bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesShieldaiSenior Staff Engineer, Operations Analysis (R4759)

Senior Staff Engineer, Operations Analysis (R4759)

Shieldai · United States · On Site · Active · Lever

Job facts

FieldValue
CompanyShieldai
TitleSenior Staff Engineer, Operations Analysis (R4759)
Normalized title-
Department / teamX-BAT Division / X-BAT Engineering - Mechanical
LocationUnited States
Work modelOn Site
Employment typeFull Time Employee
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-04-14 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Shieldai.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in X-BAT Division.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyShieldai
Source6d55b205-70f9-48ea-ac2f-da1c04a3da67
ATS providerLever

Description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a Senior Lead Operational Analyst to contribute to the modeling, simulation, and analysis of Shield AI’s aircraft systems. In this role, you will perform analysis at the component, system, mission and campaign levels to evaluate the effectiveness, survivability, and operational impact of our aircraft across multiple domains, missions and applications. You will collaborate closely with engineering, product, and defense stakeholders to assess system performance, inform design trade-offs, and improve mission outcomes. This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI’s AI-powered platforms perform in realistic and contested operational environments. #LI-AD6 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. What you'll do: Plan, own and execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios. Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments. Collaborate with engineering teams and product managers to translate operational findings into actionable system insights. Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments. Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks. Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments. Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints. Contribute to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities. Monitor emerging threats and operational challenges relevant to autonomous and air combat systems. Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders. Apply modern compute and development best practices (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines. Be a force multiplier by coaching and developing incoming talent. Required qualifications: Bachelor’s degree in science, technology, engineering or math domain. 9+ years of experience in operational analysis, modeling & simulation, operations research, or related defense or aerospace roles. Active Secret at a minimum. Preferred Top-Secret clearance (or ability to obtain one). Preferred qualifications: Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling. Experience with evaluating strategic development and analysis goals for multi-mission/multi-domain applicability. Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing. Experience leading a product effort from pre-shaping to tactical deployment Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred) Experience developing technical expertise in a team to execute analyses for system design and analysis.

Full job record

Job ID91c19ec7e3e9cdd0c367fa2fb26789a2d4fbd349
Org IDd949636a-8984-44c3-b786-01eba53cd619
Source ID6d55b205-70f9-48ea-ac2f-da1c04a3da67
Board ID6d55b205-70f9-48ea-ac2f-da1c04a3da67
Providerlever
Provider Job Keya9b38ec7-eaeb-4881-bc46-722e3bfd06b8
TitleSenior Staff Engineer, Operations Analysis (R4759)
Normalized Title
Statusactive
Activeyes
Location TextUnited States
DepartmentX-BAT Division
TeamX-BAT Engineering - Mechanical
Employment TypeFull Time Employee
Workplace Typeon_site
Remote Policy
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/shieldai/a9b38ec7-eaeb-4881-bc46-722e3bfd06b8
Apply URLhttps://jobs.lever.co/shieldai/a9b38ec7-eaeb-4881-bc46-722e3bfd06b8/apply
First Seen At2026-05-29 07:00:33Z
Last Seen At2026-06-06 07:56:06Z
Last Checked At2026-06-06 07:56:06Z
Last Changed At2026-05-29 07:00:33Z
Inactive At
Source Posted At2026-04-14 01:24:17Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=shieldai/date=2026-06-06/2026-06-06T07-56-03-095Z-dafa42e0947b7593adb56a07121d27ed8112dbacd07fba63ef2ce96b9b4ed0f8.json
Event Fields
{
  "content_hash": "6bcc02c0049233edf1db3c3f3d910a8e14c2f9f8d33bb4bab8ba03eaaa8b9cfa",
  "source_hash": "29b2bc3a694d3d72462b93aa40b4b235f9ba560f51f9f457c41fa27fda57e96b",
  "last_changed_at": "2026-05-29T07:00:33.142Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "United States",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:56:06.647Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "United States",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "What you'll do:",
      "content": "\n<li>Plan, own and execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.</li>\n<li>Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.</li>\n<li>Collaborate with engineering teams and product managers to translate operational findings into actionable system insights.</li>\n<li>Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.</li>\n<li>Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&amp;S frameworks.</li>\n<li>Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.</li>\n<li>Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.</li>\n<li>Contribute to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.</li>\n<li>Monitor emerging threats and operational challenges relevant to autonomous and air combat systems.</li>\n<li>Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders.&nbsp;</li>\n<li>Apply modern compute and development best practices (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines.</li>\n<li>Be a force multiplier by coaching and developing incoming talent.</li>\n"
    },
    {
      "text": "Required qualifications:",
      "content": "<div>\n\n<li>Bachelor’s degree in science, technology, engineering or math domain.</li>\n<li>9+ years of experience in operational analysis, modeling &amp; simulation, operations research, or related defense or aerospace roles.</li>\n<li>Active Secret at a minimum. &nbsp;Preferred Top-Secret clearance (or ability to obtain one).</li>\n\n</div>"
    },
    {
      "text": "Preferred qualifications:",
      "content": "<div>\n\n<li>Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.\n\n</li><li>Experience with evaluating strategic development and analysis goals for multi-mission/multi-domain applicability.</li>\n\n\n<li>Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing.\n\n</li><li>Experience leading a product effort from pre-shaping to tactical deployment</li>\n\n\n<li>Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred)\n\n</li><li>&nbsp;Experience developing technical expertise in a team to execute analyses for system design and analysis.</li>\n\n\n\n</div>"
    }
  ],
  "country": "US",
  "createdAt": 1776129857597,
  "updatedAt": null,
  "categories": {
    "team": "X-BAT Engineering - Mechanical",
    "location": "United States",
    "commitment": "Full Time Employee",
    "department": "X-BAT Division",
    "allLocations": [
      "United States",
      "Dallas, Texas",
      "Washington, DC"
    ]
  },
  "salaryRange": null,
  "workplaceType": "onsite"
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/91c19ec7e3e9cdd0c367fa2fb26789a2d4fbd349?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/d949636a-8984-44c3-b786-01eba53cd619JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/6d55b205-70f9-48ea-ac2f-da1c04a3da67JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/91c19ec7e3e9cdd0c367fa2fb26789a2d4fbd349/eventsJSON