Global Account Director
About the job
- At least 5 years of experience selling and generating demand for enterprise services; experience selling data services, managed services, or professional services to AI/ML buyers is strongly preferred.
- Experience and relationships selling to executives and teams training frontier AI models at organizations such as Google, Microsoft, OpenAI, Anthropic, Apple, or Meta.
- Previous experience selling into AI/ML, data labeling, data annotation, RLHF, or related human-data services is required.
- Comfort selling complex, high-touch services deals where pricing, scope, and delivery model are negotiated and customized per account rather than following a standard licensing motion.
- Ability to sell technology and business value to individual contributors, mid-level management, and C-level executives.
- Experience with MEDDICC and enterprise selling methodologies such as Command of the Message.
- A consistent track record of exceeding quota.
- Ability to generate pipeline through inbound discovery calls, outbound prospecting, working with sales development representatives, and working with partners.
- Ability to travel occasionally to meet customers and attend industry events.
- Develop pipeline using demand generation, prospecting tools, professional networking, and enterprise selling methodology.
- Build account plans and manage a territory of target enterprises training and deploying frontier AI models.
- Identify new opportunities in new accounts and expand existing accounts, including through new use cases, data types, and modalities within current customers.
- Research and present business intelligence about customers' and prospects' model development roadmaps, data needs, and where human data services fit into their pipeline.
- Scope and shape services engagements, including specialized labeling workforces, data pipelines, and project structures aligned to customer model needs.
- Help develop and continuously improve prospecting and selling motions.
- Own deals from prospecting through closing, and maintain relationships with delivery and customer success through renewals and expansions.
- Strong preference for candidates who have sold data services, managed services, or professional services to AI/ML buyers.
About the company
SuperAnnotate provides an end-to-end data infrastructure platform for creating, managing, and evaluating high-quality AI training datasets, offered as a SaaS product with optional managed services for enterprise data pipelines. It supports multimodal data (images, video, text, audio) in a single interface and includes workflow automation, team management, and quality control, while integrating with a company’s existing data sources and model training pipelines; it also provides a global network of vetted annotators for scalable labeling projects. The platform’s key differentiator is combining comprehensive data infrastructure with managed annotation, strong quality control, automation, multimodal support, and enterprise-grade integration through a scalable human-in-the-loop workflow. The goal is to help enterprises build and deploy high-quality AI models faster by unifying data creation, curation, labeling, and evaluation in one platform.
Company Size
201-500
Company Stage
Series B
Total Funding
$67M
Headquarters
San Francisco, California
Founded
2018
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Simplify's Take
What believers are saying
- 2026 GetYourGuide and Wizard case studies show evaluation adoption and cost reductions.
- SuperAnnotate won Databricks' 2025 ISV Customer Impact Partner of the Year.
- Dell's July 2025 $13.5 million extension gave fresh capital for enterprise expansion.
What critics are saying
- Meta's June 2025 Scale AI deal intensified competition for enterprise data workflows.
- Public pricing remains quote-only in 2026, slowing trials and squeezing midmarket adoption.
- Reliance on managed services risks commoditization if buyers internalize labeling by 2027.
What makes SuperAnnotate AI unique
- Agent Hub, launched 2025, unifies annotation, curation, and evaluation workflows.
- SuperAnnotate supports text, image, video, and audio in one enterprise platform.
- 2026 Databricks OfficeQA benchmark work proves deep enterprise multimodal integration.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- 401(k) Retirement Plan
- Unlimited Paid Time Off
- Paid Holidays
- Stock Options
- Professional Development Budget
- Referral Program