Vice President, Product Monetization & Pricing

Uniphore•Palo Alto, CA

11d•$249,600 - $312,000

About The Position

Uniphore is seeking a Vice President, Product Monetization & Pricing to lead pricing, packaging, monetization, product cost of goods sold (COGS), and strategic vendor management across its AI, Data, Platform, and Application portfolio. The role defines how enterprise customers purchase, consume, and derive value from Uniphore products while maintaining sustainable product economics and gross margins. Reporting to the CTPO, this executive partners with Product Management, Engineering, Infrastructure, Finance, Sales, and go-to-market leadership. The position translates AI workloads, cloud consumption models, and infrastructure cost structures into scalable commercial offerings that encourage adoption, revenue growth, and profitability. It also owns product COGS optimization, technology vendor selection and performance, and commercial negotiations. The leader will establish monetization and COGS frameworks, develop customer-facing pricing models, support commercialization and product launches, and present recommendations and performance to executive leadership. The role also builds and scales the organization’s product monetization, pricing, and vendor management capabilities.

Requirements

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 go-to-market teams.
Demonstrated ability to influence executive decisions and lead strategic initiatives across multiple functions.
Strong product judgment, analytical capabilities, negotiation skills, and commercial acumen.

Nice To Haves

Product monetization or pricing leadership experience at 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.

Responsibilities

Own and execute pricing, packaging, and monetization strategy across AI, Data, Platform, and Application products.
Define product commercialization, including pricing structures, tiers, consumption models, and enterprise offerings.
Develop consumption-based, usage-based, subscription, and hybrid monetization models aligned with customer value and market demand.
Integrate monetization strategy into product roadmap planning, development, and launch decisions.
Identify pricing and packaging opportunities to accelerate adoption, customer expansion, revenue growth, and profitability.
Lead monetization decisions for new AI capabilities, platform services, APIs, and enterprise applications.
Own product COGS strategy, performance, and optimization across the portfolio.
Establish frameworks to measure and optimize infrastructure, compute, inference, storage, data processing, and third-party technology costs.
Partner with Engineering, Infrastructure, and Finance on cost optimization while protecting performance, scalability, and customer experience.
Improve 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 how product architecture, deployment choices, and technology partnerships affect COGS and long-term profitability.
Develop executive reporting and metrics for COGS, consumption efficiency, gross margins, and cost optimization.
Own strategic vendor selection and commercial management for technology providers supporting AI and platform infrastructure.
Evaluate vendors based on technical capabilities, scalability, performance, cost efficiency, commercial flexibility, and strategic fit.
Lead 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.
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 on build-versus-buy decisions and alternative provider evaluations.
Manage vendor concentration, commercial dependencies, and cost-related risks while maintaining scalability and operational flexibility.
Translate AI, data, and cloud infrastructure economics into scalable customer-facing commercial models.
Develop monetization frameworks for 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 retaining Product ownership of monetization and COGS strategy.
Design packaging strategies that simplify enterprise purchasing and accelerate adoption.
Develop commercial models for enterprise subscriptions, consumption commitments, platform usage, and customer expansion.
Define monetization approaches for developer APIs, AI services, platform capabilities, and partner ecosystems.
Identify pricing opportunities based on workload characteristics, customer segments, deployment models, and business value.
Partner with Product Management to align pricing and packaging with product differentiation and customer needs.
Evaluate new pricing models as enterprise AI adoption, vendor economics, and consumption patterns evolve.
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 go-to-market leadership to drive adoption, revenue expansion, and retention.
Create feedback loops across customers, Sales, Product, and Engineering to improve monetization models.
Monitor monetization performance and recommend strategies to improve business outcomes.
Establish scalable pricing, vendor, and COGS governance frameworks and operating processes.
Define performance metrics for product adoption, consumption growth, revenue realization, gross margins, and cost-to-serve.
Use customer behavior, competitive insights, vendor performance, and product economics to guide monetization and cost optimization decisions.
Partner with Finance and Revenue Operations to ensure pricing models can be implemented, measured, and supported operationally.
Develop frameworks for evaluating monetization opportunities, pricing changes, vendor investments, and commercial trade-offs.
Present pricing strategy, COGS performance, vendor economics, and business recommendations to executive leadership.
Serve as the executive leader for product monetization, pricing, and COGS strategy.
Influence product investment, commercialization, vendor selection, and architectural decisions with Product and Engineering leaders.
Build alignment across Product, Engineering, Infrastructure, Finance, Sales, and go-to-market 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.