{
 "name": "Deployment strategist postings, FDE Dispatch snapshot October 24, 2026",
 "publisher": "FDE Dispatch",
 "url": "https://fdedispatch.com/deployment-strategist/",
 "snapshot_date": "2026-10-24",
 "text_pull_date": "2026-10-28",
 "population": "Postings in the October 24, 2026 cleaned snapshot counted in page statistics whose role family is deployment_strategist (title contains deployment strategist, or a forward deployed / FDE strategist title). Engineer comparisons use the 568 engineer-family postings (pay, remote, location) and the 563-posting requirements index (text pulled 2026-10-25).",
 "totals": {
  "fde_family_postings": 725,
  "fde_family_employers": 121,
  "strategist_postings": 86,
  "strategist_pct_of_postings": 11.9,
  "strategist_employers": 16,
  "strategist_employers_also_posting_engineer_titles": 13,
  "strategist_only_employers": [
   "Clay",
   "Fireworks AI",
   "Nooks"
  ]
 },
 "employers": [
  {
   "company": "Palantir",
   "postings": 35
  },
  {
   "company": "Salesforce",
   "postings": 12
  },
  {
   "company": "Databricks",
   "postings": 9
  },
  {
   "company": "ElevenLabs",
   "postings": 8
  },
  {
   "company": "Clay",
   "postings": 3
  },
  {
   "company": "Cursor",
   "postings": 3
  },
  {
   "company": "Chalk",
   "postings": 2
  },
  {
   "company": "DevRev",
   "postings": 2
  },
  {
   "company": "Fireworks AI",
   "postings": 2
  },
  {
   "company": "Nooks",
   "postings": 2
  },
  {
   "company": "Parloa",
   "postings": 2
  },
  {
   "company": "Scale AI",
   "postings": 2
  },
  {
   "company": "Column",
   "postings": 1
  },
  {
   "company": "n8n",
   "postings": 1
  },
  {
   "company": "Snowflake",
   "postings": 1
  },
  {
   "company": "UiPath",
   "postings": 1
  }
 ],
 "top4_postings": 64,
 "top4_share_pct": 74.4,
 "title_families": {
  "Deployment Strategist": 71,
  "Forward Deployed Strategist": 7,
  "AI Deployment Strategist": 5,
  "Growth Strategist (Deployment Strategist)": 3
 },
 "government_or_public_sector_titles": {
  "postings": 27,
  "by_employer": {
   "Databricks": 1,
   "Palantir": 22,
   "Salesforce": 2,
   "Scale AI": 2
  }
 },
 "new_grad_or_internship_titles": {
  "postings": 6,
  "by_employer": {
   "Palantir": 6
  }
 },
 "senior_staff_principal_lead_titles": 17,
 "location": {
  "us_only": 49,
  "outside_us": 34,
  "mixed": 1,
  "unknown": 2,
  "remote_listed": 19,
  "remote_listed_pct": 22.1,
  "engineer_remote_listed": 154,
  "engineer_postings": 568,
  "engineer_remote_listed_pct": 27.1,
  "engineer_us_only": 304
 },
 "travel": {
  "postings_stating_pct": 49,
  "employers_stating_pct": 6,
  "median_upper_pct_all": 75,
  "palantir_stating": 32,
  "palantir_common_statement": "25 – 75%",
  "palantir_rows_with_25_to_75": 29,
  "excluding_palantir_stating": 17,
  "excluding_palantir_median_upper_pct": 25,
  "by_employer": {
   "Databricks": [
    [
     "50%",
     1
    ]
   ],
   "DevRev": [
    [
     "80%",
     1
    ],
    [
     "80–90%",
     1
    ]
   ],
   "Palantir": [
    [
     "10-20%",
     1
    ],
    [
     "25 – 75%",
     29
    ],
    [
     "25%",
     1
    ],
    [
     "75%",
     1
    ]
   ],
   "Salesforce": [
    [
     "25%",
     11
    ]
   ],
   "Scale AI": [
    [
     "20-30%",
     2
    ]
   ],
   "n8n": [
    [
     "30–50%",
     1
    ]
   ]
  },
  "engineer_median_upper_pct_published": 25,
  "note": "Upper bound = largest number in the stated percentage. Engineer figure from /forward-deployed-engineer-travel/."
 },
 "pay_us": {
  "rule": "US-only location, USD range posted, first range on the posting",
  "postings": 42,
  "employers": 11,
  "employer_once_median_midpoint": 212500.0,
  "engineer_employer_once_median_midpoint_published": 208000.0,
  "by_employer": [
   {
    "company": "Palantir",
    "us_postings_with_pay": 21,
    "ranges": [
     {
      "min": 110000.0,
      "max": 120000.0
     },
     {
      "min": 110000.0,
      "max": 170000.0
     }
    ],
    "median_midpoint": 140000.0
   },
   {
    "company": "Databricks",
    "us_postings_with_pay": 7,
    "ranges": [
     {
      "min": 182000.0,
      "max": 250208.0
     },
     {
      "min": 219765.0,
      "max": 302220.0
     }
    ],
    "median_midpoint": 260992.5
   },
   {
    "company": "Clay",
    "us_postings_with_pay": 3,
    "ranges": [
     {
      "min": 150000,
      "max": 190000
     },
     {
      "min": 190000,
      "max": 210000
     }
    ],
    "median_midpoint": 170000.0
   },
   {
    "company": "Chalk",
    "us_postings_with_pay": 2,
    "ranges": [
     {
      "min": 180000,
      "max": 250000
     }
    ],
    "median_midpoint": 215000.0
   },
   {
    "company": "Nooks",
    "us_postings_with_pay": 2,
    "ranges": [
     {
      "min": 150000,
      "max": 170000
     }
    ],
    "median_midpoint": 160000.0
   },
   {
    "company": "Scale AI",
    "us_postings_with_pay": 2,
    "ranges": [
     {
      "min": 176800.0,
      "max": 221000.0
     },
     {
      "min": 203200.0,
      "max": 254000.0
     }
    ],
    "median_midpoint": 213750.0
   },
   {
    "company": "Column",
    "us_postings_with_pay": 1,
    "ranges": [
     {
      "min": 150000.0,
      "max": 275000.0
     }
    ],
    "median_midpoint": 212500.0
   },
   {
    "company": "Fireworks AI",
    "us_postings_with_pay": 1,
    "ranges": [
     {
      "min": 165000,
      "max": 220000
     }
    ],
    "median_midpoint": 192500.0
   },
   {
    "company": "Parloa",
    "us_postings_with_pay": 1,
    "ranges": [
     {
      "min": 276000.0,
      "max": 315000.0
     }
    ],
    "median_midpoint": 295500.0
   },
   {
    "company": "Salesforce",
    "us_postings_with_pay": 1,
    "ranges": [
     {
      "min": 134750.0,
      "max": 287910.0
     }
    ],
    "median_midpoint": 211330.0
   },
   {
    "company": "UiPath",
    "us_postings_with_pay": 1,
    "ranges": [
     {
      "min": 190000,
      "max": 240000
     }
    ],
    "median_midpoint": 215000.0
   }
  ],
  "same_employer_pairs": [
   {
    "company": "Palantir",
    "strategist_median_midpoint": 140000.0,
    "strategist_rows": 21,
    "engineer_median_midpoint": 167500.0,
    "engineer_rows": 38
   },
   {
    "company": "Databricks",
    "strategist_median_midpoint": 260992.5,
    "strategist_rows": 7,
    "engineer_median_midpoint": 216104.0,
    "engineer_rows": 61
   },
   {
    "company": "Chalk",
    "strategist_median_midpoint": 215000.0,
    "strategist_rows": 2,
    "engineer_median_midpoint": 225000.0,
    "engineer_rows": 1
   },
   {
    "company": "Scale AI",
    "strategist_median_midpoint": 213750.0,
    "strategist_rows": 2,
    "engineer_median_midpoint": 240640.0,
    "engineer_rows": 4
   },
   {
    "company": "Column",
    "strategist_median_midpoint": 212500.0,
    "strategist_rows": 1,
    "engineer_median_midpoint": 190000.0,
    "engineer_rows": 1
   },
   {
    "company": "Parloa",
    "strategist_median_midpoint": 295500.0,
    "strategist_rows": 1,
    "engineer_median_midpoint": 147500.0,
    "engineer_rows": 2
   },
   {
    "company": "Salesforce",
    "strategist_median_midpoint": 211330.0,
    "strategist_rows": 1,
    "engineer_median_midpoint": 188440.0,
    "engineer_rows": 7
   }
  ],
  "pairs_strategist_higher": [
   "Databricks",
   "Column",
   "Parloa",
   "Salesforce"
  ],
  "pairs_strategist_lower": [
   "Palantir",
   "Chalk",
   "Scale AI"
  ]
 },
 "requirements_comparison": [
  {
   "id": "python",
   "requirement": "Python",
   "strategist_postings": 66,
   "strategist_pct_postings": 77.6,
   "strategist_employers": 7,
   "strategist_pct_employers": 43.8,
   "engineer_postings": 429,
   "engineer_pct_postings": 76.2,
   "engineer_employers": 85,
   "engineer_pct_employers": 73.9
  },
  {
   "id": "apis",
   "requirement": "APIs or integrations",
   "strategist_postings": 27,
   "strategist_pct_postings": 31.8,
   "strategist_employers": 9,
   "strategist_pct_employers": 56.2,
   "engineer_postings": 393,
   "engineer_pct_postings": 69.8,
   "engineer_employers": 93,
   "engineer_pct_employers": 80.9
  },
  {
   "id": "ts_js",
   "requirement": "TypeScript or JavaScript (incl. Node.js)",
   "strategist_postings": 11,
   "strategist_pct_postings": 12.9,
   "strategist_employers": 2,
   "strategist_pct_employers": 12.5,
   "engineer_postings": 318,
   "engineer_pct_postings": 56.5,
   "engineer_employers": 47,
   "engineer_pct_employers": 40.9
  },
  {
   "id": "sql",
   "requirement": "SQL",
   "strategist_postings": 45,
   "strategist_pct_postings": 52.9,
   "strategist_employers": 3,
   "strategist_pct_employers": 18.8,
   "engineer_postings": 59,
   "engineer_pct_postings": 10.5,
   "engineer_employers": 24,
   "engineer_pct_employers": 20.9
  },
  {
   "id": "llm_genai",
   "requirement": "LLMs or generative AI",
   "strategist_postings": 36,
   "strategist_pct_postings": 42.4,
   "strategist_employers": 8,
   "strategist_pct_employers": 50.0,
   "engineer_postings": 247,
   "engineer_pct_postings": 43.9,
   "engineer_employers": 72,
   "engineer_pct_employers": 62.6
  },
  {
   "id": "agents",
   "requirement": "AI agents or agentic systems",
   "strategist_postings": 31,
   "strategist_pct_postings": 36.5,
   "strategist_employers": 9,
   "strategist_pct_employers": 56.2,
   "engineer_postings": 231,
   "engineer_pct_postings": 41.0,
   "engineer_employers": 71,
   "engineer_pct_employers": 61.7
  },
  {
   "id": "consulting",
   "requirement": "Consulting background (management or technical consulting)",
   "strategist_postings": 31,
   "strategist_pct_postings": 36.5,
   "strategist_employers": 8,
   "strategist_pct_employers": 50.0,
   "engineer_postings": 112,
   "engineer_pct_postings": 19.9,
   "engineer_employers": 40,
   "engineer_pct_employers": 34.8,
   "note": "engineer figure computed 2026-10-28 with the same pattern on the 2026-10-25 engineer text pull (563 postings, 115 employers)"
  }
 ],
 "years_of_experience": {
  "strategist_postings_with_text": 85,
  "postings_stating_years": 29,
  "pct": 34.1,
  "employers_stating": 8,
  "by_employer_first_stated_min": {
   "Nooks": 2,
   "ElevenLabs": 3,
   "Salesforce": 4,
   "Column": 7,
   "Databricks": 7,
   "Parloa": 7,
   "Scale AI": 10,
   "UiPath": 10
  },
  "palantir_states_years": false,
  "engineer_pct_stating_published": 58.3,
  "engineer_median_published": 5
 },
 "method": {
  "sources": "Greenhouse, Lever, Ashby public job-board APIs; Workday cxs search for listed tenants",
  "matching": "Case-insensitive keyword match on the full public posting text (description, requirement lists, compensation note) re-fetched from the employer's Greenhouse, Lever, Ashby or Workday board. One posting counts once per requirement. Employer share = employers with at least one matching posting / all employers. A mention is not a hard requirement.",
  "text_status": {
   "ok": 85,
   "closed_or_missing": 1
  },
  "cleaning": "Recruiting-agency postings and duplicate listings removed as in the October 24 snapshot.",
  "coverage": "Employers whose public Greenhouse, Lever, Ashby or Workday boards were checked (276 checked, 206 live boards, 121 with an FDE-family posting). Open postings on the snapshot date, not headcount and not a census."
 },
 "source": "Posting-level rows: https://fdedispatch.com/assets/data/fde-postings-2026-10-24.json (role_family = deployment_strategist, in_page_stats = true). Requirement mentions and years from posting text re-fetched October 28, 2026 (85 of 86 still live)."
}