Назад
Company hidden
8 часов назад

Marketing Measurement Specialist (MSP)

160 000 - 180 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Marketing Measurement Specialist (MSP) (Causal MMM/Marketing Analytics): Delivering causal marketing measurement models for multiple customers and translating model outputs into planning, budgeting, and campaign decisions with an accent on incrementality, model integrity, and customer-facing analysis. Focus on configuring and QAing model inputs and outputs, managing escalations and updates, designing scalable AI workflows, and turning complex measurement results into actionable recommendations.

Location: New York, NY. Preference is given to candidates within commuting distance of offices in San Francisco, Seattle, and New York City.

Salary: $160K–$180K annual base salary, excluding equity and benefits.

Company

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

What you will do

  • Partner with Measurement Strategy Managers throughout the Causal MMM lifecycle, from kickoff and method presentation to model release, interpretation, enablement, and action planning.
  • Configure and QA model inputs and outputs, review model updates, and explain changes in methodology, scope, and KPIs.
  • Own complex customer escalations, business reviews, planning sessions, model questions, custom covariates, and technical re-engagement.
  • Deliver deep-dive prototypes, scenario analyses, before-and-after narratives, and renewal materials while meeting onboarding and modeling SLAs.
  • Build playbooks, templates, and documentation that make Causal MMM engagements repeatable across science, onboarding, and strategy teams.
  • 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 interpretation and recommendation-making.
  • Experience with incrementality testing or other marketing experimentation and a general understanding of the marketing measurement landscape.
  • 3+ years of experience in customer-facing roles, with the ability to work with messy media data and translate complex models into campaign decisions.
  • Ability to manage multiple customers while building longer-term processes in ambiguous, early-stage environments.
  • Ability to communicate product feedback to technical teams and adapt working practices to a scalable, customer-supported Causal MMM model.

Nice to have

  • Agency experience and experience making MMM value tangible to clients.
  • Scalable approaches to data collection, covariate selection, insights delivery, and automation.
  • Perspective on MMM-first versus GeoLift-first incrementality testing roadmaps.
  • Frameworks for interpreting differing confidence levels across model outputs.
  • Experience explaining the relationship between MTA, MMM, and experiments.

Culture & Benefits

  • High-performance, low-ego environment with strong ownership and collaboration.
  • Small, mission-driven teams focused on inclusion, growth, and practical execution.
  • Flexible PTO and new parent leave.
  • Equity and health, dental, and vision insurance with multiple plan options.
  • WFH stipend, office events and offsites, and free lunch when working from the office.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →