Overview
The organization is seeking a Pricing Strategy Manager to join the Corporate Strategy team. This role leads pricing, packaging, and monetization initiatives across the full product portfolio, including emerging AI offerings. Responsibilities focus on converting ambiguous commercial questions into rigorous, defensible recommendations supported by sourced and calculated numbers (or clearly flagged assumptions) for executive review.
This position reports to the Senior Manager of Pricing & Monetization Strategy and can be based remotely in the US. The role is available immediately.
Responsibilities
- Lead pricing and packaging proposals for new products and features from hypothesis through recommendation, in partnership with Product and Finance.
- Build and stress-test business cases behind pricing decisions, including segment-level performance, as well as migration and monetization sizing.
- Design and run market, competitive, and willingness-to-pay research, including win/loss and price elasticity analysis, to pressure-test pricing hypotheses before leadership review.
- Develop monetization models for emerging offerings, including usage-based, hybrid, credit-based, and outcome-based approaches for AI, and assess implications for the existing customer base.
- Diagnose ambiguous commercial problems end to end (e.g., why a segment’s new-logo motion underperforms) and determine whether root causes relate to package design, sales execution, or market fit.
- Translate analysis into a small number of clear, claim-driven recommendations; present to executive leaders and defend recommendations under challenge.
- Partner with Product, Sales, Finance, Marketing, and Operations to ensure approved decisions are operationalized and communicated to the field.
Requirements
- Bachelor’s degree in Business, Finance, Economics, or a related field.
- 5+ years of experience in pricing strategy, monetization, product strategy, corporate or commercial strategy, or management consulting, with 2+ years inside a pricing or monetization practice at a top-tier strategy firm.
- Advanced financial modeling skills, including expert proficiency in Excel and experience building pricing, revenue impact, and unit economics models from scratch.
- Experience conducting qualitative and quantitative pricing research (e.g., willingness-to-pay studies, conjoint analysis, Van Westendorp, win/loss analysis), with the ability to synthesize qualitative inputs (e.g., call transcripts and field feedback) into clear themes that support recommendations.
- Track record of framing complex, ambiguous problems into clear strategic frameworks and presenting recommendations to senior executives.
- Strong cross-functional collaboration and influence skills, including experience partnering with Product, Sales, Finance, and Marketing leaders without direct authority.
- Experience with B2B SaaS pricing and usage- or credit-based monetization. Familiarity with B2B SaaS metrics (e.g., ARR, net revenue retention, win rate, discount rate) is a plus.
- Curiosity, high agency, and an owner’s mindset with a strong bias for action.
Preferred Qualifications
- Familiarity with B2B SaaS metrics (e.g., ARR, net revenue retention, win rate, discount rate).
Compensation & Benefits
- Base Pay Range: 129,600.00 - 178,200.00 USD Annual
- This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation.
- Actual compensation will be based on job-related skills, experience, education or training, and location.
Location
For Los Angeles County (unincorporated) Candidates
All qualified applicants will be considered for employment, including applicants with arrest or conviction records, in accordance with applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in withdrawal of a conditional offer of employment:
- Appropriately managing, accessing, and handling confidential information, including proprietary and trade secret information, as well as accessing information technology systems and platforms
- Interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues
- Exercising sound judgment