Pricing Architect

About this role

ABOUT THE ROLE This is a senior, client-facing pricing role at an early-stage AI-native SaaS startup building a continuous pricing optimization platform. You will own end-to-end pricing engagements for B2B customers, from initial discovery through live pricing models and ongoing optimization, acting as a trusted advisor to operators and executives alike. The role sits at the intersection of customer success, commercial strategy, and product development.

WHAT YOU'LL DO - Lead pricing engagements independently from discovery to live pricing and proposition models. - Run alignment workshops and market research with customer stakeholders at all levels. - Design segmentation, packaging, price metrics, discounting, and monetization logic tailored to each customer. - Drive post-go-live pricing optimization and continuous value capture as customers grow. - Measure and communicate commercial impact to client stakeholders, including C-level executives.

- Identify and convert expansion opportunities into upsells. - Use the AI-powered pricing platform daily to solve real customer problems and provide specific product feedback. - Partner with product and engineering teams to improve the pricing engine and tooling. - Support rollout and change management, including onboarding internal sales teams. - Document learnings to help scale a repeatable pricing engagement motion.

- Participate in sales pitches and help advance deals with prospective customers. WHAT WE'RE LOOKING FOR - 5 to 7+ years in pricing, commercial strategy, or revenue management, ideally from a top-tier strategy consultancy or a pricing/revenue role in tech or SaaS. - Deep expertise in segmentation, packaging, price metrics, discounting, and willingness-to-pay methodologies. - Proven track record owning multiple end-to-end pricing engagements from concept through execution.

- Experience leading enterprise or mid-market customer relationships and managing varied client stakeholders. - Strong B2B tech exposure, with pricing or commercial strategy work relevant to SaaS or technology companies. - Hands-on, current use of GenAI and LLM tools in day-to-day pricing work. - Solid data and analytical skills, including proficiency with spreadsheets and SQL. - Excellent communication and presentation skills, with the ability to influence C-level and cross-functional teams.