Full-Time
Strategic Account Executive
Posted on 9/5/2025
SuperAnnotate AI
201-500 employees
End-to-end data infrastructure for AI datasets
Compensation Overview
$350k - $450k/yr
Remote in USA
Remote
 Sales & Account Management (1) |
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- Minimum of five years of experience selling and generating demand for enterprise software solutions.
- Experience with professional services and managed services.
- Experience and relationships selling to executives and teams training frontier AI models such as Amazon, Google, Microsoft, OpenAI, Anthropic, Apple, Meta, etc.
- Previous experience selling artificial intelligence (AI), machine learning (ML), large language models (LLMs), data analytics, cloud data stores.
- High business acumen and ability to sell technology and business value to all levels of an organization including individual contributors, mid-level management, and C-level executives.
- Experience with MEDDICC and enterprise selling methodologies such as Command of the Message.
- Strong track record of exceeding quota.
- Strong ability to succeed in multi-channel pipeline generation including inbound discovery calls, outbound prospecting, working with SDRs and working with partners.
- Comfortable with ambiguity, creative, and incredibly resourceful.
- Ability to learn quickly while having a growth mindset and desire to help with continuous improvement.
- Self-starter and independent worker, ambitious and takes initiative.
- A team player who collaborates with peers and other GTM teammates.
- A strong desire to work hard and do whatever it takes to succeed.
- High energy and contagious optimism.
- An amazing listener, fast learner, and good influencer.
- A strong customer presence, with polish and dedication to customer outcomes.
- 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.
- Explore & identify new opportunities in new accounts and expansion of existing accounts.
- Research and present business intelligence about customers and prospects.
- Help to develop and continuously improve our prospecting and selling motions.
- Own deals from prospect to close, and maintain relationship with customer success through renewals and expansions.
- Understanding of AI, ML, and LLMs
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
Simplify's Take
What believers are saying
- Software revenue grew 5x in 2024 from Databricks and Canva enterprise GenAI adoptions.
- Series B reached $50M in November 2024 with NVIDIA and Dell Technologies Capital investments.
- Bangladesh operations scale cost-effective annotation workforce for global multimodal projects.
What critics are saying
- Encord captures computer vision share with superior 4.8/5 G2 video tools in Q1 2026.
- Scale AI undercuts SaaS pricing with 40% faster LLM throughput per CB Insights March 2026.
- Databricks Mosaic AI bundles labeling, cannibalizing revenue from clients by June 2025 summit.
What makes SuperAnnotate AI unique
- SuperAnnotate integrates Meta's Segment Anything Model for 20x faster pixel-accurate image segmentation.
- Platform unifies annotation, fine-tuning, evaluation, and red-teaming across images, video, text, and audio.
- Founders' PhDs in computer vision from KTH and ETH Zurich drive patented AI-assisted labeling algorithms.
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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
Growth & Insights and Company News
6 month growth
↓ -3%1 year growth
↓ -2%2 year growth
↑ 11%CASSINI Matchmaking, a flagship initiative of the European Commission implemented by the European Union Agency for the Space Programme (EUSPA), is a driving force in accelerating innovation and growth in the European space sector by uniting key stakeholders around shared goals and interests.
SuperAnnotate has raised an additional $13.5 million in Series B funding from Dell Technologies Capital, bringing the total to $50 million. The company, which provides a platform for AI data labeling and management, has grown its software revenue by 5x in 2024 and serves major brands like Databricks and Canva. The funding will help scale its platform for enterprise AI use cases and improve data quality for AI development.
SuperAnnotate announces $36M Series B funding to enhance enterprise AI data management solutions.
SuperAnnotate, a San Francisco-based enterprise software provider, raised $36M in Series B funding. The round was led by Socium Ventures, with participation from NVIDIA, Databricks Ventures, Lionel Messi’s Play Time Ventures, and existing investors. The funds will be used to enhance its role in enterprise generative AI dataset creation and management. Founded in 2019, SuperAnnotate serves global clients like Databricks, Canva, and Motorola Solutions.
As part of the scheme, SuperAnnotate has launched a computer vision course explaining how to building a computer vision model and how to set up the AI Kit’s camera to detect various objects.