Drive Revenue Growth Jobs in New York City, NY

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Looking for Drive Revenue Growth jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Drive Revenue Growth position in the New York City, NY area.

Assessments & Exercises Vice President - ITGC, Controls Testing, Audit

Company: JPMorganChase

Location: Jersey City, NJ

Posted Jul 27, 2025

Formal training or certification on security concepts and 5+ years of applied experience. Demonstrated experience to simultaneously lead multiple on-going…

Customer Service Representative

Company: Lane Nine

Location: New York, NY

Posted Jul 27, 2025

Providing product or service information, answering questions, and resolving concerns. Experience in customer service, hospitality, retail, sports teams, or…

Frequently Asked Questions

What are typical salary ranges for Drive Revenue Growth roles by seniority?
Junior Revenue Ops Analyst: $70k–$90k; Mid‑level Manager: $110k–$140k; Senior VP of Revenue: $180k–$250k plus equity (2024 median); Directors earn $150k–$190k with performance bonuses.
Which skills and certifications are required for Drive Revenue Growth positions?
Core skills: Salesforce CPQ, HubSpot, Tableau, Looker, SQL, Python, and Excel. Certifications: Revenue Ops Certified (RevOps Cert), Certified Revenue Management Professional (CRMP), HubSpot Inbound Marketing, Salesforce Administrator, and optional AWS Certified Data Analytics for predictive modeling.
Is remote work available in Drive Revenue Growth roles?
Yes—85% of open positions allow 100% remote or hybrid arrangements. Companies offer flexible hours, cloud‑based tools, and virtual onboarding to support distributed teams.
What career progression paths exist in Drive Revenue Growth?
Typical ladder: Analyst → Ops Specialist → Manager → Director → VP of Revenue → CRO. Each step adds responsibility for cross‑functional alignment, strategic pricing, and enterprise growth initiatives.
What industry trends are shaping Drive Revenue Growth careers?
Key trends: AI‑driven dynamic pricing, subscription‑based revenue models, expansion into marketplace ecosystems, use of predictive analytics for cohort churn, and integration of revenue platforms (e.g., Stripe, Zuora) with CRM for unified data pipelines.

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