Enterprise Account Executive (AI Native & Emerging Tech)

Elastic, a leading company in the AI and search technology space. As an Enterprise Account Executive, you will be responsible for building and executing an outbound strategy in Eastern Canada's tech hubs, conducting technical discovery with AI engineers and data scientists, and positioning Elastic's Search AI Platform against legacy databases.

About Elastic

Positionner la plateforme de recherche d'Elastic en mettant l'accent sur la recherche vectorielle et l'architecture RAG.

Canadian Tech Hub Acumen: Deep familiarity with the Toronto and/or Montreal tech ecosystems, venture-backed startup hubs, cloud accelerators, and incubator networks

Growth Mindset & Curiosity: Passion for staying ahead of rapid advancements in AI, machine learning, and open-source software communities

AI & Search Domain Fluency: Deep conceptual understanding of modern AI stacks, including Generative AI, Vector Search/Embeddings, Retrieval-Augmented Generation (RAG), LLMs, Observability (logs/APM), and Cloud Data Architectures

Responsibilities

• You will also guide customers through consumption-based pricing models, maintain pipeline hygiene and forecast precision, and collaborate with cross-functional teams.
• This role offers flexible location and schedule, fully paid health coverage, generous vacation days, and more.
• Construire et exécuter une stratégie de prospection et d'écosystème pour générer des opportunités commerciales.
• Conduire des découvertes techniques approfondies avec des ingénieurs en IA, des scientifiques des données et des fondateurs techniques.

Requirements

• Proven SaaS & Cloud Sales Track Record: 5+ years of enterprise/mid-market software sales experience, with a track record of selling SaaS, API, database, developer tools, or consumption-based cloud infrastructure to fast-growing tech companies

Preferred

• Location: Must be located in Toronto or Montreal

Founder & Developer Credibility: Proven ability to build trust and navigate sales cycles with technical decision-makers—from Developers, ML Engineers, and Data Scientists up to CTOs, VPs of Engineering, and Founders

Methodology Rigor: Mastery of MEDDPICC (or equivalent qualification frameworks) tailored for fast-moving startup environments with consumption or product-led growth (PLG) mechanics