Vectara

Vectara, Inc.·Vectara.com
Hiring Signals

6 open roles

As of July 21, 2026, Vectara's hiring: 6 open roles split across sales and platform engineering and ML, all remote-friendly; the mix suggests the company is pushing revenue growth and product depth simultaneously, but the headcount is small enough that key-person risk on either side is real.

High confidence · 5 dated facts
Corroborated across multiple dated, sourced facts.
Functions
SalesPlatform engineering and ml
Details
Open roles6
Remoteyes
Hiring Change Historydated events · values unlock with a key
Hiring changed: Engineering · high significance
Hiring changed: Product · high significance
Hiring changed: Operations · high significance
Hiring changed: Engineering
Hiring changed: Product
Hiring changed: Operations
Every hiring fact on this pagekey · value · provenance · dated · sourced
FactValueProvenanceAs ofSource
hiring.is_hiringyescompany stated2026-07-21job-boards.greenhouse.io/vectara/jobs/4504422008
hiring.open_roles6 rolescompany stated2026-07-21job-boards.greenhouse.io/vectara/jobs/4504422008
hiring.remoteyescompany stated2026-07-21job-boards.greenhouse.io/vectara/jobs/4504422008
hiring.role.platform-engineering-and-mlPlatform Engineering And Mlcompany stated2026-07-21job-boards.greenhouse.io/vectara/jobs/4504422008
hiring.role.salesSalescompany stated2026-07-21job-boards.greenhouse.io/vectara/jobs/4504422008
Hiring across Vector DatabasesVectara ranked in place · tap through for each read

No observed hiring facts yet for Activeloop, Chroma, KDB.AI, LanceDB, Marqo, Milvus, MyScale, Qdrant, Vespa and Weaviate.

Get hiring for vectara.com via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/vectara.com/facts?dimension=hiring

{
  "data": {
    "facts": [
      {
        "key": "hiring.is_hiring",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-21",
        "source_url": "job-boards.greenhouse.io/vectara/jobs/4504422008"
      },
      {
        "key": "hiring.remote",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-21",
        "source_url": "job-boards.greenhouse.io/vectara/jobs/4504422008"
      },
      {
        "key": "hiring.open_roles",
        "value": 6,
        "provenance": "company_stated",
        "as_of": "2026-07-21",
        "source_url": "job-boards.greenhouse.io/vectara/jobs/4504422008"
      },
      {
        "key": "hiring.role.sales",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-21",
        "source_url": "job-boards.greenhouse.io/vectara/jobs/4504422008"
      },
      "…"
    ]
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company_facts({ domain: "vectara.com", dimension: "hiring" })

# returns the hiring record above,
# each value with its source_url + as_of,
# ready to reason over
Build on the company record. One key, REST + MCP, every signal dated and sourced back to the page it came from.

Public record, read from companies' own pages and boards. Every fact dated and sourced; provenance (observed vs company stated) shown inline.