Jobs at Appen

Own enterprise sales cycles targeting frontier AI labs, Big Tech, and enterprise AI adopters. Acquire strategic accounts, expand existing relationships, develop territory plans, manage complex RFPs, negotiate enterprise agreements, and coordinate internal teams across delivery, legal, finance, and client partnerships. Build technical and executive relationships, conduct customer meetings and business reviews, maintain CRM discipline, and deliver accurate forecasts and account growth.

Works directly with enterprise clients to design, deploy, and optimize GenAI data solutions. Translates ambiguous requirements into scalable datasets, annotation guidelines, validation workflows, automation, and observable pipelines. Owns delivered data quality and partners with engineering and client machine learning teams to meet accuracy, reliability, and performance standards. Develops reusable quality frameworks and validators for GenAI model development.

Acquire new strategic enterprise customers and expand high-value accounts across AI labs, Big Tech, and enterprise AI organizations. Own full enterprise sales cycles, develop account plans, manage executive and technical stakeholders, create proposals and business cases, lead RFP responses, negotiate enterprise agreements, coordinate internal teams, maintain CRM discipline, and deliver accurate forecasts. Success is measured by account growth, strategic influence, and pipeline development.

Leads Appen’s IT function, including support, enterprise technology, security governance, automation, vendor management and team development. Owns the IT roadmap, Microsoft 365 and SaaS environment, endpoint and identity controls, SOC 2 and ISO 27001 readiness, technology spend, and AI-enabled process improvement. Partners with executives, Engineering and Product to improve service delivery, eliminate manual work, manage risk and build a scalable, high-performing IT organization.

Annotate 2D and 3D objects in imagery, video, and LiDAR point clouds for autonomous-machine perception datasets. Create segmentation, tracking, pose, and keypoint labels while following detailed guidelines and quality standards. Review work, address QA feedback, document tooling and data issues, escalate ambiguities, and contribute to calibration sessions and annotation guideline improvements.

Lead strategic legal AI pilots and research projects from scoping through operationalization. Define legal quality, feasibility, cost, workflows, expert requirements, quality standards, and scalable delivery models. Apply legal judgment to case law, contracts, statutes, regulatory filings, and legal reasoning while addressing privilege, confidentiality, and jurisdictional requirements. Partner with customers, researchers, attorneys, legal experts, and global delivery teams to validate and scale successful programs.

Lead strategic finance pilots and research projects supporting financial AI model training and evaluation. Scope initiatives, assess financial data quality and feasibility, define workflows and expert requirements, establish quality standards, and transition validated pilots into scalable operations. Partner with customers, researchers, and global delivery teams while applying expertise in financial data, markets, accounting, disclosures, and quantitative or risk models.