QuestDB (YC S20) Is Hiring a Sales Engineer
Pre-Sales Engineer, North AmericaAbout QuestDBQuestDB is the low-latency time-series database on open formats. QuestDB Enterprise turns a single server into a fully distributed deployment with a multi-tiered lakehouse architecture, ready for mission-critical workloads on the critical path.Our open-source repository has passed 17k GitHub stars and we're the fastest-growing database in our category. QuestDB runs in production at tier-1 banks, exchanges, trading firms, hedge funds, crypto platforms and energy operators across four continents, and is expanding into robotics, aerospace and Physical AI.
- ▪Pre-Sales Engineer, North AmericaAbout QuestDBQuestDB is the low-latency time-series database on open formats.
- ▪QuestDB Enterprise turns a single server into a fully distributed deployment with a multi-tiered lakehouse architecture, ready for mission-critical workloads on the critical path.Our open-source repository has passed 17k GitHub stars and we
- ▪QuestDB runs in production at tier-1 banks, exchanges, trading firms, hedge funds, crypto platforms and energy operators across four continents, and is expanding into robotics, aerospace and Physical AI.
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Record
| Original publisher | QuestDB |
| Canonical URL | https://questdb.com/careers/pre-sales-engineer-north-america/ |
| Publication time | Wed, 23 Sep 2026 12:01:04 +0000 |
| Retrieval time | 2026-09-23T12:09:30.573Z |
| Last seen | 2026-09-23T12:09:30.573Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | GSDG8RubKK99 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Pre-Sales Engineer, North AmericaAbout QuestDBQuestDB is the low-latency time-series database on open formats. It ingests millions of events per second, computes on live data in milliseconds, and keeps years of history queryable: one SQL engine spanning messaging, stream processing and tiered storage, so teams can act on what is happening and learn from everything that happened.The engine is written in low-latency Java (zero-GC), Rust, C++ and assembly: columnar storage, vectorized and JIT-compiled SQL, streaming materialized views, and an open lakehouse tier on Parquet and Iceberg.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at QuestDB.