
- Feedback loop to product/engineering: Relay patterns and pain points seen across customers back to the core engineering/product team
- PoC Support to Presales: Assist with the design or execution of Proof of Concepts for prospects when presales bandwidth requires it.
- Documentation: Keep detailed records of evaluations—covering use cases, challenges, PoC plans, and outcomes—to refine our process and inform product enhancements to PhoenixAI’s Agentic Database.
- Cross-Functional Partnership: Collaborate with sales to align technical discussions with business goals, address objections, and close deals, while gathering customer insights to shape PhoenixAI’s Agentic Database roadmap with product and engineering teams.
- Marketing Support & Thought Leadership: Boost PhoenixAI’s presence by delivering webinars, staffing conference booths, speaking at user groups, and writing blogs on Agentic AI use cases and best practices.
Qualifications
- Experience: 3+ years preferred in a technical support, customer success, or engineering role, ideally with data analytics or database technologies. We are flexible on experience requirements and welcome outstanding Computer Science graduates from strong universities.