22 часа назад
Revenue Strategy & Data Analytics Lead (AI)
130 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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