Deal Operations Manager

Deal Operations Manager

Lambda's mission is to accelerate human progress with computation. Our Deep Learning workstations, servers, and cloud services power Machine Learning engineers at the forefront of Artificial Intelligence research, fueling advancements in quantum computing, cancer detection, autonomous aircraft, drug discovery, self-driving cars, and much more. 

Lambda provides Artificial Intelligence and Machine Learning infrastructure to organizations like Intel, Microsoft, Amazon Research, Tencent, Kaiser Permanente, MIT, Harvard, Stanford, Caltech, and the Department of Defense. 

Join us in building the future of Artificial Intelligence. 

About the Role

We’re looking to create a Deal Desk team in preparation for massive growth this year and next! As Deals Operations Manager you will be joining a small, tight-knit team of finance professionals and help build out a new Deal Desk department. You will own the Deal Desk function, leading the front of our quote-to-cash process, act as a “compliance sheriff” for all relevant business policies, and improve data integrity in our various systems.

What You’ll Do

• Manage the day-to-day quote and pricing approvals processes, ensuring compliance with published sales and finance approval policies
• Review and process all incoming Salesforce Quotes and Contracts orders accurately, including but not limited to confirming contact and billing information, discounting, non-standard terms, etc.
• Review proposals/quotes and provide Sales with deal structure and pricing guidance to optimize profitability, meet strategic corporate goals, and accelerate deal closure
• Ensure that sales proposals adhere to established corporate strategies and business terms as well as legal and billing
• Work with members of the Accounting teams to accurately record transactions in Salesforce and other systems
• Responsible for data integrity in our Billing systems
• Deliver trainings to all new and existing Sales reps on Deal Desk, Order Booking and overall Quote-to-Cash best practices

You

• Have Deal Desk, Revenue (ASC 606), Order Management experience in a SaaS environment.
• Have deep knowledge of Salesforce, CPQ, HelloSign, NetSuite, or similar systems.
• Have knowledge of SaaS renewals and retention experience.
• Have proven success partnering with sales teams and other cross functional departments.
• Have strong oral and written communications skills.
• Have exceptional analytical, quantitative and strategic problem-solving skills.
• Can thrive in a fast-paced environment and be able to manage multiple projects with ease.
• Have the ability to manage high volumes at month and quarter ends and meet tight deadlines.
• Have the ability to work independently across multiple time zones and coordinate with management.

Nice to Have

• Experience in the manufacturing, software or cloud services industries
• Have built a deal desk process from the ground up
• Startup experience preferred 

About Lambda

• We offer generous cash & equity compensation.
• Investors include Gradient Ventures, Google’s AI-focused venture fund.
• We are experiencing a high rate of growth and have 10x’d over the last 3 years.
• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.
• We have a wildly talented team of 75, and are growing fast.
• Our remote workforce, based on role, is across the U.S., with headquarters in San Francisco.
• Health, dental, and vision coverage for you and your dependents.
• Commuter/Work from home stipends.
• 401k Plan.
• 3 weeks Annual Paid Time Off.

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda Labs is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.