{ "name": "FDE Dispatch Forward Deployed Engineer requirements index, October 25, 2026", "pull_date": "2026-10-25", "snapshot_date": "2026-10-24", "publisher": "FDE Dispatch", "url": "https://fdedispatch.com/forward-deployed-engineer-skills/", "population": "Engineer-title FDE postings counted in the October 24, 2026 snapshot (https://fdedispatch.com/assets/data/fde-postings-2026-10-24.json), internships excluded: 565 postings. Text re-fetched from each public board on October 25, 2026; 2 had closed, leaving 563 postings from 115 employers.", "method": { "match": "A posting counts for a requirement when its public text matches at least one of that requirement's patterns (case-insensitive unless case_sensitive is true). Each posting counts once per requirement.", "removed_before_matching": "'About ' / 'About us' / 'Who we are' sections (until the next role heading, max 2,000 characters), sentences with employer boilerplate (headquartered, our mission, equal opportunity, benefits, backed by, founded in and similar), and sentences that start with the employer name followed by is a/an/the, offers, provides, delivers, powers, helps or builds. Text is split into sentences at . ! ? and line breaks; degree abbreviations (B.S., M.S., B.A., M.A., Ph.D., B.Sc., M.Sc.) do not end a sentence.", "employer_share": "Employers with at least one matching posting divided by 115 employers.", "years_of_experience": "first 'N+ years ... experience' phrase in the posting text (N between 1 and 20; for a range like 3-5 years the lower number), per posting; employer-once = median of each employer's median", "caveat": "A mention is not a hard requirement: matches include nice-to-have lists and responsibilities. Keyword matching is approximate; the patterns are listed in full below.", "correction": "October 25, 2026: degree abbreviations such as B.S. were first treated as sentence ends, which hid 3 computer science degree mentions (2 Anduril Industries postings, 1 Stripe posting). Corrected: 125 postings (22.2%), 38 employers (33.0%), up from 122 (21.7%) and 36 (31.3%). No other figure changed." }, "requirements": [ { "id": "python", "requirement": "Python", "postings": 429, "pct_postings": 76.2, "employers": 85, "pct_employers": 73.9, "patterns": { "match_any": [ "\\bpython\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "customer_facing", "requirement": "Customer-facing work (phrase match)", "postings": 417, "pct_postings": 74.1, "employers": 84, "pct_employers": 73.0, "patterns": { "match_any": [ "\\b(?:customer|client)[- ]facing\\b", "\\bdirectly with (?:our |your |the )?(?:customers?|clients?)\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "apis", "requirement": "APIs or integrations", "postings": 393, "pct_postings": 69.8, "employers": 93, "pct_employers": 80.9, "patterns": { "match_any": [ "\\bAPIs?\\b", "\\bintegrations?\\b", "\\bintegrat(?:e|ing) (?:with|into)\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "travel", "requirement": "Travel", "postings": 331, "pct_postings": 58.8, "employers": 52, "pct_employers": 45.2, "patterns": { "match_any": [ "\\btravel(?:s|ing|ling|ed)?\\b" ], "removed_before_matching": [ "\\btravel (?:stipend|reimbursement|insurance|allowance|assistance)s?\\b" ], "case_sensitive": false } }, { "id": "ts_js", "requirement": "TypeScript or JavaScript (incl. Node.js)", "postings": 318, "pct_postings": 56.5, "employers": 47, "pct_employers": 40.9, "patterns": { "match_any": [ "\\btypescript\\b", "\\bjavascript\\b", "\\bnode\\.?js\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "llm_genai", "requirement": "LLMs or generative AI", "postings": 247, "pct_postings": 43.9, "employers": 72, "pct_employers": 62.6, "patterns": { "match_any": [ "\\bLLMs?\\b", "\\blarge language models?\\b", "\\bgenerative AI\\b", "\\bgen ?AI\\b", "\\bfoundation models?\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "agents", "requirement": "AI agents or agentic systems", "postings": 231, "pct_postings": 41.0, "employers": 71, "pct_employers": 61.7, "patterns": { "match_any": [ "\\bagentic\\b", "\\bagents?\\b" ], "removed_before_matching": [ "\\bAgent Bricks\\b", "our AI agents accelerate your impact", "\\b(?:recruit\\w*|staffing|travel|insurance|real estate|change|employment|placement|support|human|customer service|contact center|call center)\\s+agents?\\b", "\\buser[- ]agent\\b" ], "case_sensitive": false } }, { "id": "data_pipelines", "requirement": "Data pipelines or ETL", "postings": 203, "pct_postings": 36.1, "employers": 40, "pct_employers": 34.8, "patterns": { "match_any": [ "\\bETL\\b", "\\bELT\\b", "\\bdata pipelines?\\b", "\\bdata engineering\\b", "\\bdata integrations?\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "cloud", "requirement": "AWS, GCP or Azure", "postings": 202, "pct_postings": 35.9, "employers": 43, "pct_employers": 37.4, "patterns": { "match_any": [ "\\bAWS\\b", "\\bAmazon Web Services\\b", "\\bGCP\\b", "\\bGoogle Cloud\\b", "\\bAzure\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "java", "requirement": "Java", "postings": 135, "pct_postings": 24.0, "employers": 16, "pct_employers": 13.9, "patterns": { "match_any": [ "\\bJava\\b(?!\\s*Script)" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "cs_degree", "requirement": "Computer science degree mentioned", "postings": 125, "pct_postings": 22.2, "employers": 38, "pct_employers": 33.0, "patterns": { "match_any": [ "\\b(?:degree|bachelor'?s|B\\.?S\\.?|B\\.?A\\.?|master'?s|M\\.?S\\.?|Ph\\.?D)\\b[^\\n]{0,100}?\\bcomputer science\\b", "\\bcomputer science\\b[^.\\n]{0,40}\\b(?:degree|bachelor'?s|master'?s)\\b", "\\b(?:CS|computer science) degree\\b", "\\bdegree in (?:CS|computer science)\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "rag", "requirement": "RAG, retrieval or vector search", "postings": 109, "pct_postings": 19.4, "employers": 31, "pct_employers": 27.0, "patterns": { "match_any": [ "\\bRAG\\b", "\\bretrieval\\b", "\\bvector (?:database|db|search|store)s?\\b", "\\bembeddings\\b", "\\bembedding models?\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "containers", "requirement": "Kubernetes or Docker", "postings": 108, "pct_postings": 19.2, "employers": 44, "pct_employers": 38.3, "patterns": { "match_any": [ "\\bkubernetes\\b", "\\bk8s\\b", "\\bdocker\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "evals", "requirement": "Evals (LLM or model evaluation)", "postings": 103, "pct_postings": 18.3, "employers": 38, "pct_employers": 33.0, "patterns": { "match_any": [ "\\bevals?\\b", "\\b(?:LLM|model|AI|agent|offline|online|automated)\\s+evaluations?\\b", "\\bevaluation\\s+(?:harness|framework|pipeline|suite|dataset|set|metric|loop|system|tool|infrastructure)s?\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "startup", "requirement": "Startup or founder experience", "postings": 67, "pct_postings": 11.9, "employers": 25, "pct_employers": 21.7, "patterns": { "match_any": [ "\\b(?:experience|background|previously|prior|worked)\\b[^.\\n]{0,150}\\b(?:start-?ups?|early[- ]stage|founders?|founding engineer|founded)\\b", "\\b(?:start-?ups?|early[- ]stage|founders?|founding engineer)\\b[^.\\n]{0,40}\\bexperience\\b", "\\b(?:have|has|you've|previously) (?:founded|started) (?:a|your own) (?:company|startup|start-up|business)\\b" ], "removed_before_matching": [ "\\bexperience the autonomy of a start-?up\\b" ], "case_sensitive": false } }, { "id": "sql", "requirement": "SQL", "postings": 59, "pct_postings": 10.5, "employers": 24, "pct_employers": 20.9, "patterns": { "match_any": [ "\\bSQL\\b" ], "removed_before_matching": [], "case_sensitive": false } }, { "id": "go", "requirement": "Go (Golang)", "postings": 40, "pct_postings": 7.1, "employers": 17, "pct_employers": 14.8, "patterns": { "match_any": [ "\\bgolang\\b", "\\bGo\\b(?=[^.\\n]{0,80}(?:Python|Java|Rust|C\\+\\+|TypeScript|JavaScript|Scala|Kotlin|C#|Ruby|Node|Bash|SQL|Swift|Elixir))", "(?:Python|Java|Rust|C\\+\\+|TypeScript|JavaScript|Scala|Kotlin|C#|Ruby|Node|Bash|SQL|Swift|Elixir)[^.\\n]{0,80}?\\bGo\\b" ], "removed_before_matching": [ "\\bGo[- ]to[- ]market\\b", "\\bGo[- ]live\\b" ], "case_sensitive": true } } ], "years_of_experience": { "postings_stating_years": 328, "pct_postings_stating_years": 58.3, "median_stated_minimum": 5.0, "p25": 4.0, "p75": 6.0, "employers_stating_years": 77, "employer_once_median": 5, "distribution": { "1": 13, "2": 23, "3": 41, "4": 26, "5": 75, "6": 88, "7": 21, "8": 20, "9": 2, "10": 11, "12": 5, "15": 3 }, "method": "first 'N+ years ... experience' phrase in the posting text (N between 1 and 20; for a range like 3-5 years the lower number), per posting; employer-once = median of each employer's median" }, "years_pattern": "\\b(\\d{1,2}|one|two|three|four|five|six|seven|eight|nine|ten)\\s*\\+?\\s*(?:(?:-|–|to)\\s*\\d{1,2}\\s*\\+?\\s*)?(?:\\(\\d+\\)\\s*)?\\+?\\s*years?\\b(?:\\s+or\\s+more)?(?=[^.\\n]{0,60}\\bexperience\\b)", "boilerplate_sentence_patterns": [ "\\bheadquartered\\b", "\\bour mission\\b", "\\bthe makers of\\b", "^\\W*we are an?\\b", "\\bera\\b", "\\bequal (?:employment )?opportunity\\b", "\\bEEO\\b", "\\bfounded in\\b", "\\bbacked by\\b", "\\bvaluation\\b", "\\btrusted by\\b", "\\bcustomers include\\b", "\\bbenefits\\b", "\\babout us\\b", "\\bour (?:platform|products?)\\b", "\\bour AI agents\\b", "\\brely on the\\b", "\\borganizations worldwide\\b", "\\bto learn more\\b" ], "columns": { "company": "employer", "title": "posting title", "ats": "job board", "url": "live posting on the pull date", "location": "first listed location", "us_location": "true, false, mixed or blank", "python": "1 if the posting mentions: Python", "ts_js": "1 if the posting mentions: TypeScript or JavaScript (incl. Node.js)", "sql": "1 if the posting mentions: SQL", "go": "1 if the posting mentions: Go (Golang)", "java": "1 if the posting mentions: Java", "llm_genai": "1 if the posting mentions: LLMs or generative AI", "agents": "1 if the posting mentions: AI agents or agentic systems", "rag": "1 if the posting mentions: RAG, retrieval or vector search", "evals": "1 if the posting mentions: Evals (LLM or model evaluation)", "cloud": "1 if the posting mentions: AWS, GCP or Azure", "containers": "1 if the posting mentions: Kubernetes or Docker", "customer_facing": "1 if the posting mentions: Customer-facing work (phrase match)", "travel": "1 if the posting mentions: Travel", "data_pipelines": "1 if the posting mentions: Data pipelines or ETL", "apis": "1 if the posting mentions: APIs or integrations", "startup": "1 if the posting mentions: Startup or founder experience", "cs_degree": "1 if the posting mentions: Computer science degree mentioned", "years_min_stated": "first stated years-of-experience figure, blank if none" }, "license": "Free to reuse with credit to FDE Dispatch and a link to https://fdedispatch.com/forward-deployed-engineer-skills/", "rows": [ { "company": "Nearform", "title": "Forward Deployed Engineer", "ats": "greenhouse", "url": "https://job-boards.greenhouse.io/nearform/jobs/7795871003", "location": "Italy", "us_location": "False", "python": 1, "ts_js": 0, "sql": 0, "go": 0, "java": 0, "llm_genai": 1, "agents": 1, "rag": 1, "evals": 0, "cloud": 0, "containers": 1, "customer_facing": 0, "travel": 1, "data_pipelines": 0, "apis": 1, "startup": 0, "cs_degree": 0, "years_min_stated": 8 }, { "company": "Nearform", "title": "Forward Deployed Engineer", "ats": "greenhouse", "url": "https://job-boards.greenhouse.io/nearform/jobs/7619114003", "location": "United States", "us_location": "True", "python": 1, "ts_js": 0, "sql": 0, "go": 0, "java": 0, "llm_genai": 1, "agents": 1, "rag": 1, "evals": 0, "cloud": 0, "containers": 1, "customer_facing": 0, 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