Titan Msp
Business Operations & Strategy
New York City, San Francisco
Sponsorship not specifiedDetected 346 days ago
Data AnalysisAgentic AICommunication
About the role
- Revenue operations: Execute on initiatives to both accelerate sales growth and improve existing customer retention
- Fast learning curve - you thrive in ambiguous problem spaces; you learn new workflows and concepts quickly and become an SME within days or weeks
Responsibilities
- Business operations: Partner with MSP executives and leaderships to identify key bottlenecks and revamp operations to enable better growth
- Integration strategy: Identify opportunities to drive successful integration across finance, operations, and product for new portfolio organizations and clients
- Corporate strategy: Support executives with data analytics and strategic projects to set quarterly business goals at the MSP and Titan level
- Business operations: Partner with MSP executives and leaderships to identify key bottlenecks and revamp operations to enable better growth; embed within MSP operating teams to identify pain points and product gaps for engineers and managers
Nice to have
- 3-6 years of experience across business strategy, operations, consulting, and finance.
- Prior operating experience in a startup, PE, or high-growth technology environment is preferred
- Strong business sense and analytics fluency
- you learn new workflows and concepts quickly and become an SME within days or weeks
- Exceptionally versatile - you can context switch to work well with operators at all levels of the business across multiple projects.
- You thrive in both high-level strategy discussion and day-to-day execution
Benefits
- Fast learning curve - you thrive in ambiguous problem spaces
Company info
- We are seeking a Business Operations & Strategy Lead to partner closely with our founders, MSP executives, and product / finance teams on special projects, operational improvements, and integration / growth strategy.
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This listing is sourced directly from Titan Msp's careers page and normalized into a canonical job model.