Solutions Architect (Singapore)

PhoenixAI; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

PhoenixAI is seeking a Database Support Engineer to join our team in Singapore. You will lead onboarding, deployment, adoption, and long-term customer success for our Agentic Database, blending deep data engineering skills with strong communication.

The role requires 5+ years in post-sales or pre-sales in data analytics or cloud infrastructure, hands-on SQL, OLAP, data modeling, and experience with public clouds.

Qualifications

• 5+ years in post-sales or pre-sales roles in data analytics, database, or cloud infrastructure.
• Hands-on experience with OLAP workloads, SQL, and data modeling (star/snowflake schemas).
• Familiar with at least one public cloud platform (AWS, GCP, Azure).
• Strong written and verbal communication, capable of explaining complex topics to varied stakeholders.
• Problem-solving and ability to tailor solutions for PoCs and customer needs.
• Experience supporting sales and post-sales teams to drive technical wins and revenue.

Responsibilities

• Onboarding and deployment guidance to ensure sales-cycle designs become production reality.
• Drive product adoption, resolve technical issues, and identify expansion opportunities.
• Build trusted relationships with customer tech stakeholders and represent customer interests.
• Monitor technical health, troubleshoot production issues, and suggest architectural improvements.
• Relay patterns and pain points to engineering/product teams for improvements.
• Maintain detailed evaluations, PoCs, and outcomes to refine processes.
• Collaborate with sales to align technical talks with business goals and close deals.
• Support marketing activities through webinars, conference participation, and thought leadership.
• Assist presales with PoC design and execution when bandwidth requires.

Skills

SQL

OLAP

Data modeling

Distributed data processing

Cloud platforms (AWS/GCP/Azure)

Communication skills

Problem solving

Sales & customer success mindset

BI tools knowledge (Looker/Tableau)

Tools

Looker

Tableau

Job description

About PhoenixAI

PhoenixAI is the Agentic AI Database, purpose-built to give autonomous AI agents sub-second access to live enterprise data at massive scale. The platform unifies real-time and at-rest data in a single AI-native engine, combining the speed and concurrency that agentic workloads demand with the governance and deployment flexibility enterprises require to put AI into production. Formerly known as CelerData, PhoenixAI is headquartered in Menlo Park, California. Learn more at phoenixdata.ai

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.

Key Responsibilities

• Onboarding & Deployment: Guide new customers through implementation and deployment, ensuring solutions architected 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
• 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.
• Adhoc Support to Presales: Assist with the design or execution of Proof of Concepts for prospects when presales bandwidth requires it.

Qualifications

• 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 experience or specific skills.
• Experience: 5+ years in a post-sales and/or pre-sales role such as solutions engineering, technical consulting or customer success engineering, ideally within the data analytics, database, or cloud infrastructure space.
• 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.
  • Familiar with at least one of the public cloud platforms (AWS, GCP, Azure)
• 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.)