Staff Product Marketing Engineer

Posted about 1 month agoViewed
100000 - 120000 USD per year
USFull-TimeSoftware Development
Company:Tiger Data
Location:US, EST, PST
Languages:English
Seniority level:Staff
Skills:
AWSBackend DevelopmentDockerPostgreSQLPythonSQLArtificial IntelligenceCloud ComputingKubernetesMachine LearningData modelingSoftware Engineering
Requirements:
Deep infrastructure experience: understand how modern data systems are built, deployed, and scaled. Strong proficiency in PostgreSQL, including schema design, indexing, query planning, and performance tuning. Experience designing or running technical benchmarks, ideally in high-ingest or real-time environments. Ability to communicate complex infrastructure trade-offs to developers in clear, actionable terms. Strong writing skills with a portfolio of technical blogs, docs, or reports. Comfort collaborating across product, engineering, docs, and GTM teams. Experience with vector databases (e.g., pgvector, Pinecone, Weaviate) is a bonus. Experience with time-series architectures is a bonus. Experience with event streaming and orchestration tools (Kafka) is a bonus. Previous work in developer tools, AI infrastructure, or open-source ecosystems is a bonus.
Responsibilities:
Develop messaging for infrastructure teams, architects, and builders. Translate Postgres-powered architecture into clear positioning. Craft developer-native language for performance, reliability, and scalability. Create hands-on technical content like benchmark reports, engineering blogs, product walkthroughs, and solution briefs. Build technical artifacts such as sample queries, schema models, reference architectures, and demo apps. Design and run benchmarks to demonstrate performance and architectural advantages. Collaborate with engineering on performance testing (ingestion, query throughput, latency, compression, vector retrieval). Generate technically credible reports and visualizations from benchmark results. Perform hands-on testing of alternatives for competitive intelligence. Contribute to documentation, onboarding guides, and tutorials with example queries and integration instructions. Analyze the infra and AI ecosystem for developer trends and evolving architectures. Build competitive guides, battlecards, and feature comparisons for technical buyers. Stay updated on emerging tools in the real-time and AI-native stack. Own technical Go-to-Market (GTM) for new feature launches and infrastructure capabilities. Collaborate with product, engineering, and marketing for launch narratives, demos, and content. Equip Sales, SEs, and Customer Success with technical materials. Act as a technical proxy for developers, test APIs, build with them, and provide feedback to product teams. Shape the presentation and usage of Postgres extensions, vector search, and time-series features.
About the Company
Tiger Data
View Company Profile
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