Vice President, Product Monetization & Pricing
Uniphore · Palo Alto · $249,600–$312,000 (stated in the posting)
Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business.
Job Description:
Reports to: CTPO
About Uniphore
Uniphore is one of the fastest-growing Enterprise GenAI companies, built for scale and designed for the enterprise. We drive business outcomes across multiple industry verticals and enable some of the largest global deployments.
At Uniphore, we are building the modern GenAI stack for the enterprise. This includes critical capabilities across data, knowledge, AI models, agents, deployment, operationalization, and enterprise applications.
Our mission is to help enterprises unlock the potential of AI by connecting people, machines, and data to deliver measurable business outcomes and exceptional customer and employee experiences.
Position Overview
We are seeking an exceptional Vice President, Product Monetization & Pricing to lead pricing, packaging, monetization, cost of goods sold (COGS), and strategic vendor management across Uniphore's AI, Data, Platform, and Application portfolio.
This is a strategic product and monetization leadership role focused on defining how enterprise customers purchase, consume, and derive value from Uniphore's products while ensuring strong underlying product economics.
The ideal candidate combines deep product leadership, commercial strategy, cloud infrastructure economics, and experience managing strategic technology vendors and partnerships.
A core responsibility will be translating complex AI workloads, cloud consumption models, and infrastructure cost structures into scalable and differentiated commercial offerings that accelerate product adoption, drive revenue growth, and support sustainable gross margins.
This leader will also own product COGS optimization, key technology vendor selection, vendor performance management, and commercial negotiations to ensure the company maintains a competitive and cost-efficient technology foundation.
Reporting to the CTPO, this executive will partner closely with Product Management, Engineering, Finance, Infrastructure, Sales, and GTM leadership to drive monetization strategy, product economics, strategic vendor decisions, and long-term business growth.
Key Responsibilities
Product Monetization & Pricing Strategy
- Own and execute pricing, packaging, and monetization strategy across AI, Data, Platform, and Application products.
- Define how products and platform capabilities are commercialized, including pricing structures, product tiers, consumption models, and enterprise offerings.
- Develop and scale consumption-based, usage-based, subscription, and hybrid monetization models aligned with customer value and market demand.
- Integrate monetization strategy into product roadmap planning, product development, and launch decisions.
- Identify opportunities to accelerate product adoption, customer expansion, revenue growth, and profitability through differentiated pricing and packaging.
- Lead strategic monetization decisions for new AI capabilities, platform services, APIs, and enterprise applications.
Product COGS & Unit Economics
- Own product COGS strategy, performance, and optimization across Uniphore's AI, Data, Platform, and Application portfolio.
- Establish frameworks to measure, manage, and optimize infrastructure, compute, inference, storage, data processing, and third-party technology costs.
- Partner with Engineering, Infrastructure, and Finance to develop and execute cost optimization strategies without compromising product performance, scalability, or customer experience.
- Drive improvements in product gross margins through infrastructure efficiency, consumption optimization, vendor economics, and architectural decisions.
- Establish unit economics and cost-to-serve models across products, customer segments, and workloads.
- Analyze the financial impact of product architecture, deployment choices, and technology partnerships on COGS and long-term profitability.
- Develop executive-level reporting and performance metrics for product COGS, consumption efficiency, gross margins, and cost optimization initiatives.
Strategic Vendor Selection, Management & Negotiation
- Own strategic vendor selection and commercial management for key technology providers supporting Uniphore's AI and platform infrastructure.
- Lead vendor evaluation and selection based on technical capabilities, scalability, performance, cost efficiency, commercial flexibility, and long-term strategic fit.
- Drive commercial negotiations with hyperscalers, GPU and compute providers, AI model providers, data infrastructure vendors, and other critical technology partners.
- Negotiate pricing structures, consumption commitments, volume discounts, service agreements, and commercial terms to optimize product economics.
- Establish vendor performance metrics, cost benchmarks, governance frameworks, and periodic business reviews.
- Identify opportunities to consolidate vendors, optimize contracts, reduce infrastructure costs, and improve commercial leverage.
- Partner with Engineering and Infrastructure leadership to assess build-versus-buy decisions and evaluate alternative technology providers.
- Manage vendor concentration, commercial dependencies, and cost-related risks while maintaining scalability and operational flexibility.
AI, Data & Cloud Platform Economics
- Translate complex AI, data, and cloud infrastructure economics into scalable, customer-facing commercial models.
- Partner with Engineering and Infrastructure teams to understand GPU consumption, compute utilization, inference, storage, data processing, and platform operating costs.
- Develop monetization frameworks for AI workloads, including LLM inference, API consumption, agent execution, and AI platform services.
- Balance customer value, competitive positioning, infrastructure costs, and sustainable gross margins.
- Use unit economics, customer consumption patterns, and market insights to guide pricing, vendor, and product investment decisions.
- Partner with Finance on economic modeling while maintaining Product ownership of monetization and COGS strategy.
Product Packaging & Commercial Innovation
- Design product packaging strategies that simplify enterprise purchasing and accelerate customer adoption.
- Develop commercial models supporting enterprise subscriptions, consumption commitments, platform usage, and customer expansion.
- Define monetization approaches for developer APIs, AI services, platform capabilities, and partner ecosystems.
- Identify differentiated pricing opportunities based on workload characteristics, customer segments, deployment models, and business value.
- Partner with Product Management to ensure pricing and packaging align with product differentiation and customer needs.
- Evaluate innovative pricing models as enterprise AI adoption, vendor economics, and consumption patterns evolve.
Go-to-Market & Revenue Growth
- Partner with Sales, Product Marketing, Finance, and Revenue Operations to bring pricing and packaging strategies to market.
- Develop commercial frameworks that help customers understand product value, consumption economics, and return on investment.
- Support major product launches, strategic enterprise opportunities, and commercialization initiatives.
- Collaborate with GTM leadership to drive product adoption, revenue expansion, and customer retention.
- Establish feedback loops across customers, Sales, Product, and Engineering to continuously improve monetization models.
- Monitor pricing and monetization performance and recommend strategies to improve business outcomes.
Monetization Governance & Performance
- Establish scalable pricing, vendor, and COGS governance frameworks and operating processes.
- Define performance metrics, including product adoption, consumption growth, revenue realization, gross margins, and cost-to-serve.
- Drive data-informed monetization and cost optimization decisions using customer behavior, competitive insights, vendor performance, and product economics.
- Partner with Finance and Revenue Operations to ensure pricing models can be implemented, measured, and supported operationally.
- Develop frameworks to evaluate monetization opportunities, pricing changes, vendor investments, and commercial trade-offs.
- Present pricing strategy, COGS performance, vendor economics, and business recommendations to executive leadership.
Executive Leadership & Cross-Functional Influence
- Serve as the executive leader for product monetization, pricing, and COGS strategy.
- Influence product investment, commercialization, vendor selection, and architectural decisions in partnership with Product and Engineering leaders.
- Build alignment across Product, Engineering, Infrastructure, Finance, Sales, and GTM teams.
- Provide strategic guidance on the commercial and economic implications of emerging AI technologies and platform capabilities.
- Build and scale product monetization, pricing, and vendor management capabilities as the organization grows.
- Champion a customer-focused, commercially disciplined, and cost-efficient approach to product innovation.
Required Qualifications
- 12+ years of experience in Product Management, Product Strategy, Product Monetization, or related leadership roles within B2B enterprise technology.
- 5+ years of senior leadership experience driving product strategy, monetization, pricing, or commercialization initiatives.
- Demonstrated ownership of product pricing and packaging strategy for enterprise SaaS, cloud platforms, data platforms, or AI products.
- Proven experience developing and scaling consumption-based, usage-based, or hybrid monetization models.
- Experience owning or materially influencing product COGS, unit economics, and gross margin optimization.
- Demonstrated experience selecting and managing strategic technology vendors, including leading complex commercial negotiations.
- Strong understanding of AI, data, cloud infrastructure, and enterprise platform economics.
- Ability to translate complex technical capabilities and infrastructure cost structures into scalable commercial offerings.
- Experience driving product adoption, revenue growth, and margin improvement through monetization and cost optimization initiatives.
- Strong cross-functional partnership experience across Product Management, Engineering, Infrastructure, Finance, Sales, and GTM.
- Demonstrated ability to influence executive decisions and lead strategic initiatives across multiple functions.
- Strong product judgment, analytical capabilities, negotiation skills, and commercial acumen.
Preferred Qualifications
- Product monetization or pricing leadership experience at companies such as Snowflake, Databricks, AWS, Google Cloud, Microsoft Azure, or similar enterprise AI, data, and cloud platform companies.
- Direct experience with consumption-based pricing, cloud credits, compute-based monetization, or API usage models.
- Experience managing commercial relationships with hyperscalers, GPU infrastructure providers, AI model providers, or other strategic technology vendors.
- Familiarity with LLM inference economics, GPU utilization, token-based pricing, agentic AI workloads, and AI platform consumption.
- Experience negotiating cloud consumption commitments, infrastructure pricing, volume discounts, and strategic technology agreements.
- Experience developing pricing and packaging strategies for developer platforms, APIs, data infrastructure, or AI services.
- Experience with cloud marketplace monetization, strategic partnerships, and enterprise commercial agreements.
- Proven ability to scale monetization strategies and improve product economics across multiple products and global enterprise customers.
- MBA or advanced degree in Business, Engineering, Economics, or a related field.
Leadership Profile
The ideal candidate is a strategic product leader with strong commercial instincts and deep familiarity with enterprise AI, data, and cloud platforms.
They have a demonstrated track record of connecting product innovation with successful monetization strategies while managing the underlying economics of delivering technology at scale.
They understand how pricing, infrastructure consumption, vendor contracts, product architecture, and customer adoption collectively influence revenue growth and gross margins.
Success in this role requires the ability to influence product direction, make strategic vendor and commercial decisions, and translate complex technology economics into scalable business models.
Why Join Uniphore
- Define how enterprises purchase, consume, and scale next-generation AI technologies.
- Own strategic product monetization decisions and influence the economics of a growing enterprise AI platform.
- Shape pricing, infrastructure cost efficiency, and strategic technology partnerships.
- Work at the intersection of AI innovation, product strategy, cloud economics, and commercial growth.
- Partner directly with executive leadership to influence product and business strategy.
- Join a collaborative, high-growth organization with competitive compensation, benefits, and global opportunities.
Hiring Pay Range:
$249,600 - $312,000
Benefits:
In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.
Location preference:
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.