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AI Data Operations Lead
Figure · San Jose, CA · On Site · Active · $175,000–$200,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Figure |
| Title | AI Data Operations Lead |
| Normalized title | - |
| Department / team | Data Collection |
| Location | San Jose, CA, United States |
| Work model | On Site |
| Employment type | - |
| Salary | $175,000–$200,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-03-19 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Figure. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Jose. | Open |
| Department jobs | Active postings in Data Collection. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Figure |
| Source | ec3d003b-4818-49c9-8f55-34d7814d0ea4 |
| ATS provider | Greenhouse |
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
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| Org ID | 8ed9a8c5-0629-453f-8809-f7f8b737c26d |
| Source ID | ec3d003b-4818-49c9-8f55-34d7814d0ea4 |
| Board ID | ec3d003b-4818-49c9-8f55-34d7814d0ea4 |
| Provider | greenhouse |
| Provider Job Key | 4665206006 |
| Title | AI Data Operations Lead |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Jose, CA |
| Department | Data Collection |
| Team | — |
| Employment Type | — |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | San Jose |
| Salary Raw | salary range for this full-time position is between $175,000 - $200,000 annually |
| Salary Min | 175,000 |
| Salary Max | 200,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/figureai/jobs/4665206006 |
| Apply URL | https://job-boards.greenhouse.io/figureai/jobs/4665206006 |
| First Seen At | 2026-05-29 22:42:44Z |
| Last Seen At | 2026-06-06 07:35:37Z |
| Last Checked At | 2026-06-06 07:35:37Z |
| Last Changed At | 2026-05-29 22:42:44Z |
| Inactive At | — |
| Source Posted At | 2026-03-19 20:43:44Z |
| Source Updated At | 2026-05-04 21:54:23Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=figureai/date=2026-06-06/2026-06-06T07-35-36-790Z-8d80f6fe6195f1f780fa4a057e034ebe9fde3b0209040ec176da03388387872b.json |
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