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6 дней назад

Marketing Measurement Specialist (MSP)

160 000 - 180 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Marketing Measurement Specialist (MSP) (Causal MMM and incrementality): Serving causal marketing mix models for multiple customers and translating measurement results into planning and budgeting improvements with an accent on model integrity, customer-facing interpretation, and scalable delivery. Focus on managing escalations, designing AI workflows for repeatable cMMM tasks, and connecting complex experiments and model outputs to enterprise marketing decisions.

Location: Hybrid in the United States, with preference for candidates within commuting distance of offices in Seattle, San Francisco, or New York City

Salary: $160K–$180K base salary per year, excluding equity and benefits

Company

hirify.global is an AI-driven causal marketing platform that helps businesses optimize advertising spend through causal marketing mix modeling, incrementality, and marketing measurement.

What you will do

  • Partner with Measurement Strategy Managers across the causal MMM lifecycle, from kickoff and method presentation through model release, interpretation, enablement, and action planning.
  • Configure and quality-assure model inputs and outputs, review updates, and explain changes in methodology, scope, and multi-KPI insights.
  • Own customer escalations, business reviews, planning sessions, complex causal MMM questions, custom covariates, and technical re-engagement.
  • Deliver models, follow-ups, prototypes, scenario analyses, and renewal narratives while meeting onboarding and modeling SLAs.
  • Build playbooks, templates, and documentation that help customer-facing and data science teams deliver repeatable causal MMM engagements.
  • Design and supervise AI workflows, provide structured customer feedback to product, science, and engineering, and support case studies, bakeoffs, and pre-sales.

Requirements

  • 3+ years of direct marketing mix modeling experience, including model building, interpretation, and recommendation-making.
  • Experience with incrementality testing or other marketing experimentation and a general understanding of the marketing measurement landscape.
  • 3+ years in a customer-facing role, with the ability to work with complex media data and translate models into campaign decisions.
  • Ability to manage multiple customers in ambiguous, early-stage environments while building longer-term processes.
  • Experience communicating product feedback to technical teams and strong commitment to the causal MMM approach.
  • Ability to work effectively in a high-ownership, fast-moving environment with multiple stakeholders.

Nice to have

  • Agency experience and experience making MMM value tangible to clients.
  • Experience creating scalable approaches to data collection, covariate selection, insights delivery, or automation.
  • Knowledge of GeoLift-first versus MMM-first incrementality testing roadmaps and experiment design.
  • Frameworks for interpreting uneven experimental coverage and differing conviction levels across model outputs.
  • Experience explaining the relationship between MTA, MMM, and experiments.

Culture & Benefits

  • High-performance, low-ego environment with small, mission-driven teams.
  • Inclusive culture focused on collaboration, growth, and ownership rather than hierarchy.
  • Flexible PTO, equity, and health, dental, and vision insurance with multiple plan options.
  • Work-from-home stipend, events and offsites, and free lunch when working from the office.
  • New parent leave and support for in-person collaboration.

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