Strategic Sourcing Manager, Data Center Infrastructure, Electrical & Mechanical
OpenAI · San Francisco, CA · Cloud, IT and infrastructure · posted today
OpenAI · Washington, DC · posted 432 days ago
By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.
| Employer | OpenAI |
|---|---|
| Location | Washington, District of Columbia |
| Field | Technology › Data, analytics and AI |
| Level | not stated |
| Source category | OpenAI for Gov, OpenAI for Gov |
| Posted | 2025-09-03 (432 days ago) |
| Work arrangement | A remote or flexible location is listed |
| Pay | Not published in the source listing |
About the team
The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety.
About the role
Forward Deployed Software Engineers (FDSEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers—where model performance matters, delivery is urgent, and ambiguity is the default. You’ll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams.
You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you’ll identify reusable patterns, codify best practices, and share field signal that influences OpenAI’s roadmap.
This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers.
In this role you will
Own technical delivery across multiple government deployments, from first prototype to stable production.
Deeply embed with public sector customers to design and build novel applications powered by OpenAI models.
Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications.
Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact.
Proactively guide customers on maximizing business and operational value from their applications.
Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale.
Scope work, sequence delivery, and remove blockers early—making trade-offs between scope, speed, and quality.
Contribute directly in the code when clarity or momentum depends on it.
Codify working patterns into tools, playbooks, or building blocks others can use.
Share field feedback with Research and Product to influence model and product development.
Keep teams moving through clarity, judgment, and consistent follow-through.
You might thrive in this role if you
Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments.
Active TS/SCI clearance or equivalent
Have scoped and delivered complex systems in fast-moving or ambiguous contexts.
Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks.
Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure.
Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience.
Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences.
Spot risks early, adjust without slowing down, and model calm judgment when stakes are high.
Are humble, collaborative, and eager to help others with empathy.
Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Field: Technology Sub-niche: Data, analytics and AI All jobs at OpenAI Jobs in District of Columbia Jobs in Washington, DC Washington city guide District of Columbia state guide District of Columbia economy
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This is a — role in the Technology field (Data, analytics and AI) at OpenAI.
We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
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The job is in Washington, DC. Below is what the official statistics say about living and working there.
How Washington compares. Among the 1 largest places in District of Columbia, Washington is #1 by population, #1 for rent (#1 = cheapest), #1 for household income (#1 = highest), #1 for college degrees (#1 = most). Its county, District of Columbia, is #1 of 1 counties for average pay ($122,982).
Washington has 681,294 residents (ACS 2020–2024), about 100.0% of the population of District of Columbia. It covers 61 square miles of land, which works out to roughly 11,146 people per square mile. The median age is 34.9, about the same as the state median (34.9 against 34.9).
The median gross rent is $1,954 a month (rent plus utilities), about the same as the state median ($1,954 against $1,954). Over a year that is 21.3% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $737,100, which is 6.7 times the median household income ($109,870); a ratio above 5 usually means buying is out of reach without savings or a second income. 41.5% of households own their home, about the same as the state average (41.5% against 41.5%).
The Washington-Arlington-Alexandria, DC-VA-MD-WV metropolitan area has 3,136,190 jobs in the BLS wage survey, and the median pay across all occupations is $71,060 a year, 39% above the national median ($71,060 against $50,980). The biggest occupation groups are business and financial operations (369,190 jobs, median $105,260); management (319,760 jobs, median $165,010); office and administrative support (290,050 jobs, median $53,250). The area is most specialised in legal (2.6 times) and computer and mathematical (2.2 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are legal ($175,070) and management ($165,010). In 2026M09 the unemployment rate of District of Columbia was 5.3%. 70.9% of residents aged 16 and over are in the labour force. The city lies in District of Columbia; its jobs, pay by industry and GDP are on the county page.
Among workers, 27.4% drive alone, 20.3% use public transit, 9.5% walk, 33.0% work from home. 19.0% of workers commute 45 minutes or more, about the same as the state average (19.0% against 19.0%).
64.2% of adults aged 25 and over hold a bachelor's degree or higher, about the same as the state share (64.2% against 64.2%). 14.3% of residents were born outside the United States, about the same as the state share (14.3% against 14.3%). The poverty rate is 15.4%, about the same as the state rate (15.4% against 15.4%).
The warmest month is Jul, averaging 78°F (25.8°C), and the coolest is Jan at 32°F (0.1°C). About 1,152 mm (45 inches) of precipitation falls in a year; Jun is the wettest month (118 mm) and Jan the driest (67 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Closest cities in this guide: Chillum (5 miles, rent 11% lower); Arlington (5 miles, rent 19% higher); Hyattsville (5 miles, rent 6% lower); Takoma Park (5 miles, rent 27% lower). Rent differences are against Washington; use the Compare tab to put any two cities side by side.
Full guide to Washington →District of Columbia guideAll jobs in Washington
These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.
Places within 50 miles (straight line) of Washington, DC that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
| Place ⇅ | Distance from the job city ⇅ | Median rent ⇅ | Median home value ⇅ | Median household income ⇅ | Commute 45+ min ⇅ | Rent as % of occupation pay ⇅ | Open jobs there ⇅ |
|---|---|---|---|---|---|---|---|
| Washington, DC | 0 mi | $1,954 | $737,100 | $109,870 | 19.0% | n/a | Jobs |
| Chillum, MD | 5 mi | $1,735 | $393,600 | $79,864 | 31.4% | n/a | — |
| Arlington, VA | 5 mi | $2,322 | $895,000 | $142,114 | 14.7% | n/a | Jobs |
| Hyattsville, MD | 5 mi | $1,835 | $481,500 | $91,941 | 28.8% | n/a | Jobs |
| Takoma Park, MD | 5 mi | $1,432 | $749,200 | $108,136 | 26.3% | n/a | — |
| Langley Park, MD | 6 mi | $1,707 | $357,200 | $85,321 | 37.6% | n/a | — |
| Suitland, MD | 6 mi | $1,707 | $334,800 | $71,585 | 33.0% | n/a | — |
| Silver Spring, MD | 7 mi | $1,913 | $643,300 | $99,860 | 28.6% | n/a | Jobs |
| East Riverdale, MD | 7 mi | $1,716 | $361,400 | $81,831 | 26.2% | n/a | — |
| Alexandria, VA | 7 mi | $2,089 | $735,100 | $119,681 | 18.0% | n/a | Jobs |
| Landover, MD | 7 mi | $1,735 | $313,900 | $72,100 | 29.2% | n/a | — |
| Bailey's Crossroads, VA | 7 mi | $2,021 | $416,600 | $88,483 | 16.0% | n/a | — |
| College Park, MD | 8 mi | $1,912 | $437,900 | $69,721 | 19.5% | n/a | — |
| Bethesda, MD | 8 mi | $2,469 | $1,169,900 | $192,237 | 17.3% | n/a | Jobs |
| Oxon Hill, MD | 8 mi | $1,721 | $359,800 | $93,252 | 37.2% | n/a | — |
| Huntington, VA | 8 mi | $2,062 | $541,900 | $99,956 | 26.4% | n/a | — |
| Camp Springs, MD | 9 mi | $2,231 | $415,000 | $120,456 | 38.7% | n/a | — |
| Falls Church, VA | 9 mi | $2,190 | $1,055,600 | $143,262 | 23.7% | n/a | — |
| Greenbelt, MD | 9 mi | $1,848 | $255,400 | $85,997 | 27.7% | n/a | — |
| Rose Hill, VA | 10 mi | $2,475 | $687,600 | $174,950 | 27.5% | n/a | — |
We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:
Cybersecurity (713) Software engineering (4089) Cloud, IT and infrastructure (1040) Product management (836)
How far Washington, DC is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.
| From ⇅ | Straight-line distance (miles) ⇅ | Population of that city ⇅ |
|---|---|---|
| Philadelphia, PA | 126 mi | 1,579,706 |
| New York, NY | 204 mi | 8,483,844 |
| Columbus, OH | 327 mi | 914,802 |
| Charlotte, NC | 331 mi | 903,844 |
| Indianapolis, IN | 491 mi | 885,860 |
| Chicago, IL | 597 mi | 2,711,226 |
| Jacksonville, FL | 648 mi | 977,670 |
| Oklahoma City, OK | 1,150 mi | 697,125 |
| Dallas, TX | 1,181 mi | 1,307,930 |
| Fort Worth, TX | 1,212 mi | 963,194 |
| Houston, TX | 1,219 mi | 2,328,253 |
| Austin, TX | 1,317 mi | 979,539 |
| San Antonio, TX | 1,387 mi | 1,479,835 |
| Denver, CO | 1,484 mi | 718,877 |
| Phoenix, AZ | 1,976 mi | 1,642,323 |
| San Diego, CA | 2,267 mi | 1,389,526 |
| Los Angeles, CA | 2,305 mi | 3,857,263 |
| Seattle, WA | 2,324 mi | 754,195 |
| San Jose, CA | 2,414 mi | 990,138 |
| San Francisco, CA | 2,469 mi | 830,235 |
| City ⇅ | Straight-line distance ⇅ | Open jobs ⇅ |
|---|---|---|
| Arlington, VA | 5 mi | 257 |
| Chevy Chase, MD | 6 mi | 3 |
| Alexandria, VA | 7 mi | 7 |
| McLean, VA | 10 mi | 282 |
| Springfield, VA | 12 mi | 1 |
| Reston, VA | 18 mi | 29 |
| Ashburn, VA | 26 mi | 17 |
| Baltimore, MD | 35 mi | 112 |
| Newark, DE | 86 mi | 8 |
| Wilmington, DE | 98 mi | 6 |
| Richmond, VA | 98 mi | 9 |
| Scottsville, VA | 110 mi | 4 |
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A private-sector role in technology (data, analytics and ai) listed 432 days ago. The full description is on this page and on the employer's page.
Washington, DC. A remote or flexible location is listed; confirm with the employer which states are accepted.
Use the "View this job and apply on the employer's page" button. AtiveSite does not receive applications.
The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in Washington is $1,954 a month and median household income $109,870 (ACS 2020–2024).
It was posted on 2025-09-03 (432 days ago). Jobs older than 90 days are not shown.
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