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.
At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open-source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 40+ countries into one coherent team, while the broader community spans across over 100 countries.
In this role, you will lead Elastic’s initiatives in campaign governance, metadata architecture, and AI-driven workflow optimization, focusing on the strategy, design, and operational integrity of our global marketing efforts. We seek a candidate who is technically curious, an operations pro, an early adopter of AI, and committed to ensuring our marketing strategy translates perfectly into system data.
Process Engineering and Optimization is a pivotal division within Marketing Operations, consisting of dedicated individuals who excel in bridging the gap between high-level strategy and technical execution. We prioritize implementing intelligent, strategic, and scalable methods to drive continuous advancement.
Governance Framework Design: Develop and implement global campaign governance standards, ensuring all marketing activities adhere to a unified campaign hierarchy, metadata structure, and naming convention.
Metadata Architecture: Work with business, analytics, and engineering teams to define and maintain the "Source of Truth" for campaign metadata, ensuring that strategic attributes (persona, product line, region) are collected accurately
System Translation: Collaborate with marketing and sales partners to craft user stories that collect detailed business requirements for campaign system enhancements and attribution tracking.
Visualizing Logic: Prepare visual diagrams of campaign flows, data inheritance models, and automated "hand-off" points between AI tools and core systems.
Operational Efficiency: Run the analysis of crucial metrics in campaign performance, partnering closely with IT and Marketing Operations to optimize operational efficiencies and uphold system reliability.
Drive enhancements in our first-party campaign management tooling and SFDC through written requirements and user stories.
Documentation & Enablement: Maintain detailed documentation and internal communication materials by handling Project Management tools, FAQs, and ensure clarity and traceability of requirements.
AI Workflow Engineering: Identify and implement opportunities to integrate AI agents and LLMs into marketing workflows to automate repetitive tasks, such as metadata tagging, content audits, campaign QA and insights.
3+ years of previous experience, ideal candidate will have Marketing and/or Sales Operations experience with a focus on campaign execution.
Campaigns at Scale - Prior experience working in an environment working on a team that delivered thousands of campaigns per year.
AI & Automation Savvy: Hands-on experience or a strong proficiency in using AI tools or autonomous agents to improve operational workflows, data cleansing, or process automation.
Data-Driven Decision Making: Confirmed technical knowledge of campaign hierarchies, metadata structures, and lead/campaign management processes.
Technical Stack: Proficient in marketing software, with hands-on experience in Marketo preferred; familiarity with Salesforce, ideally with Salesforce admin experience and experience with Lead, Contacts, Campaigns, Accounts, and Campaign Member objects.
Systems Thinking: Proven experience implementing sophisticated technical projects where strategy must be translated into rigid system logic and metadata. Experience in project management platforms (Workfront, Monday, Asana).
Communication: Strong interpersonal and communication skills with the ability to adjust the level of detail depending on the audience, from technical IT teams to executives.
Accountability: Dedication to thoroughness and effective execution, with a strong ability to take accountability for the integrity of global marketing data.
Education: Undergraduate degree or equivalent experience in marketing, computer science, or a related field.
Distributed Outlook: Comfortable working on a fully distributed team and navigating an "elastic" work environment.
Basic proficiency in Python and experience with LLM frameworks (LangChain, LlamaIndex, or similar).
Hands-on experience with LLM APIs (OpenAI, Anthropic/Claude, Cursor etc.) and prompt engineering.
Experience building RAG systems and working with vector databases.
Proficiency with API integration, webhooks, and workflow automation tools.
Working knowledge automation tools (Zapier, Make.com, n8n).
Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.
These ranges represent the lowest to highest salary 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 ranges may be modified in the future.
An employee's position within the salary 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:
$81,900—$129,500 CAD
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.
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Elastic develops a search and analytics platform used for searching, analyzing, and visualizing data at scale. The company serves enterprises across multiple industries including IT operations, security, and business analytics. Their target customers are organizations needing real-time insights from large volumes of data.
Visit websiteCA$81,900 – CA$129,500
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