Encord

Finance Associate responsible for bookkeeping, payables, receivables, invoicing, reconciliations, and month-end support. The role suits an early-career finance professional with a relevant degree, 1–2 years of experience, and strong accuracy and organizational skills.

Design and deliver evidence-based training and assessments for a distributed workforce producing human data for AI projects. The role requires 3–6 years of operational training experience, strong live facilitation, adult-learning expertise, and the ability to measure programmes against quality and throughput outcomes.

Own end-to-end delivery of complex human data and annotation programs for AI customers, translating ML requirements into scalable workflows while managing quality, throughput, timelines, and distributed annotator performance. Requires 3–7 years of operational and analytical experience plus Python or SQL proficiency.

Own Encord’s data-quality standards, automated evaluation systems, and audit operations for human-generated AI data. The role combines hands-on Python and SQL development with statistical quality measurement and leadership of a distributed audit team.

Leads the design of annotator training and screening systems, establishing assessment methodology and using production data to improve learner readiness and hiring decisions. Requires 5+ years of professional experience, including 2+ years in instructional design, curriculum, assessment, or related EdTech work.

Build and own scalable backend infrastructure and distributed data systems for Encord’s Foundations team. The role requires 5+ years of backend experience, production service ownership, and strong expertise in distributed systems and high-level programming.

Leads the architecture and operation of large-scale distributed backend infrastructure, including databases, processing systems, APIs, and migrations. The role requires 10+ years of experience, principal-level technical influence, and deep expertise in reliability and systems at scale.

DevOps Engineer embedded in platform teams to build and operate scalable AI infrastructure on GCP/AWS. Own CI/CD, Kubernetes, observability, reliability (SLIs/SLOs), automation, and performance at petabyte scale. Requires 4-5 years production DevOps/SRE experience.

Own technical strategy, discovery, demonstrations, and proof-of-concepts for complex enterprise AI customers. The role requires production-quality Python, cloud infrastructure expertise, machine learning knowledge, and the ability to communicate with both technical practitioners and senior business stakeholders.

Customer Engineer responsible for owning technical customer support, investigating issues with backend systems/APIs, prototyping solutions with Python SDK, and collaborating with engineering/product teams to improve the AI data platform. Requires 2-4 years in technical support roles, strong Python/SQL skills, and customer empathy.

Full-cycle Account Executive selling Encord's data platform into Physical AI teams at robotics, autonomous vehicle, and research-driven companies. Own pipeline to close, build relationships with technical/executive buyers, and shape the go-to-market strategy in this high-growth vertical.

Leads the creation and scaling of Encord’s India delivery hub, including organisation design, operating processes, hiring standards, employer brand, and culture. The role requires 10–15 years of general management or site leadership experience, strong talent judgment, and comfort operating in ambiguity.

Senior full-stack engineer building and owning foundational systems end-to-end at an AI data platform startup. Requires strong experience across the stack and comfort with autonomy in a high-growth environment.

Full-stack engineer building and scaling Encord's AI data platform. Own projects end-to-end across Python/React/K8s stack in a high-growth, high-impact environment.

Own strategy, roadmap, and customer outcomes for a product area within an AI data infrastructure platform. The role requires 2–5 years of product management experience, enterprise B2B SaaS expertise, strong customer discovery skills, and comfort operating independently in an ambiguous environment.

Own and grow a portfolio of strategic AI/ML customer accounts for Encord's data platform, driving expansion, adoption, and value realization through technical stakeholder relationships. Build the post-sales function as a founding NYC team member; requires 2-5 years post-sales SaaS experience with proven expansion track record.

Build and operate foundational backend and frontend systems, owning projects from architecture through deployment and user impact measurement. The role requires strong production full-stack experience, deep fluency in a high-level language, cloud and Kubernetes familiarity, and comfort working autonomously in a high-growth environment.

Builds end-to-end product features across backend systems and polished front-end interfaces, including tooling for machine-learning workflows. The role requires strong full-stack experience, fluency in Python or TypeScript, product ownership, and comfort working autonomously in a fast-paced environment.

Build and own high-performance frontend interfaces for visualising and annotating multimodal AI data, including complex 3D/4D browser scenes. The role requires strong production frontend experience with TypeScript and React, plus comfort working across the stack and autonomously on ambiguous technical problems.

Build and operate performant, reliable software across backend services and frontend interfaces, owning projects from architecture through deployment and user impact. The role requires strong production full-stack experience, proficiency in a high-level language, and familiarity with cloud infrastructure and Kubernetes.

Builds and owns full-stack products for the Physical AI data stack, with a focus on high-performance frontend experiences, 3D visualisation, and spatial or sensor data. The role requires strong software engineering experience, Python or TypeScript proficiency, and familiarity with cloud infrastructure and Kubernetes.

Build and own high-performance editor interfaces for visualizing and annotating multimodal AI data, including complex 3D/4D browser scenes. The role requires strong production frontend experience with TypeScript and React, plus the ability to work across the stack in an autonomous, collaborative environment.

Forward Deployed Engineer who owns technical deployments of the Encord AI data platform into strategic customer environments. Designs, builds, and ships data integrations and solutions for complex ML pipelines while managing direct client relationships and feeding insights back to the product roadmap. Requires 3-8 years software engineering experience with strong system design and autonomy.

Build and deploy production-grade integrations for strategic customers, owning system design, troubleshooting, and end-to-end delivery across complex data and ML pipelines. The role requires 3–8 years of software engineering experience, API and data integration expertise, strong communication, and high autonomy.

Own end-to-end post-sales deployment, adoption, and success for Encord's AI data platform with enterprise customers. Manage complex technical deployments, drive time-to-value and expansion, and act as the voice of the customer to influence product while partnering with Sales on renewals.

Supports the co-founders and senior team across strategic research, growth analytics, communications, recruiting, events, and customer-success planning. The role requires at least two years in a demanding startup, consulting, finance, or similarly execution-focused environment, plus strong analytical and communication skills.

Own end-to-end recruiting for sales, marketing, partnerships, and other commercial teams, partnering with senior leaders to build pipelines and improve hiring velocity. The role requires 5+ years of full-cycle recruiting experience, strong outbound sourcing, and sound candidate judgment.

Owns end-to-end deployment of AI data platform for strategic customers, building data integrations, guiding best practices, running demos, and collaborating with internal teams to drive adoption and inform product roadmap. Requires 3-8 years in technical client-facing roles with API/integration experience.

Manages and optimizes client data annotation workflows for AI models, ensuring high-quality data through process design, auditing, and cross-functional collaboration. Requires 3-7 years experience, Python/SQL proficiency, and strong project management in AI operations.

Early commercial hire owning top/middle funnel activities: account prioritization, multi-channel outbound prospecting, and partnering with AEs to progress opportunities. Requires 1-3 years customer-facing experience, top performance, and comfort with ambiguity.

Founding sales role owning full-cycle deals into Physical AI teams (robotics, AV, research). Requires 3-7 years B2B SaaS sales experience selling to technical buyers.

Founding sales leader owning full-cycle sales of AI infrastructure platform to mid-market and enterprise AI teams in NYC. Builds brand, network, and pipeline from scratch while driving high-impact deals with technical buyers. Requires 2-5 years B2B SaaS closing experience.

Former technical founders work closely with cofounders to drive high-leverage opportunities across product, engineering, GTM, and operations. Requires proven experience founding tech companies, strong technical background with production coding, and entrepreneurial ownership of ambiguous problems.

Works directly with the cofounders to identify and execute high-leverage initiatives across product, engineering, go-to-market, and operations. The role is intended for a former technical founder with production coding experience, strong ownership, and a track record of building products and teams.