Enterprise Account Executive, Agentforce & Data 360

Accountabilities:

• • Drive enterprise revenue growth by identifying, positioning, and closing opportunities involving AI, data, and customer engagement solutions.
  • Partner closely with broader sales teams to source, qualify, develop, and close opportunities across existing and prospective enterprise customers.
  • Use strong knowledge of AI, data platforms, cloud technologies, and customer engagement solutions to position tailored solutions against complex business challenges.
  • Conduct comprehensive technical and business discovery sessions to uncover customer priorities, assess sophisticated requirements, and determine how AI and data capabilities can deliver measurable value.
  • Develop compelling Points of View and customer presentations that connect technical capabilities with strategic business outcomes for both executive and technical audiences.
  • Build and maintain strong relationships with senior decision-makers and key stakeholders throughout complex enterprise sales cycles.
  • Identify and qualify opportunities aligned with the ideal customer profile while developing strategies to maximize business impact and revenue potential.
  • Translate customer requirements and long-term strategic objectives into scalable technology solutions that fit within existing enterprise architectures.
  • Collaborate with technical, product, consulting, and other cross-functional teams to provide a unified customer experience throughout the sales process.
  • Articulate compelling AI use cases and demonstrate how intelligent agents, automation, data, APIs, and cloud technologies can address critical business needs.
  • Negotiate effectively and manage sophisticated sales processes while consistently working toward and exceeding revenue targets.

  Requirements:

  • 10+ years of experience in enterprise or commercial B2B sales, preferably within highly technical technology environments.
  • Proven track record of consistently meeting or exceeding sales targets through complex, consultative enterprise sales cycles.
  • Deep understanding of data, artificial intelligence, machine learning, and agent-based technologies, including how agents can be configured, connected to workflows, automation, and APIs.
  • Strong experience selling data- and AI-driven customer engagement solutions and familiarity with enterprise CRM and cloud platforms.
  • Understanding of technologies such as cloud data warehouses, cloud infrastructure, predictive and prescriptive modeling, business intelligence platforms, and enterprise data solutions.
  • Strong technical discovery and consultative selling capabilities, with the ability to map sophisticated customer needs to scalable technology solutions.
  • Ability to explain complex AI, data, and technology concepts clearly to both technical stakeholders and non-technical business leaders.
  • Exceptional communication, presentation, negotiation, and relationship-building skills, with confidence engaging senior executives.
  • Bachelor’s degree or equivalent professional experience, preferably combined with an extensive background in technology sales.
  • Strong business acumen and the ability to consistently translate technical capabilities into tangible commercial and operational outcomes.
  • Curious, creative, agile, and solutions-oriented mindset, with a willingness to take ownership and move quickly in a changing environment.
  • Ability to collaborate effectively across multiple teams while maintaining accountability for commercial results.

  Benefits:

  • Competitive base salary: For Ontario-based roles, CAD $115,450–$165,450 annually.
  • Sales incentives: Additional bonus or sales incentive opportunities may apply beyond the base salary.
  • Equity opportunities: Eligibility for equity may be available depending on the overall compensation structure.
  • Flexible work environment: Flexible office and remote arrangements are available in Toronto and Montreal, including designated metropolitan remote options.
  • Health and wellbeing support: Resources and benefits designed to support physical, mental, and overall wellbeing.
  • Career development: Opportunities to strengthen expertise in AI, data, cloud technologies, enterprise sales, and emerging technology.
  • AI-enabled productivity: Access to innovative AI capabilities designed to accelerate impact and support employees in their work.
  • Inclusive workplace: A collaborative environment focused on professional growth, innovation, equal opportunity, and belonging.
  • Accommodation support: Reasonable accommodations are available throughout the recruitment process for candidates who require them.