BizOps – GTM & Monetization

Nominal•Los Angeles, CA

2d•Onsite

About The Position

Nominal is hiring a Business Operations lead focused on go-to-market (GTM) and monetization to design and run how the company makes money as it scales. The role shapes pricing and packaging across Nominal’s platform, accounting for customer journeys, segments, and geographies, and works closely with Sales, Product, Engineering, and Finance to influence how customers buy and expand their use of the platform. The role owns pricing strategy and packaging, develops the consumption and billing systems needed to support usage-based pricing, and shapes monetization for AI products while balancing adoption, customer value, and inference costs. It also turns usage data into forecasts and dashboards, conducts market and pricing analysis, supports product launches, and communicates pricing decisions and tradeoffs across the organization.

Requirements

7+ years of experience in business operations, strategy, pricing, or strategic finance at a high-growth B2B software company; ideally preceded by consulting, banking, or a similar analytical role.
Hands-on experience designing and shipping a hybrid pricing model that combines platform fees with usage-based components.
Understanding of commits, drawdowns, credits, overages, forecasting, and revenue recognition.
Strong financial modeling and systems architecture skills, with the ability to analyze raw usage data and develop recommendations independently.
Understanding of enterprise sales motions, deal mechanics, and how compensation plans influence seller behavior.
Ability to lead through influence and align Sales, Product, Engineering, and Finance on cross-functional decisions.
Clear, structured communication skills, including writing executive-ready pricing recommendations and explaining them effectively to sales teams.
Daily use of AI tools to work faster and build solutions.

Nice To Haves

Pricing or GTM experience at AI-native or consumption-based data companies.
Experience implementing usage-based billing and metering systems.
Experience pricing AI agents, credits, or outcome-based models.
Commercial experience with U.S. government or defense customers and contract vehicles.
Experience selling to engineering organizations or hardware-heavy industries.

Responsibilities

Design and evolve Nominal’s hybrid pricing model, combining fixed platform fees and consumption meters; define metrics, editions, entitlements, commits, credits, overages, and discounts.
Partner with Product, Engineering, and Finance to define metering, usage telemetry, billing requirements, and systems architecture.
Shape pricing for current and future AI products while balancing adoption, customer value, and inference costs.
Build forecasts and dashboards for consumption revenue, net revenue retention, and expansion; work with Customer Success to identify account growth and risk indicators.
Lead pricing and monetization analysis, including willingness-to-pay, discounting dynamics, competitive positioning, and win/loss analysis; test changes and measure their impact.
Collaborate with Product to translate roadmap decisions and timelines into pricing and packaging for product launches.
Communicate pricing strategy and tradeoffs clearly to stakeholders using data and customer feedback.