Customer Delivery Engineer

🕒 May 7

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Logo of TigerData (creators of TimescaleDB)

TigerData (creators of TimescaleDB)

51 - 200 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

Database • SaaS • Artificial Intelligence

TigerData is the creator of TimescaleDB, offering a reliable PostgreSQL cloud service designed for high-performance workloads, particularly in time series and real-time analytics. With a focus on security and scalability, TigerData supports demanding applications across various industries by providing lightning-fast data ingestion, complex querying, and efficient management of large datasets. Their services are suitable for customer-facing applications and are used by leading companies in sectors like IoT, AI, and finance.

📋 Description

• Own the hardest part of customer adoption. Ship real results, fast. • Provide customer project delivery. • Implement migrations, data optimizations, and schema designs. • Scope and execute engagements with clear, measurable deliverables. • Fix complex technical problems. • Tune slow queries and configurations. • Write tactical fixes and scripts to unblock customers quickly. • Apply AI to accelerate engineering. • Use copilots (LLMs, AI assistants) to generate query rewrites and test optimizations. • Create reusable AI prompts and delivery playbooks. • Bridge architecture and reality. • Translate reference architectures into customer-specific deployments. • Adapt TigerData features (e.g., Hypertables, Hypercore, continuous aggregates, vector search) to real workloads. • Be the customer’s technical champion. • Own technical success during project delivery. • Escalate to core Engineering only when there’s a product-level gap. • Capture and share knowledge. • Write playbooks, scripts, and internal guides. • Feed learnings back to Product and Engineering.

🎯 Requirements

• Have deep hands-on experience with PostgreSQL — especially SQL tuning, performance optimization, and schema design • Have delivered complex migrations, data transformations, or optimizations in production environments • Are fluent in SQL and Python (or similar scripting languages for data work) • Are comfortable leading technical conversations with customers, especially under pressure • Love using AI tools (copilots, LLMs) to speed up query rewriting, code generation, or problem diagnosis • Communicate clearly and know how to explain tradeoffs to customers in high-stakes moments • Bonus: experience in Implementation Engineering, Integration Engineering, Solutions Engineering, Professional Services, or Technical Consulting

🏖️ Benefits

• Flexible PTO and comprehensive family leave • Fridays off in August 😎 • Fully remote opportunities globally • Stock options for long-term growth • Monthly WiFi stipend • Professional development and educational resources 📚 • Premium insurance options for you and your family (US-based employees)

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