Enterprise Account Executive (AI Native & Emerging Tech)

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What Is The Role

Elastic is looking for a high-energy, technical, and strategic Account Executive based in Toronto or Montreal to drive net-new revenue and expansion across Canada’s fast-growing AI-Native, Generative AI, and Emerging Tech startup/scale-up ecosystem.

In this role, you will be the primary owner of a high-velocity, high-growth territory targeting companies building cutting-edge AI products, LLM-powered applications, vector search architectures, and modern cloud platforms. Sitting at the intersection of developer-led adoption and executive sales execution, you will partner with founders, CTOs, VPs/Heads of AI, and VP of Engineering leaders to position Elastic’s Search AI platform as the core infrastructure for vector database, hybrid search, RAG (Retrieval-Augmented Generation), and full-stack observability needs.

What You Will Do

• Territory & Ecosystem Ownership: Build and execute an outbound and ecosystem-led strategy across AI-native startups, scale-ups, and tech innovators in Eastern Canada's primary tech hubs (Toronto and Montreal), generating pipeli


• Technical Discovery & Qualification: Conduct deep technical and business discovery with AI engineers, data scientists, and technical founders to uncover infrastructure bottlenecks, latency challenges, vector search requirements, and cloud unit economics.


• Value Storytelling & Technical Alignment: Position Elastic’s Search AI Platform—focusing on vector search, BM25 + sparse/dense hybrid retrieval, RAG architecture, and semantic search—against legacy databases and standalone vector stores.


• Consumption & Cloud Model Execution: Guide customers through consumption-based pricing models, securing commitments across AWS, Azure, and GCP marketplaces while helping high-growth startups scale their usage cost-effectively.


• Mutual Deal Strategy & Forecast Accuracy: Maintain high pipeline hygiene and forecast precision, utilizing MEDDPICC to qualify high-velocity deal loops and multi-threaded expansion opportunities.


• Cross-Functional Collaboration: Partner hand-in-glove with Solutions Architects, Developer Relations, Cloud Hyperscaler teams, and local Venture Capital / Incubator partner networks to accelerate startup onboarding and expansion.

What You Will Bring

• 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.


• 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.


• 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.


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


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


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


• Location: Must be located in Toronto or Montreal.