📍United States, Ireland
Enterprise Account Executive

Sama
📍Remote - Canada, United States
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Summary
Join Sama as a driven Enterprise Account Executive and help grow our key verticals (Consumer Tech, Autonomous Vehicles, Retail & eCommerce). You will be responsible for the full sales cycle, from prospecting to close, and for consistently exceeding quarterly bookings targets. This role requires deep experience selling SaaS solutions to technical buyers and building senior client relationships. You will need to be tech-savvy, strategic, and action-oriented, with a proven track record of success in a high-velocity or enterprise sales environment. The ideal candidate will have a strong understanding of the ML lifecycle and experience selling AI/ML solutions. Sama offers competitive compensation and benefits packages.
Requirements
- 3–7 years of quota-carrying B2B sales experience, with at least 1–2 years selling AI/ML, data platforms, or analytics solutions in Enterprise environments
- Proven track record of meeting or exceeding quota in a high-velocity or enterprise sales environment
- Familiarity with AI/ML buyer personas and use cases such as model training, data labeling, synthetic data, LLM evaluation, or AI governance
- Excellent communication and storytelling skills with ability to engage technical and business stakeholders alike
- Proficiency with Salesforce, LinkedIn Sales Navigator, and sales enablement platforms (e.g., Gong)
- Understanding of AI procurement dynamics including pilots, data privacy, IP rights, and technical validation cycles
Responsibilities
- Be responsible for the full sales cycle, from prospecting to close; analyzing, building and managing a sales pipeline with a highly complex and technical, multi-stakeholder sales process
- Become a strong solutions seller with depth in Generative AI and Computer Vision, and understand the ML lifecycle from start to finish
- Deep dive into clients’ and prospects’ ecosystems and communities: Attend conferences, join forums, host webinars and marketing events, and leverage social media to show thought leadership
- Own a $1-$2M annual quota focused on net-new revenue across AI platform subscriptions, services, and pilots
- Consistently deliver 100–120%+ attainment on quarterly bookings targets
- Build and maintain 3x pipeline coverage through strategic outbound prospecting, AI use-case targeting, and cross-functional support
- Manage 30–40 active deals per quarter , progressing through technical evaluation, procurement, and legal stages
- Lead 6–10 qualified discovery calls per week , tailoring outreach to business and technical buyers (VPs of Data, AI, Engineering)
- Conduct compelling discovery and scoping calls often in collaboration with solutions engineers, showcasing measurable value (e.g., data quality)
- Accelerate sales velocity: average sales cycle <120 days for enterprise engagements
- Maintain a win rate of >25% on sales-qualified opportunities by positioning differentiated capabilities (e.g., human-in-the-loop annotation, foundation model fine-tuning, GenAI pipelines)
- Work closely with Solutions to craft proposals
- Use Salesforce and Gong to track funnel health, improve conversion at each stage, and forecast revenue within ±10% accuracy
Preferred Qualifications
- Exposure to enterprise AI environments (e.g., computer vision, natural language processing, foundation models)
- Experience using or selling into AI infrastructure providers (e.g., AWS, Azure ML, Databricks, Scale AI, Labelbox)
- Familiarity with sales methodologies like MEDDIC or Challenger
- Growth-oriented while able to have fun at the same time
- Genuine interest in learning about new technologies - especially AI and generative AI
- Deep commitment to building an ethical, world-class company with technology at its core
- Ability to navigate a fast-paced environment with a high level of ambiguity
- Startup experience preferred
- You embody our Sama values, exemplifying Grit, Integrity, Get things done (GTD), and Humanity
Benefits
- Medical, dental, vision, and life insurance
- Holiday and vacation policies
- Professional development stipends
- Paid sabbatical program
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