Director of Marketing Analytics, Elastic
$160.3-304.2k
Plus eligible to participate in Elastic's stock program. Salary varies depending on location
Open source platform powering search, observability, security, and more
Be an early applicant
Open source platform powering search, observability, security, and more
1001+ employees
Be an early applicant
$160.3-304.2k
Plus eligible to participate in Elastic's stock program. Salary varies depending on location
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 10+ years of leadership experience managing multidisciplinary analytics teams, with a track record of unifying data engineers, analytics engineers, data scientists, and BI analysts toward shared commercial goals
- Proven Measurement & Financial Acumen: Deep expertise in marketing measurement, modern attribution models, incrementality testing, customer journey mapping, and SaaS unit economics (CAC, LTV, NRR, Payback)
- Data Governance & Taxonomy Expertise: Demonstrated success designing information architectures, metric dictionaries, and governance standards that support automation and AI tools
- Technical Stack Literacy: Hands-on technical comfort with SQL, modern data platforms (BigQuery, dbt), enterprise BI platforms (Tableau), and CRM/MarTech ecosystems (Salesforce, Marketo)
- Executive Storytelling & Cross-Functional Orchestration: Exceptional ability to translate complex quantitative models into clear economic narratives and strategic recommendations for executive leadership
- Education: Bachelor’s degree in a quantitative or business field (such as Statistics, Economics, Data Science, or Business Administration) or equivalent professional experience
Desirable
- Hands-on experience operationalizing predictive machine learning models (e.g., lead scoring, propensity models, churn risk) directly into Salesforce for seller actioning
- Experience building measurement frameworks for partner-sourced, partner-influenced, or hyperscaler marketplace revenue
- Direct experience analyzing Product-Led Growth (PLG), consumption-based, or usage-driven SaaS revenue models
What the job involves
- We are looking for a Director, Marketing Analytics to translate our marketing intelligence strategy into operational excellence and commercial impact. You will lead a multidisciplinary analytics team across data engineering, analytics engineering, visualization, and data science workflows
- Sitting at the intersection of marketing strategy, revenue operations, and data engineering, you will serve as a trusted partner to Sales, RevOps, Finance, Product-Led Growth (PLG), and Enterprise Data
- You will build our marketing intelligence system. This will focus on three key areas. First, you will optimize how we allocate capital. You will use solid ROI and incrementality frameworks for this. Second, you will identify growth insights by finding predictive buyer and expansion signals
- Finally, you will promote data clarity. This involves ensuring we have a well-governed, transparent single source of truth. Grounded in open, explainable attribution models, you will streamline organization-wide decision-making and help fuel long-term growth across the entire customer lifecycle
- Capital Allocation & Attribution: Operationalize open, explainable multi-touch attribution (MTA) and ROI frameworks that measure full-funnel contribution and ensure global budgets are allocated efficiently
- Customer Journeys & Predictive Signals: Build customer journey frameworks in partnership with Marketing Ops to model the "moments that matter", while overseeing the deployment of predictive buyer intent and expansion signals to growth and sales teams
- Information Architecture & AI Readiness: Standardize data taxonomy, metric definitions, and semantic models (dbt/BigQuery) across our marketing ecosystem, ensuring our data foundations are structured, clean, and optimized for AI data interfaces
- Cross-Functional Alignment & Visualizations: Partner across Sales, RevOps, Finance, and PLG to align on shared metrics, delivering executive-ready visualizations (Tableau) and data-backed stories that simplify planning, execution, and course correction
- Team Leadership & Capacity Governance: Guide, mentor, and orchestrate a multidisciplinary analytics team, establishing clear intake triage processes that shield team capacity for high-impact strategic milestones
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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