Vectara

Vectara, Inc.·Vectara.com
Hiring Signals

4 open roles

As of September 5, 2026, Vectara's hiring: 4 open roles spread across platform engineering, ML, and sales, all remote-friendly. The small headcount suggests a focused team rather than a scaling sprint, which can mean slower feature velocity but tighter execution.

Backed by 5 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Functions
Platform engineering and mlSales
Details
Open roles4
Remoteyes
Hiring Change Historydated events · values unlock with a key
Hiring changed: Platform Engineering And Ml
Job-posting surge: Open Roles · high significance
Job-posting decline: Open Roles · high significance
Hiring changed: Platform Engineering And Ml · high significance
Hiring changed: Engineering · high significance
Hiring changed: Product · high significance
Hiring changed: Operations · high significance
Hiring changed: Engineering
Every hiring fact on this pagekey · value · provenance · dated · sourced
FactValueProvenanceAs ofSource
hiring.is_hiringyescompany stated2026-09-05job-boards.greenhouse.io/vectara/jobs/5176915008
hiring.open_roles4 rolescompany stated2026-09-05job-boards.greenhouse.io/vectara/jobs/5176915008
hiring.remoteyescompany stated2026-09-05job-boards.greenhouse.io/vectara/jobs/5176915008
hiring.role.platform-engineering-and-mlPlatform Engineering And Mlcompany stated2026-09-05job-boards.greenhouse.io/vectara/jobs/5176915008
hiring.role.salesSalescompany stated2026-09-05job-boards.greenhouse.io/vectara/jobs/5176915008
Hiring across Vector DatabasesVectara ranked in place · tap through for each read
CompanyHiring readFacts
ZillizScaling6
Chroma6 open roles5
Epsilla4 open roles5
Pinecone6 open roles5
Vectara this record4 open roles5
TopK2 open roles3

No observed hiring facts yet for Activeloop, KDB.AI, LanceDB, Marqo, Milvus, MyScale, Qdrant, Turbopuffer, 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": "2026-09-05",
        "source_url": "job-boards.greenhouse.io/vectara/jobs/5176915008"
      },
      {
        "key": "hiring.open_roles",
        "value": 4,
        "provenance": "company_stated",
        "as_of": "2026-09-05",
        "source_url": "job-boards.greenhouse.io/vectara/jobs/5176915008"
      },
      {
        "key": "hiring.remote",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-09-05",
        "source_url": "job-boards.greenhouse.io/vectara/jobs/5176915008"
      },
      {
        "key": "hiring.role.platform-engineering-and-ml",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-09-05",
        "source_url": "job-boards.greenhouse.io/vectara/jobs/5176915008"
      },
      "…"
    ]
  }
}
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.