Database Support Engineer (US West)

CelerData•Menlo Park, CA

3d•$80,000 - $200,000•Hybrid

About The Position

PhoenixAI is seeking a Database Support Engineer to support the post-sales customer journey for its Agentic Database, including onboarding, deployment, adoption, and long-term customer success. This customer-facing role combines technical expertise, communication, and complex data problem-solving, while flexibly supporting presales needs as they arise. The position is based in Menlo Park, California, with a hybrid work arrangement, and reports to the Head of Database Support Engineering. The engineer serves as an ongoing technical point of contact for customers, helping them realize sustained value from PhoenixAI’s Agentic Database. The role also supports sales and presales, contributes customer feedback to product and engineering, and helps promote PhoenixAI through webinars, conferences, user groups, and written content. PhoenixAI expects hires to own outcomes, seek truth and build trust, move quickly with judgment, work AI-first, and raise the bar without ego. The base salary range is $80,000 to $200,000, with equity and PhoenixAI’s full benefits package. Compensation within the range depends on experience, scope, and interview results. PhoenixAI is an equal opportunity employer and welcomes candidates of all backgrounds.

Requirements

At least 3 years of experience preferred in technical support, customer success, or engineering, ideally involving data analytics or database technologies; PhoenixAI is flexible on experience and welcomes outstanding Computer Science graduates from strong universities.
Hands-on experience with OLAP workloads, query optimization, and data modeling, such as star and snowflake schemas.
Proficiency in SQL.
Deep understanding of distributed data processing system theory.
Familiarity with at least one public cloud platform: AWS, GCP, or Azure.
Driven and inquisitive mindset, with eagerness to learn the product, tackle difficult challenges, and grow into the role.
Ability to explain complex technical concepts clearly and compellingly to varied 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, with a track record of securing technical wins and driving revenue growth.

Nice To Haves

Knowledge of BI tools such as Tableau or Looker.
Experience with streaming processing systems such as Kafka or Redpanda.

Responsibilities

Guide new customers through implementation and deployment, ensuring solutions designed during the sales cycle are realized in production.
Serve as the ongoing post-sale technical point of contact, driving product adoption, resolving technical issues, and identifying expansion opportunities.
Build trusted, long-term relationships with customer technical stakeholders and represent their interests internally.
Monitor account technical health, troubleshoot production issues, and recommend architecture or configuration improvements as customer needs evolve.
Relay customer patterns and pain points to the product and engineering teams.
Assist with designing or executing Proof of Concepts for prospects when presales bandwidth requires it.
Maintain detailed evaluation records covering 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 help shape the Agentic Database roadmap with product and engineering teams.
Support marketing and thought leadership by delivering webinars, staffing conference booths, speaking at user groups, and writing blogs about Agentic AI use cases and best practices.