Braun Board

Enterprise Account Executive (AI Native & Emerging Tech)

Elastic · Toronto, ON, Canada

Base
C$103K–C$163K
OTE
C$206K–C$327K
Quota attainment
Not disclosed
Posted
27d ago

Why it matters: OTE tells you what you could earn. Attainment tells you how realistic it is.

Ask: “What percentage of fully ramped reps hit quota last year?”

Still open · checked 3h agoon Elastic's careers page

What Elastic sells

Finds answers across all of a company's data

Businesses have information spread across many places and need answers fast. Elastic's software searches all of that data in real time, so people can find what they need quickly. It also helps keep private information better protected.

In plain English, from their own job posts. Something wrong? Tell us

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The Braun Read

Worth a look

Solid on the basics. Use the first call to fill in the gaps.

Pay
Base and OTE both listed. Roughly a 50/50 base-to-variable split.
Transparency
Shares 1 of 5: quota, attainment, deal size, territory, sales cycle.
Pipeline
Mostly self-sourced. Great if you like outbound, rough if you don't.
Time on market
Open 26 days. Normal, but not fresh.
Company hiring
Ramping up: posted 15 sales roles in the last 30 days. That many open roles can also mean churn. Ask how many reps are still there from last year.

Red flags

None spotted.

Green flags

  • Publishes OTE. It tells you the on-target earnings up front. Most postings don't.
  • Pays accelerators. Higher commission rates once you pass quota. Overperformance actually pays.

Based only on what the posting says. Flags are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

  1. 1.

    What percentage of fully ramped reps hit quota last year?

    OTE is what you could earn. This is how likely you are to earn it.

  2. 2.

    What percentage of reps on the team have been here more than 18 months?

    Tenure shows whether people stay long enough to get paid.

  3. 3.

    Has the comp plan changed in the last 12 to 18 months? What changed?

    A plan that changes every year means the goalposts keep moving.

  4. 4.

    Who sits with reps and reviews calls each week?

    Coaching is often what's behind a good or bad attainment number.

  5. 5.

    What's the annual quota, and how was it set?

    A quota built from real data is a target. Otherwise it's a hope.

  6. 6.

    Why is this role open? Did someone leave, or is it new?

    New headcount is growth. A replacement means someone left. Ask why.

When the offer comes

Save these for later. They land better once they've said yes to you.

  1. 1.

    Can I see the full comp plan in writing, including clawbacks and accelerators?

    What's in writing is what gets paid. Read it before you sign.

  2. 2.

    Can I see the actual comp distribution for the team last year, not just the OTE?

    The spread shows what most reps really take home. OTE is just the target.

  3. 3.

    I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?

    Leaving money behind is a fair reason to ask. The worst answer is no.

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The role

Sell Elastic's Search AI platform (vector search, hybrid search, RAG, observability) to AI-native startups and scale-ups in Toronto and Montreal. Prospecting is outbound and ecosystem-led, with consumption-based cloud deals.

Enterprise · Mixed · Outbound

Selling motion

Mixed

Who you're selling to

Buyer:
Founders, CTOs and engineering leaders at AI startupsIn their words: “partner with founders, CTOs, VPs/Heads of AI, and VP of Engineering leaders”
Industry:
AI-native and emerging tech startupsIn their words: “Canada’s fast-growing AI-Native, Generative AI, and Emerging Tech startup/scale-up ecosystem”
Company size:
Enterprise

Pipeline expectations

Mostly self-sourced. Expect a lot of outbound.

Compensation

C$103K–C$163K base · C$206K–C$327K OTE

What is not disclosed

This posting doesn't tell you:

  • Quota size
  • Quota attainment
  • Average deal size
  • Sales cycle length

The questions above cover the big ones.

Full posting
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. 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. Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE). The OTE is based on a 50/50 pay mix (base salary / target variable). The typical starting base salary, variable and OTE range for new hires in this role is listed below. The OTE range represents the lowest to highest OTE we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's position within the OTE range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $103,200-$163,300 CAD The typical starting Target Variable range for this role is: $103,200-$163,200 CAD The typical starting On-Target Earnings (OTE) range for this role is: $206,400-$326,500 CAD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. - Competitive pay based on the work you do here and not your previous salary - Health coverage for you and your family in many locations - Ability to craft your calendar with flexible locations and schedules for many roles - Generous number of vacation days each year - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service - Up to 40 hours each year to use toward volunteer projects you love - Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.
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