Semrush - Jacksonville, FL
posted 3 months ago
As a Senior Deal Desk Manager at Semrush, you will play a pivotal role in supporting our sales operations by implementing functional processes and driving them to completion. You will serve as a trusted adviser to the sales team, collaborating on pricing, product, and commercial terms for non-standard and complex Enterprise-scale transactions. Your responsibilities will include continuously building, assessing, and improving deal desk processes to enhance efficiency and effectiveness, adapting to the evolving needs of the business. In this role, you will build and lead a team of deal desk professionals tasked with supporting a growing global SaaS organization in achieving its sales goals within a hybrid Product-Led Growth (PLG) and Sales-Led Growth (SLG) environment. You will partner with key functions to ensure outcomes align with client expectations and internal requirements, such as revenue and legal compliance. Additionally, you will work to increase the competency of the sales teams by enabling them to develop structuring and negotiation skills. You will ensure that sales and negotiation strategies adhere to established discounting, legal, and revenue guidelines, policies, and standards. Your role will also involve ensuring transactions comply with revenue recognition and business operational policies that meet Semrush's margins and revenue growth goals. You will liaise between Sales and Revenue Accounting on accounting close questions and collaborate with cross-functional teams across multiple time zones. Providing deal contract guidance to Sales and Sales Management will be a key part of your responsibilities, leveraging your knowledge and experience from multiple products and packaging. You will train, mentor, and enable global Sales teams, Sales Operations teams, and internal stakeholders on deal structure principles, pricing, and packaging. Furthermore, you will analyze historical deal performance to provide insights that optimize future deals and contribute to data-driven decision-making processes.