Deal Desk Analyst - NYC

<p>G&amp;A at Datadog rapidly scales the physical space, hiring, onboarding, and financial and legal systems to keep our business running in top form.</p> <p>As a Deal Desk Analyst, you will work cross-functionally with our Sales Operations, Billing, Contracts and Legal teams to provide quoting and deal structuring support to the Global Sales Team. This will be a growth position as Datadog’s business continues to expand.</p> <p><em>At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.</em></p> <p><strong>What You’ll Do:</strong></p> <ul> <li>Develop in-depth knowledge of Datadog’s licensing and pricing models to provide deal structuring and quoting support to our global sales teams&nbsp;&nbsp;</li> <li>Be a creative problem solver who finds a way to meet customers’ needs while adhering to Datadog’s selling policies</li> <li>Solve customer satisfaction issues following execution of the deal</li> <li>Actively negotiate deals directly with the customer as needed</li> <li>Work cross functionally across various stakeholder groups including legal, contracts, sales operations, order management, revenue, finance and product management</li> <li>Function as point of contact and subject matter expert for Sales on deal pricing matters</li> <li>Drive adherence to internal controls, protocols and business rules</li> </ul> <p><strong>Who You Are:</strong></p> <ul> <li>At least 4 years of overall experience including related processes such as sales operations, finance, sales strategy, and sales enablement</li> <li>At least 2 years of experience with deal structuring/quoting complex SaaS transactions for a fast-growing multi-national company&nbsp;&nbsp;</li> <li>Working knowledge of revenue recognition principles&nbsp;</li> <li>Must be comfortable representing the company to customers in negotiations and resolving customer satisfaction issues&nbsp;&nbsp;</li> <li>Strong attention to detail&nbsp;</li> <li>Ability to multi-task</li> <li>Strong communication skills</li> <li>Ability to work in fast paced, high pressure environment</li> <li>Strong quantitative skills&nbsp;</li> <li>Strong MS Word, Excel and PowerPoint skills</li> </ul> <p><strong>Bonus Points:</strong></p> <ul> <li>Experience with Salesforce and CPQ</li> </ul> <p><em>Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.</em></p> <p><strong>Benefits and Growth:</strong></p> <ul> <li>Generous and competitive benefits package</li> <li>New hire stock equity (RSUs) and employee stock purchase plan</li> <li>Continuous career development and pathing opportunities&nbsp;</li> <li>Product training to develop an in-depth understanding of our product and space</li> <li>Best in breed onboarding</li> <li>Internal mentor and buddy program cross-departmentally</li> <li>Friendly and inclusive workplace culture</li> </ul> <p><em>Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.</em>&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.</p></div><div class="title">The reasonably estimated yearly salary for this role at Datadog is:</div><div class="pay-range"><span>$68,000</span><span class="divider">&mdash;</span><span>$91,000 USD</span></div></div></div><div class="content-conclusion"><hr> <p><strong>About Data