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22 часа назад

Revenue Strategy & Data Analytics Lead (AI)

130 000 - 175 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Singapore/US/Japan +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Revenue Strategy & Data Analytics Lead (AI): Building the data architecture, models, schemas, and dashboards that power revenue planning, retention, expansion, pricing, and forecasting with an accent on SQL, BI, AI-driven commercial analytics, and executive decision support. Focus on designing health scores, predictive churn and upsell models, optimizing renewal pricing and margins, and translating GRR/NRR trends into actionable leadership decisions.

Location: Somerville, Massachusetts, United States; hybrid work with at least 3 days per week in the office

Salary: $130,000–$175,000 per year, plus eligibility for on-target earnings (OTE).

Company

hirify.global develops AI-native software that brings modern technology and AI to manufacturing operations.

What you will do

  • Define the roadmap for using AI and data to improve retention and expansion across Customer Success, Professional Services, and Support.
  • Build models identifying at-risk accounts and cross-sell or upsell opportunities from usage, support, and engagement data.
  • Architect customer health score metrics and the data foundation for automated Customer Success playbooks.
  • Set renewal pricing, services attach-rate targets, and margin optimization in partnership with Sales and Services leadership.
  • Translate GRR and NRR metrics, market sizing, pricing simulations, and conversion analysis into recommendations for executives and the board.
  • Mentor and upskill GTM teams and commercial partners on using data for decisions.

Requirements

  • 8–10+ years of experience in Customer Success Operations, Revenue Operations, or Strategic Analytics within a B2B SaaS environment.
  • Experience leading cross-functional system changes across Salesforce or other commercial systems, including segmentation, territory and quota models, forecast hygiene, health scores, churn coding, and renewal workflows.
  • Experience using AI for commercial applications such as predictive churn modeling, sentiment analysis, or next-best-action recommendations, including build-versus-buy evaluation.
  • Expert-level SQL and BI tooling skills, including joining product usage data with CRM data at scale.
  • Experience owning go-to-market metrics and influencing VP- and C-suite-level decisions.
  • Bachelor’s degree in a relevant field required; MBA preferred.

Nice to have

  • Experience with usage-based or composable software.
  • Player-coach experience in Revenue Operations or a go-to-market organization.
  • Experience mentoring and developing analysts or operations specialists.

Culture & Benefits

  • AI-forward, human-centered environment with high ownership and direct impact on product and culture.
  • Company equity and a benefits package including health, dental, vision, disability, life insurance, FSA, commuter benefits, parental leave, and 401(k).
  • Flexible work schedule and unlimited vacation policy.
  • Learning and Development program, fitness subsidies, and virtual company events.
  • Inclusive, dog-friendly office.

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