bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesFigureAI Data Operations Lead

AI Data Operations Lead

Figure · San Jose, CA · On Site · Active · $175,000–$200,000 / year · Greenhouse

Job facts

FieldValue
CompanyFigure
TitleAI Data Operations Lead
Normalized title-
Department / teamData Collection
LocationSan Jose, CA, United States
Work modelOn Site
Employment type-
Salary$175,000–$200,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-19 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Figure.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Jose.Open
Department jobsActive postings in Data Collection.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

CompanyFigure
Sourceec3d003b-4818-49c9-8f55-34d7814d0ea4
ATS providerGreenhouse

Description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Our robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are looking for an AI Data Operations Lead to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most strategic functions at Figure, and this is a foundational role within it. You will solve zero-to-one problems and coordinate the development of new hardware, software, and operational systems with engineering and product. Responsibilities: Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting volume, quality, and velocity targets, building the systems that get us there, and partnering across engineering, product, and ops to make it happen. Specific responsibilities include: Owning contributor acquisition, activation, and retention strategy and execution Identifying and launching in new geographies, managing localization, partnerships, and community building to establish presence in target regions Coordinating with engineering, product, and ops to develop the new hardware, software, and operational systems Owning your category’s data dashboard — tracking volume, quality, and throughput metrics daily, identifying bottlenecks, and shipping operational fixes fast Sourcing, negotiating, and managing relationships with local partners, agencies, and vendors to accelerate growth Serving as the connective tissue between your contributors and internal teams — surfacing hardware/software friction, translating field feedback into actionable product improvements, and advocating for your workstreams' needs Requirements: 4+ years in investment banking, management consulting, corporate development, growth, or startup operations roles, ideally with exposure to a frontier technology business Comfortable rapidly building and deploying apps/agents using AI coding tools (zero technical academic background necessary) Demonstrated ability to own outcomes Exceptional written and verbal communication skills Experience working across cultures or in international markets Highly organized with strong project management instincts — comfortable managing multiple contributors, sessions, or sites simultaneously and keeping all plates spinning A commitment to 5 days/week in-office collaboration Bonus Qualifications: Experience scaling consumer mobile applications or marketplace platforms Background in AI/ML companies or understanding of data collection for machine learning Prior experience in emerging markets or with distributed workforces Fluency in additional languages Experience managing physical-world operations (events, field crews, hardware logistics) in addition to digital platforms The US base salary range for this full-time position is between $175,000 - $200,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Full job record

Job IDd3cae91e006c71b946ba09a015e820d70ceab66f
Org ID8ed9a8c5-0629-453f-8809-f7f8b737c26d
Source IDec3d003b-4818-49c9-8f55-34d7814d0ea4
Board IDec3d003b-4818-49c9-8f55-34d7814d0ea4
Providergreenhouse
Provider Job Key4665206006
TitleAI Data Operations Lead
Normalized Title
Statusactive
Activeyes
Location TextSan Jose, CA
DepartmentData Collection
Team
Employment Type
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Jose
Salary Rawsalary range for this full-time position is between $175,000 - $200,000 annually
Salary Min175,000
Salary Max200,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/figureai/jobs/4665206006
Apply URLhttps://job-boards.greenhouse.io/figureai/jobs/4665206006
First Seen At2026-05-29 22:42:44Z
Last Seen At2026-06-06 07:35:37Z
Last Checked At2026-06-06 07:35:37Z
Last Changed At2026-05-29 22:42:44Z
Inactive At
Source Posted At2026-03-19 20:43:44Z
Source Updated At2026-05-04 21:54:23Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=figureai/date=2026-06-06/2026-06-06T07-35-36-790Z-8d80f6fe6195f1f780fa4a057e034ebe9fde3b0209040ec176da03388387872b.json
Event Fields
{
  "content_hash": "d2642dd00a11b23c97f498e1d944d16b35738ba1d4a0084d252ad0060be889c0",
  "source_hash": "7b3c6eb3c8ede9901ceeaadd88ac59e8c3429b172213bd5d6bd7732629842e6e",
  "last_changed_at": "2026-05-29T22:42:44.887Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "San Jose, CA",
    "city": "San Jose",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": 200000,
  "salary_min": 175000,
  "inferred_at": "2026-06-06T07:35:36.976Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Jose, CA",
      "city": "San Jose",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "title": "AI Data Operations Lead",
  "offices": [
    {
      "id": 4000271006,
      "name": "HQ",
      "location": "San Jose, California, United States",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "San Jose, CA"
  },
  "metadata": [],
  "updated_at": "2026-05-04T17:54:23-04:00",
  "departments": [
    {
      "id": 4026621006,
      "name": "Data Collection",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Figure",
  "requisition_id": 4539721006,
  "first_published": "2026-03-19T16:43:44-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/d3cae91e006c71b946ba09a015e820d70ceab66f?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/8ed9a8c5-0629-453f-8809-f7f8b737c26dJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/ec3d003b-4818-49c9-8f55-34d7814d0ea4JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/d3cae91e006c71b946ba09a015e820d70ceab66f/eventsJSON