E

Elastic

Searches enterprise data and monitors systems

Enterprise Account Executive - AI Native & Emerging Tech

Full-Time
CA$103.2k - CA$163.3k
Senior
Montreal, QC, Canada+1 moreMore locations: Toronto, ON, Canada
In Person
Sales & Account ManagementAccount Executive

About the job

Requirements
  • At least 5 years of enterprise or mid-market software sales experience, with a track record of selling SaaS, APIs, databases, developer tools, or consumption-based cloud infrastructure to fast-growing technology companies.
  • Deep conceptual understanding of modern AI stacks, including generative AI, vector search and embeddings, Retrieval-Augmented Generation, large language models, observability (logs/APM), and cloud data architectures.
  • Ability to build trust and navigate sales cycles with technical decision-makers, from developers, machine learning engineers, and data scientists to CTOs, VPs of Engineering, and founders.
  • Familiarity with the Toronto and/or Montreal technology ecosystems, venture-backed startup hubs, cloud accelerators, and incubator networks.
  • Mastery of MEDDPICC or equivalent qualification frameworks tailored to fast-moving startup environments with consumption or product-led growth mechanics.
  • Must be located in Toronto or Montreal.
Responsibilities
  • Build and execute an outbound and ecosystem-led strategy across AI-native startups, scale-ups, and technology innovators in Toronto and Montreal, generating pipeline.
  • Conduct technical and business discovery with AI engineers, data scientists, and technical founders to identify infrastructure bottlenecks, latency challenges, vector search requirements, and cloud unit economics.
  • Position the Search AI Platform, including vector search, BM25 and sparse/dense hybrid retrieval, Retrieval-Augmented Generation architecture, and semantic search, against legacy databases and standalone vector stores.
  • Guide customers through consumption-based pricing models and secure commitments across AWS, Azure, and GCP marketplaces while helping startups scale usage cost-effectively.
  • Maintain pipeline hygiene and forecast precision, using MEDDPICC to qualify high-velocity deal cycles and multi-threaded expansion opportunities.
  • Partner with Solutions Architects, Developer Relations, cloud hyperscaler teams, and local venture capital and incubator partner networks to accelerate startup onboarding and expansion.

About the company

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Elastic

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cbWebsite

Elastic builds search, observability and security software for developers, IT operations teams and security analysts. Elasticsearch indexes enterprise data so applications can retrieve records, while Kibana gives teams dashboards for exploring results and investigating system activity. Customers use the tools to search business information, monitor applications and infrastructure, and investigate threats across their data. Elastic sells managed cloud services and self-managed subscriptions, with resource-based hosted pricing, usage-based serverless pricing and licenses tied to nodes and memory. Founded in 2012, Elastic lists San Francisco, California, as its headquarters.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

San Francisco, California

Founded

2012

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Simplify Jobs

Simplify's Take

What believers are saying

  • Home office setup receives support: Elastic advertises workspace reimbursement, with regional benefit differences.
  • Volunteering receives time: Elastic advertises 40 annual volunteer hours, with benefits varying by region.
  • Demand expanded in August 2026 reporting: quarterly revenue reached $478 million, up 15% annually.

What critics are saying

  • Employee continuity weakened in June 2026: Elastic announced a workforce reduction of approximately 7%.
  • Coordination spans time zones: Elastic encourages cross-team collaboration across employees working in more than 40 countries.
  • Profitability remains unfinished in August 2026 reporting: Elastic recorded a $24 million quarterly GAAP operating loss.

What makes Elastic unique

  • Cross-project queries respect access: Serverless searches linked projects while enforcing each user's permissions.
  • Cluster tuning is guided: AutoOps surfaces performance recommendations, resource utilization and cost insights.
  • Developer licensing is flexible: free Elasticsearch and Kibana source portions include an AGPLv3 option.

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Benefits

  • Fully paid health coverage for you and your family
  • Flexible location and schedule for most roles.
  • Generous number of vacation days each year
  • 20+ additional shut it down days
  • Minimum of 16 weeks of parental leave, plus generous family formation benefits.
  • 40 hours each year to use toward volunteering
  • Double your charitable giving

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

0%
Yahoo Finance
Oct 14th, 2026
GitLab is a software stock to watch, while Elastic and Wix underwhelm

SaaS stocks have gained 56.3% over the past six months, outpacing the S&P 500's 12% rise. Still, StockStory says AI is eating into the profits of software firms with low switching costs, so only the strongest will last. It favours GitLab (NASDAQ:GTLB), valued at $8.66 billion. Revenue grew 25.9% a year over two years, annual recurring revenue rose 23.3% in the last year, and gross margin is 85.9%. The stock trades at $50.42, or 7.8x forward price-to-sales. It is wary of two others. Elastic (NYSE:ESTC), worth $9.90 billion, posted billings growth of 14% and flat operating margin. Wix (NASDAQ:WIX), worth $3.00 billion, saw billings growth of 13.9% and a 17.5 percentage point drop in operating margin.

ITWeb
Oct 13th, 2026
QBS Software Africa expands security portfolio with Elastic partnership.

QBS Software Africa expands security portfolio with Elastic partnership. New partnership brings Elastic's security, search and observability capabilities to partners and organisations across Africa. Johannesburg, 12 Oct 2026 QBS Software Africa today announced the addition of Elastic to its growing portfolio of cyber security and enterprise technology solutions, strengthening its offering to partners across South Africa and the wider African market. As organisations face increasingly complex IT environments, growing volumes of data and a rapidly evolving cyber threat landscape, security and technology teams need greater visibility across their environments and the ability to turn vast amounts of data into actionable insight. Through the new partnership, QBS Software Africa will enable its channel partners to access Elastic's platform, helping organisations detect, investigate and respond to threats while gaining deeper visibility across their security, cloud and IT environments. Elastic brings together powerful search, security and observability capabilities on a unified platform. Elastic Security combines SIEM, XDR, endpoint security and cloud security to help security teams identify threats, investigate incidents and respond more efficiently. Its AI-powered capabilities are designed to accelerate security operations by assisting with alert triage, threat investigation, threat hunting and incident response. The partnership comes at a time when security teams are under increasing pressure to manage growing data volumes while responding to increasingly sophisticated threats. Traditional security environments can leave organisations working across multiple disconnected tools, making it difficult to correlate information and establish a complete picture of an attack. Elastic takes a data-centric approach, enabling organisations to bring security data together and apply analytics, automation and AI across the security operations life cycle. For QBS Software Africa, the addition of Elastic further strengthens its commitment to providing partners with technologies that address the evolving needs of modern security and IT environments. "Elastic is a strong addition to our portfolio because it brings together visibility, analytics, security and AI in a way that can help organisations tackle some of the most pressing challenges facing security and technology teams today," said Sanjay Mithal, Head of Strategic Alliance at QBS Software Africa. "Our partnership with Elastic will give our channel partners access to a powerful platform while providing the local expertise, enablement and go-to-market support needed to identify opportunities and deliver value to customers across the region." Elastic's security platform provides capabilities across the full security operations life cycle, from prevention and detection through investigation and response. Organisations can use Elastic to ingest and analyse data from across endpoints, cloud environments, networks and other sources, while AI-powered capabilities can help security teams prioritise attacks, accelerate investigations and automate response workflows. Beyond security, Elastic's broader platform supports observability and search use cases, giving organisations the ability to work with large volumes of data across applications, infrastructure and business environments. This provides partners with opportunities to address multiple technology requirements through a platform rather than approaching security, observability and data analytics as completely separate disciplines. The partnership will initially focus on building awareness, partner enablement and market development across South Africa, with opportunities to expand into additional African markets through QBS Software Africa's regional channel network. As organisations continue to navigate the convergence of cyber security, cloud, data and AI, QBS Software Africa and Elastic aim to help partners deliver technology solutions that provide greater visibility, stronger security and more actionable intelligence. QBS Software Africa, formerly Maxtec, combines the strength of a trusted value-added distributor with the scale of a global software delivery platform. As part of the QBS Technology Group, QBS Software Africa connects vendors, partners and end users across Africa, helping technology providers expand into new markets and enabling partners to source, deliver and scale the solutions their customers need.

Yahoo Finance
Oct 8th, 2026
Elastic launches nightshift AI SRE to investigate incidents with full stack context

Elastic has launched a private preview of Elastic nightshift AI SRE, an AI agent built into Elastic Observability that investigates system issues and provides evidence-backed answers. The tool continuously detects and investigates problems across entire technology stacks, surfacing issues that rule-based alerts miss. According to a NeuBird AI study from April 2026, 78% of organisations experienced at least one incident in the past year where no alert fired and customers discovered the problem first. Elastic nightshift AI SRE addresses this by evaluating all telemetry and correlating alerts, SLOs, and anomalies. The system connects telemetry data to source code from GitHub repositories and learns from resolved incidents to improve future investigations. Engineers can inspect investigation steps, including queries and underlying data. The service is available free to existing Elastic customers during early access on Elastic Observability Serverless, with broader technical preview planned later this year.

Associated Press
Oct 8th, 2026
Elastic launches AlertZero, AI agents to automate security alert triage and investigation

Elastic has launched AlertZero, an AI-powered system built into Elastic Security that uses specialised agents to handle security operations tasks. The system manages alert triage, investigation, threat hunting, detection tuning, and forensic analysis, aiming to reduce thousands of raw alerts to a short queue of recommended actions. AlertZero operates through "Watches" — named groups of agents with specific responsibilities that run on triggers and schedules. These include Triage Watch for alert management, Hunt Watch for continuous threat hunting, Detection Watch for rule tuning, and Forensics Watch for specialist analysis. The system works with any AI model across Elastic Cloud, self-managed, or air-gapped deployments. Security teams retain control over which actions are automated and which require human judgment. AlertZero is available as a technical preview to Elastic Security customers. Mike Nichols, general manager of Security at Elastic, said the platform provides teams with visibility and control to deploy agentic automation at scale.

Elastic
Oct 8th, 2026
Elastic introduces Elastic nightshift AI SRE to investigate with the full context others can't afford to keep.

Elastic introduces Elastic nightshift AI SRE to investigate with the full context others can't afford to keep. October 8, 2026 The AI SRE uses complete context from across the entire stack to continuously detect issues and learn from every incident, delivering evidence-backed answers engineers can trust SAN FRANCISCO-(BUSINESS WIRE)- Elastic (NYSE: ESTC) today announced the private preview of Elastic(R) nightshift AI SRE, an AI agent built into Elastic Observability that investigates like an engineer and shows its work. It continuously detects and investigates issues across the entire stack with full context, including surfacing unknowns that rule-based alerts miss. Elastic nightshift AI SRE tests multiple root-cause hypotheses in parallel against telemetry and other relevant context to deliver evidence-backed answers with its reasoning visible at every step. Cloud-native systems now produce more telemetry than any team can review manually, and agentic development has made the problem worse: code that writes code can fail in ways that don't trip a clean error code or fire an alert. In the past year, 78% of organizations had at least one incident where no alert fired and customers found the problem first, according to a NeuBird AI study from April 2026. Once an incident surfaces, investigation depends on context that is usually incomplete: telemetry dropped to control cost, knowledge scattered across code, runbooks and Slack, and lessons from past incidents lost. Observability agents only see what alerts catch, while standalone AI SREs reason over data they don't own. Elastic nightshift AI SRE brings detection, investigation, context and remediation together in a single AI SRE built into Elastic Observability. Transparent Investigation Elastic nightshift AI SRE investigates like an SRE would: ruling out dead ends, following connected signals and converging on root cause with transparent reasoning. Once an investigation identifies the likely root cause, Elastic nightshift AI SRE recommends a fix. It can select an existing workflow or pre-configured action and fill in the incident parameters or provide commands for an engineer to run. Engineers can inspect the investigation steps, including the queries the agent ran and the underlying data. Complete Context Each investigation draws on full context based on cost-efficient telemetry storage, so customers can keep what the AI needs instead of sampling it away. A knowledge graph connects that telemetry to source code from GitHub repositories, so Elastic nightshift AI SRE can point to the commit that likely caused an exception instead of leaving engineers to guess what changed. Investigation memory compounds over time, so every resolved incident makes the next investigation faster to resolve. Detects Unknowns Elastic nightshift AI SRE does not wait for a rule to fire. It continuously evaluates the environment and all telemetry for what needs attention, correlating alerts, SLOs and anomalies into findings an engineer should actually see, including issues that preconfigured alerts are blind to. "Named role agents, including AI SRE, are the first step to AI-fueled operations," said Shannon Kalvar, IDC Senior Research Director. "These agents need access to a broader context, particularly heterogeneous estates, along with the ability to both learn from their own action and reflect on those actions after the fact to begin to create the human-directed operating model of the future." "Most Observability agents only get smarter by scraping more data. Elastic nightshift AI SRE gets smarter by paying attention to how engineers work through investigations, and by checking its own homework once an incident is closed," said Baha Azarmi, general manager, Observability, Elastic. "That is how it keeps up with production without running up a token bill nobody wants to see." Availability Elastic nightshift AI SRE is available today in private preview on Elastic Observability Serverless, free for existing Elastic customers during the early access period. Elastic plans to bring it to technical preview later this year with broader support for third-party tools and data stores. Teams can join the waitlist at: elastic.co/observability/ai-sre/signup Additional Materials About Elastic Elastic (NYSE: ESTC) integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elasticsearch, which is the foundation for its search, observability, and security solutions, is used by thousands of companies, including more than 75% of the Fortune 100. Learn more at elastic.co. Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.