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Vacantes / Squarespace

Senior Lead, AI Pricing & Margin Strategy

Squarespace·New York Citysenior

En corto

  • →Liderazgo en estrategia de precios y márgenes para productos de IA en Squarespace.
  • →Análisis de costos de IA, modelos financieros y colaboración con producto/billing para monetizar funciones de IA.
  • →Destacado: rol clave en la definición de cómo Squarespace facturará sus funciones de IA, con impacto directo en ingresos y rentabilidad.

Strong written and verbal communication skills; you can take a complex data story and turn

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¿Qué piden?

  • ✓2–4 años en estrategia de precios, análisis comercial o finanzas de producto.
  • ✓Habilidades sólidas en modelado financiero y análisis cuantitativo.
  • ✓Familiaridad con proveedores de LLM (OpenAI, Anthropic, Google) y el ecosistema de IA.
  • ✓Experiencia trabajando con equipos de Producto, Finanzas o Billing.
  • ✓Capacidad para comunicar hallazgos complejos de forma clara y estructurada.
  • ✓Capacidad para operar con ambigüedad y estructura en entornos dinámicos.

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Financial modelingUsage data analysisAPI costsToken consumptionInference spendCredit equivalentsModel routing frameworksPricing modelsTier structuresPromotional offers

¿A quién escribirle en Squarespace?

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Squarespace is looking for an analytical, curious thinker to help build out the economics of our growing AI product portfolio. This role sits at the intersection of commercial strategy and emerging technology — supporting the pricing, margin analysis, and packaging work that shapes how Squarespace monetizes AI-powered features for customers and manages AI costs internally. You will join a centralized Commercial Strategy team that drives revenue growth across the platform by optimizing monetization models and packaging for Squarespace's product suite. The team works across pricing, packaging & promotions, purchase behavior analysis, and feature monetization — aligning price with customer value and unlocking incremental ARPU and retention. In this role, you will support the team's AI pricing and margin workstreams: building financial models, analyzing usage and cost data, researching the competitive AI landscape, and partnering with Product and Billing to bring pricing decisions to life. You will report to Commercial Lead and work from our NYC office 2–3 days per week. What You'll Do… Cost & Margin Analysis • Analyze AI usage data — including API costs, token consumption, and inference spend — to build a clear picture of margin across customer-facing features and internal tooling. • Build and maintain financial models that translate AI usage into credit equivalents, helping the team track unit economics across model providers and feature surfaces. • Support the development of model routing frameworks by modeling the cost and quality tradeoffs of different routing configurations. Pricing & Packaging Support • Support the design and evaluation of customer-facing credit and usage-based pricing models, including tier structures, usage limits, and overage mechanics. • Help translate pricing strategy into concrete SKU and entitlement definitions, working with Product and Billing to ensure commercial intent is correctly implemented. • Assist in structuring promotional offers and launch incentives for new AI features, modeling expected revenue and margin impact. Cross-functional Collaboration • Partner with Finance, Data Science, Product, and Billing teams to gather inputs, align on assumptions, and ensure pricing decisions are grounded in accurate usage and cost data. • Prepare clear, well-structured analyses and presentations that communicate findings to stakeholders across the business. • Track and report on the commercial performance of AI features, flagging margin risks and opportunities as they emerge. AI Market Research • Monitor the AI model landscape — tracking pricing changes, capability updates, and new providers across frontier labs — and surface relevant implications for Squarespace's strategy. • Research how competitors are packaging and monetizing AI capabilities to inform our own positioning and pricing decisions. What We're Looking For… • 2–4 years of experience in pricing strategy, commercial analytics, product finance, management consulting, or a related analytical role. • Strong quantitative and financial modeling skills — you're comfortable building models from scratch, stress-testing assumptions, and presenting findings clearly. • An interest in AI and a working familiarity with the LLM provider landscape (e.g., OpenAI, Anthropic, Google); you don't need to be a practitioner, but you should be genuinely curious about how these systems work and how they're priced. • Experience working cross-functionally with Product, Engineering, or Finance teams, and an ability to navigate ambiguity with structure and clarity. • Strong written and verbal communication skills; you can take a complex da

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