Salary Range: 106000 to 182000 (Currency: USD) (Pay period: per-year-salary)

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.
• 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.
• Develop and present tailored architectural solutions, best practices, and industry-specific use cases.
• Provide technical input on RFPs and customer technical requirements.
• Create and develop technical champions in your accounts to drive deals and achieve a technical win.
• Work hands-on with customers to demonstrate and communicate the value of TiDB throughout the sales cycle, from demo to proof of concept to design and implementation.
• Develop and deliver presentations, demonstrations, and technical workshops to various audiences, including developers, architects, and C-level executives.
• Generate high-quality technical content such as whitepapers, blog posts, webinars, and reference architectures.
• Stay at the cutting edge of distributed database technology, confidently presenting TiDB roadmap features 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.
• Travel within the region (approximately 20-40%) as required for customer engagements.

Qualifications

• 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.
• Education: 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.
• Operating Systems: Proficiency in Linux system administration.
• Networking: Understanding of network configuration and troubleshooting.
• Database Management: Hands-on experience with relational and NoSQL databases, such as MySQL, PostgreSQL, Redis, or comparable technologies.
• Scripting and Automation: Proficiency in at least one scripting language, such as Python, Golang, or Shell scripting, to automate deployment and management tasks.
• Soft Skills:
• Exceptional communication and presentation abilities to convey technical concepts to both technical and executive audiences.
• Strong problem-solving skills with a passion for customer success.

Nice to Have

• Cloud Platforms: Expertise in cloud environments such as AWS, Google Cloud, and Azure.
• DevOps and Automation Tools: Knowledge of DevOps automation and infrastructure-as-code tools like Terraform, Ansible, Kubernetes, etc.
• Additional Programming Skills: Experience with additional programming or scripting languages beyond the required ones.
• System Monitoring and Maintenance: Familiarity with system monitoring tools and practices to ensure performance and availability.
• Advanced Database Features: Understanding of advanced database features and configurations (replication strategies, ETL techniques, consensus algorithms).
• Certifications: Relevant industry certifications related to databases, cloud platforms, or system administration.

What You Will Learn

• Cutting-edge distributed database technology and architecture best practices.
• Advanced data infrastructure solutions across various industry verticals (e.g., fintech, gaming, e-commerce, SaaS).
• Modern Presales techniques such as discovery, objection handling, technical workshops, and whiteboarding.
• Cross-functional collaboration with Sales, Engineering, Product, and Customer Success teams.