Senior Solutions Engineer
New
T
TiDBDatabase, AI
Remote - United StatesFull-TimeSenior
Salary106000 - 182000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PostgreSQLPythonCloud ComputingMySQLGoRedisLinuxDistributed Systems
Requirements
- 5+ years of experience as a Solutions Engineer, Solutions Architect, Database Administrator, or Software Engineer with a focus on distributed systems, databases, or cloud computing.
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
- Extensive experience in technical sales, pre-sales engineering, or customer-facing technical roles.
- Strong understanding of clustering technologies, terminology, and architectures.
- Proficiency in Linux system administration.
- Understanding of network configuration and troubleshooting.
- Hands-on experience with relational databases (MySQL, PostgreSQL).
- Hands-on experience with NoSQL databases (Redis or comparable technologies).
- Proficiency in at least one scripting language: Python, Golang, or Shell scripting.
- Exceptional communication and presentation abilities.
- Experience with AI tooling ecosystems such as Claude Code and Codex.
- Strong problem-solving skills.
Responsibilities
- Educate prospects and customers on the capabilities and benefits of TiDB, articulating how it addresses business and technical challenges.
- Share best practices for integrating TiDB with various data sources and applications, including LLM-powered pipelines and agent orchestration frameworks.
- Guide customers through the design, deployment, and optimization of TiDB implementations across multiple functional areas of their organization.
- Lead and execute Proof of Concept (PoC) engagements, demonstrating TiDB’s capabilities in real-world scenarios, including AI agent memory, transactional state, and high-concurrency agent query patterns.
- Develop and present tailored architectural solutions, best practices, and industry-specific use cases, with a growing focus on AI-native and agent-driven architectures.
- Engage AI-native customers and enterprises building agent-powered applications, articulating TiDB’s unique value as the database layer for agent state, memory persistence, and fleet coordination.
- Provide technical input on RFPs and customer technical requirements.
- Work hands-on with customers to demonstrate and communicate the value of TiDB throughout the sales cycle.
- Develop and deliver presentations, demonstrations, and technical workshops to various audiences.
- Build and deliver AI-focused demos showcasing TiDB as the backbone for LLM-powered applications, autonomous agent pipelines, and multi-agent coordination systems.
- Generate high-quality technical content such as whitepapers, blog posts, webinars, and reference architectures including AI/agent-specific use case patterns.
- Stay at the cutting edge of distributed database technology and AI agent ecosystem trends, confidently presenting TiDB roadmap features, AI integrations, and functionality to customers and prospects.
- Partner with Product Management, Engineering, and Marketing to continuously improve TiDB’s products and positioning.
- Establish industry influence by contributing to technical discussions, organizing knowledge-sharing sessions, and engaging with the open-source community.
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