Role Description
The Pricing Manager will be a strategic and customer-centric professional responsible for developing, maintaining, and evolving Celigo's pricing strategy across all products and segments. Reporting to Product Marketing, this role ensures pricing reflects the tangible value Celigo delivers to customers, especially as AI capabilities become a core part of the platform.
The ideal candidate understands pricing as both a financial lever and a value communication tool. They will partner closely with Product Marketing to ensure AI capabilities are priced and positioned in ways that resonate with buyers and reflect real customer outcomes β directly influencing revenue growth by keeping Celigo's pricing competitive, scalable, and aligned to customer value.
What would you do if hired?
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Own end-to-end pricing strategy across subscription tiers, usage-based models, AI capabilities, add-ons, and professional services.
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Benchmark competitors globally and identify differentiation opportunities in pricing, packaging, and AI monetization.
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Translate customer and market insights into pricing recommendations; lead strategic discussions on growth acceleration and commercial positioning with executive stakeholders across Marketing, Product, Sales, Finance, and Strategy.
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Build advanced revenue and margin simulations to evaluate pricing scenarios, elasticity, segmentation, and growth vs. margin trade-offs.
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Present pricing direction, value, and packaging strategy, and trade-offs to senior leadership, customer-facing teams, and partners.
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Track key pricing KPIs, including ASP, ACV, NRR impact, and discount rate trends.
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Partner with Finance on revenue recognition, audit, and compliance requirements.
Qualifications
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Balances short-term revenue goals with long-term pricing architecture and customer lifetime value.
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Brings demonstrated AI fluency that includes hands-on experience with generative AI, ML models, or pricing engines applied to real business decisions.
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Analytically rigorous, with comfort in Excel or SQL to build pricing models, run cohort analyses, and synthesize large datasets.
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Understands the levers of SaaS unit economics, including ARR, churn, NRR, and CAC.
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Influences stakeholders across functions and presents pricing rationale clearly to executive audiences.
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Detail-oriented with high accuracy in managing pricing tables, approval matrices, and CPQ configurations.
Requirements
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Bachelor's degree in Finance, Economics, Business, Mathematics, or a related quantitative field.
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5+ years of experience in pricing, revenue operations, consulting, FP&A, or related roles β preferably in a SaaS, AI or technology company.
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Demonstrated background in B2B SaaS pricing models, including subscription, usage-based, and tiered pricing architectures.
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Experience with CPQ systems (e.g., Salesforce CPQ, DealHub) and ERP platforms such as NetSuite.
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Strong analytical and financial modeling skills; proficiency in Excel required.
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Experience building or fine-tuning ML models for price elasticity, churn prediction, or deal scoring.
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Exposure to LLM-based tooling for competitive research, contract analysis, or customer sentiment mining.
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Track record of partnering with Sales leadership on deal structuring, discounting strategy, and commercial negotiations.
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Experience presenting pricing strategies and recommendations to C-suite or senior leadership.
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Prior experience in a high-growth, scaling SaaS company is a strong plus.
Benefits
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Three weeks of vacation (starting year one).
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Wellness days and holidays to recharge.
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Parental leave and a generous benefits package.
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Monthly tech stipend.
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Recognition and career development opportunities.