Company brief · updated 2026-10-18
encord.com · B2B · Encord is the multimodal data layer for physical AI. Manage, curate, annotate, and align petabytes of data - from sensor streams to video to text. Trusted by 300+ AI teams including Woven by Toyota, AXA, UiPath, Zipline, and more.
Today: Site describes Encord as "The data infrastructure layer for Physical AI and Enterprise teams", with a "Built for Physical AI" section
Roles: Account Executive, Physical AI · Special Projects, GTM · Special Projects, GTM · Commercial Associate, Physical AI
Requirements mention: selling technically complex solutions · robotics · autonomous systems · pipeline generation · Encord's platform
Inference: a dedicated Physical AI sales team; one posting calls it the 'founding sales team' for the Physical AI offering. The four GTM roles are spread across London, New York and San Francisco.
Today: Site describes Encord as "The data infrastructure layer for Physical AI and Enterprise teams"
Roles: Senior Engineer - High Performance Data Systems · Principal Engineer - Backend · Senior Software Engineer - Backend · Quant Developer in AI
Requirements mention: replication · partitioning · queuing · caching · consistency · distributed systems · large-scale backend infrastructure · owning services in production
Inference: a larger core backend team in London, which the postings say other Encord teams build on.
Today: Site lists "Label lineage and quality controls built in for production scale"
Roles: Quality Systems Lead · Strategic Projects Lead
Requirements mention: LLM-as-judge · inter-rater agreement · quality management frameworks · automated evaluation
Inference: quality measurement built into the product as its own area, alongside annotation.
Today: Site says "Trusted by 300+ AI teams including Woven by Toyota, AXA, UiPath, Zipline, and more"
Roles: Forward Deployed Software Engineer · Customer Engineer · Solutions Engineer
Requirements mention: Python SDK · REST APIs · SDKs · API integrations · Encord platform
Inference: more engineers working directly with customers on integration, custom tooling and technical support for the platform.
Today: Site says "Native video annotation, LiDAR, audio, text, and sensor fusion in the same workflow"
Roles: Senior Software Engineer, Front-End Leaning
Requirements mention: WebGL · Canvas · 3D rendering · 3D/4D scenes
No inference drawn; one role.
Today: Site heading "Data-as-a-Service for production-grade AI" and "Access expert annotators, domain specialists, and managed collection pipelines"
Roles: Product Engineer, DaaS · Technical Program Manager · General Manager
Requirements mention: annotation standards · distributed workforce · annotation, evaluation or model-training workflows · site leadership · project delivery
Inference: growing capacity to deliver labelled data as a managed service, including scaling the India delivery hub named in the General Manager posting.
| Department | Open |
|---|---|
| EPD | 17 |
| GTM | 16 |
| G&A | 6 |
Of 39 open roles, 17 are in EPD, 16 in GTM and 6 in G&A, and 20 are based in London, so London is the main hiring hub.
Seniority: Senior 11, mid 16, junior 4, manager 2, director 3, principal 1, staff 1, unknown 1.
Skills named most: Python, GCP, Kubernetes, PyTorch, TypeScript, React, CUDA, Ray, distributed systems, B2B SaaS, backend services, computer vision
Locations: London 20, San Francisco 11, New York 7, India 1; all 39 roles are on-site, with 0 remote.
If you're applying: If you work in backend or distributed systems, the London Foundations roles are the clearest match. If you work in sales, the Physical AI roles are the most specific. If you run annotation or delivery programmes, look at the Technical Program Manager and DaaS roles. Check each posting's listed skills before applying.
If you're selling or recruiting: Call on the Physical AI sales build-out (four GTM roles), the Foundations backend hiring (four EPD roles) and the managed data delivery roles (DaaS, Technical Program Manager, India General Manager). Velocity is accelerating: 11 roles opened in the last 30 days, 6 in the prior 30 days, none closed.