Role Description & Responsibilities
Data Analytics
About Elastic
Elastic is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.
CadetX Candidate Advantage: As an applicant for this Data Analytics role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.
CadetX Role Brief & Company Specifications
Role Mission & Impact
The typical starting OTE range for new hires in this role is listed below. This 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.
Key Responsibilities & Day-to-Day Scope
- ✓ Lead and Coach Teams: Manage, mentor, and coach a team of specialized Account Executives and Strategic Alliance Managers to successfully sell into AI-native organizations and execute high-impact sell-with motions. Actively foster an environment of teamwork, transparency, creativity, and continuous improvement while traveling regularly to provide hands-on executive support.
- ✓ Drive GTM & Sell-With Strategy: Build, execute, and own a dual-track GTM strategy: direct enterprise expansion into AI-native companies and strategic sell-with co-sell motions with major AI foundation model providers and platforms. Formulate account coverage, incentive alignment, pipeline generation programs, and customer segmentation tailored to this hyper-growth market segment.
- ✓ Quota Achievement & Operational Excellence: Consistently meet or exceed revenue and co-sell targets. Lead by example using rigorous pipeline management, structured forecasting, and deal execution frameworks. Travel regularly to engage directly in deal structuring, co-sell strategy, and executive closures.
- ✓ Engage C-Suite and Partner Ecosystems: Actively engage in strategic deal cycles to establish trusted-advisor relationships at the CxO, Founder, and VP level within top-tier AI companies. Build strategic, long-term alliances with partner management across product, business development, and go-to-market teams.
- ✓ Cross-Functional Collaboration: Partner closely with Elastic's global executive leadership , Product, Engineering, Marketing, and Solutions Architecture teams. Provide real-time market telemetry from leading AI innovators to influence Elastic's AI roadmap , while ensuring seamless joint PoC executions and strategic co-marketing initiatives.
- ✓ SaaS & Enterprise Sales Leadership : Proven track record leading high-performing software sales teams, with a documented history of quota overachievement in dynamic, high-growth, or strategic alliance environments.
Official Qualifications & Technical Requirements
- • AI & Search Domain Fluency: Deep understanding of the modern AI tech stack, including vector databases, hybrid search infrastructure, LLMs, retrieval-augmented generation (RAG), and generative AI platforms.
- • Ecosystem & Sell-With Expertise: Demonstrated experience building strategic co-sell or sell-with partnerships alongside major cloud, AI, or SaaS ecosystem leaders.
- • Operational Discipline: Solid analytical capability and data-driven decision-making. Expertise in applying structured methodologies (e.g., MEDDPICC) to complex direct and joint sales cycles.
- • Entrepreneurial Mindset: The resilience , agility, and initiative-taking attitude required to pioneer a hyper-growth, rapidly evolving vertical and build new market playbooks from scratch.
- • Prior experience selling directly to or partnering closely with premier AI foundation model companies (e.g., Anthropic, OpenAI, Perplexity).
- • Familiarity with open-source software, developer-centric infrastructure GTM strategies, and product-led growth (PLG) dynamics.
Preferred Skills & Technology Stack
- + Experience working with cloud data warehouses (Snowflake, BigQuery, or Amazon Redshift).
- + Familiarity with Git version control and collaborative code review workflows.
- + Demonstrated portfolio or capstone projects exhibiting practical end-to-end analytics problem solving.
Tech Stack & Tools in this role
Expected technical competencies for Day 1 productivity:
★ Life & Culture at Elastic
Verified EmployerElastic champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.