Navan
Director, Marketing Operations
New York, NY · Director
Sponsorship not specified$143k-$318kDetected 4 days ago
Data EngineeringLLMsSalesforceMarketoCRMLeadershipMentoring
About the role
- To determine a successful candidate's starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate's skills and experience, market demands, and internal parity.
- Candidates may receive more information from the recruiter.
Responsibilities
- Drive Cross-Functional Alignment: Act as the critical connective tissue between Marketing and Revenue Operations. You will spearhead cross-functional initiatives, ensuring tight alignment across go-to-market teams on data, processes, and revenue goals.
- MarTech Strategy & Scoping: Continually evaluate and architect the marketing technology stack. You will be responsible for scoping new tools, managing vendor relationships, and implementing solutions that drive efficiency at scale.
- Demand Gen & Sales Alignment: Build the operational infrastructure to support seamless sales motions.
- Partner closely with Revenue Operations and Demand Gen leaders to build dynamic lead scoring models, complex routing logic, and strict SLA tracking to ensure no lead is left behind.
- Reporting & Attribution: Design and maintain advanced dashboards that provide full-funnel visibility. Translate raw data into actionable insights for marketing and sales leadership to guide future strategies.
- Process Engineering: Identify bottlenecks in the current marketing-to-sales handoff and build scalable, automated processes to solve them.
- Team Leadership & Management: Build, mentor, and manage a high-performing marketing operations team.
- Build, mentor, and manage a high-performing marketing operations team.
- Build the operational infrastructure to support seamless sales motions.
- Design and maintain advanced dashboards that provide full-funnel visibility.
Requirements
- Management Skills: 5+ years of experience directly managing, coaching, and scaling operations teams in a high-growth environment.
- Cross-Functional Leadership: Proven track record of driving cross-functional execution, specifically partnering with Revenue Operations to orchestrate unified GTM motions.
- You must possess deep, hands-on experience with ETL and Reverse ETL pipelines to ensure clean, actionable data flows seamlessly across systems.
- Strategic Chops: A proven ability to act as a consultant to marketing leadership.
- You know how to translate business requirements into technical solutions and vice versa.
- Technical Mastery: Deep, hands-on architectural expertise with the modern MarTech stack.
Nice to have
- 12+ years of progressive experience in B2B Marketing Operations, Revenue Operations, or Demand Generation Ops.
- SaaS experience is highly preferred.
Skills
- 5+ years of experience directly managing, coaching, and scaling operations teams in a high-growth environment.
- Technical Mastery: Deep, hands-on architectural expertise with the modern MarTech stack. You should possess:
- Marketo Expertise: Expert-level proficiency in instance management, lifecycle modeling, complex trigger logic, and API integrations.
Compensation
- $143,100 - $318,000 USD
- The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need.
- To determine a successful candidate's starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate's skills and experience, market demands, and internal parity.
- For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation.
- Target incentive compensation for some roles may include a ramping draw period.
- Compensation is higher for those who exceed targets.
Benefits
- Guide your direct reports in day-to-day execution while fostering a culture of continuous learning, technical excellence, and operational discipline.
Company info
- What We're Looking For:
This listing is sourced directly from Navan's careers page and normalized into a canonical job model.