×
Register Here to Apply for Jobs or Post Jobs. X

Director, GTM Economics & Science

Job in Northern, Floyd County, Kentucky, USA
Listing for: Pure Storage, Inc.
Full Time position
Listed on 2026-09-05
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 211000 - 338000 USD Yearly USD 211000.00 338000.00 YEAR
Job Description & How to Apply Below
Location: Northern

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work—work that changes the world is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

Everpure is seeking a Director, GTM Economics & Science to drive go-to-market (GTM) efficiency by leading our causal measurement science vision. You will lead the development of advanced statistical methodologies to measure the incrementality of sales headcount, incentive investments, and customer-facing activities (e.g. workshops, proofs of concept, enablement collateral, events).

In this high-impact role, you will pioneer advanced statistical frameworks that separate true sales-driven lift from market noise directly shaping global headcount planning and incentive designs. Collaborating closely with executive GTM Finance, Data Science, and Sales leadership you will transform massive datasets into production-grade science deliverables that maximize global revenue and optimize ROI.

WHAT YOU'LL DO
  • Own the Go-To-Market Causal Measurement Strategy: Architect and execute the long-term roadmap for measuring sales incrementality partnering with senior Sales, Finance, and Operations executives to deliver highly accurate actionable insights that guide global investment decisions.
  • Design and Deploy Advanced Causal Models: Build validate and scale state-of-the-art observational models (such as causal forests, panel methods, and uplift models) in R or Python to isolate true headcount-driven lift and incentive plan performance from external market demand and noise.
  • Drive Investment ROI and Strategic Allocation: Quantify the incremental impact of sales headcount incentive modifications and customer-facing programs (e.g. proofs of concept workshops) for executive leaders (CFO CRO CMO) to directly influence headcount planning NRR growth and resource allocation.
  • Operationalize Production-Grade Data Pipelines: Partner with Data Engineering Analytics and GTM Operations to establish robust stable and maintainable pipelines and data infrastructure translating complex econometrics into automated dashboards and reusable frameworks for continuous business planning.
WHAT YOU BRING
  • PhD in Economics Econometrics or an equivalent quantitative discipline such as Applied Economics or Quantitative Marketing preferred.
  • Advanced Econometric & Causal Inference Expertise: Deep grounding in causal inference methodologies including causal forests treatment-effect heterogeneity synthetic control and difference-in-differences analyses.
  • Statistical Computing Fluency: Advanced proficiency in R Python or comparable statistical computing environments (such as causal Tree EconML or stats models) to write clean repeatable and production-ready code.
  • Data Engineering & Production Deployment

    Experience:

    Demonstrated capability to architect deploy and scale production-grade causal analyses utilizing messy complex business datasets such as CRM financial systems or telemetry data in partnership with data engineering teams.
  • Executive-Level Communication & Stakeholder Influence: Exceptional capacity to translate complex econometric statistical results into clear narratives and strategic recommendations for non-technical corporate leaders.
  • Location: We are primarily an in-office environment and therefore you will be expected to work from the Santa Clara CA office in compliance with Everpure’s policies unless you are on PTO or work travel or other approved leave.

Salary ranges are determined based on role level and location. For positions open to candidates in multiple geographical locations the base salary range is reflective of the labor market across the applicable locations.

This role may be eligible for incentive pay and/or equity.

There is no Final date to receive applications and we accept applications…

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary