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LambdaLA

Sales Operations Manager - Order Management

Lambda Labs is an AI infrastructure company providing GPU cloud services, servers, and workstations designed to accelerate deep learning and machine learning processes.

Lambda

Employee count: 201-500

Salary: 180k-270k USD

United States only

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.

If you'd like to build the world's best deep learning cloud, join us.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the Role

We’re looking for a Sales Operations Manager to support and streamline the processes that keep our Sales and GTM teams running efficiently. You’ll play a key role in ensuring orders are processed accurately, CRM data is clean and up-to-date, and Sales Reps have the operational support they need to close deals quickly and correctly.

This is a hands-on, cross-functional role where you’ll work closely with Sales, Finance, Legal, Customer Success, and Fulfillment teams to assist with order booking, documentation checks, data entry, and process coordination. From supporting quoting workflows to verifying contracts and managing vendor onboarding, you’ll be essential to keeping deals moving through the pipeline with minimal friction.

If you’re detail-oriented, enjoy problem-solving, and are eager to learn the foundational operations that drive a high-performing sales organization, this role will give you broad exposure and opportunities to grow.

What You’ll Do

  • Order Booking & Data Entry:

    • Review and book customer orders in Salesforce and NetSuite, ensuring accuracy in pricing, product SKUs, tax status, and customer details.

    • Ensure complete and policy-compliant order documentation (order forms, contracts, POs, amendments) before booking.

    • Move opportunities from “Ready to Book” to “Closed Won” after thorough order package review.

    • Maintain traceability for non-standard deal terms, ensuring all exceptions are documented within Salesforce.

  • Sales Process & Quote Support

    • Guide and assist sales reps in configuring accurate quotes in Salesforce, providing hands-on support as needed.

    • Identify recurring non-standard deal configurations and templatize them for future efficiency.

    • Prepare quote drafts and assist with system entries to support the quoting process.

    • Coordinate with Legal, Accounting, Pricing, and Fulfillment teams to expedite approvals, using business judgment to act on behalf of Sales when appropriate.

  • Reporting & Data Maintenance

    • Generate basic sales reports and dashboards to provide leadership with visibility into pipeline and booking metrics.

    • Ensure data integrity by maintaining clean and accurate records in Salesforce and related systems.

  • Cross-Functional Collaboration & Issue Resolution:

    • Partner with Sales, Legal, Accounting, Finance, and Fulfillment teams to resolve order discrepancies and gather missing information.

    • Proactively flag order inconsistencies or errors and support investigations to ensure timely resolutions.

  • Process Improvement & Automation Readiness:

    • Participate in continuous learning of internal policies and system workflows.

    • Identify opportunities to streamline quote-to-book processes and contribute to business requirements for automation initiatives under senior guidance.

Skills & Experience

  • 5+ years experience in Revenue, Accounting, or Business Operations roles at a SaaS, Cloud, or AI infrastructure company

  • Have a deep understanding and hands-on experience supporting a world class quote-to-cash process

  • Hands-on experience with GTM and Financial Reporting tools (i.e. Salesforce, NetSuite)

  • Systems-oriented thinker with strong attention to detail

  • Great communicator and collaborator with a seller-centric, enablement-first mindset

  • Bias to action and a builder mentality, someone who turns ambiguity into structure and manual tasks into code

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

  • Founded in 2012, ~400 employees (2025) and growing fast

  • We offer generous cash & equity compensation

  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Health, dental, and vision coverage for you and your dependents

  • Wellness and Commuter stipends for select roles

  • 401k Plan with 2% company match (USA employees)

  • Flexible Paid Time Off Plan that we all actually use

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 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.

About the job

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Posted on

Job type

Full Time

Experience level

Manager

Salary

Salary: 180k-270k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Lambda

Learn more about Lambda and their company culture.

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At Lambda, we are at the forefront of accelerating artificial intelligence and machine learning capabilities through our groundbreaking compute infrastructure. Founded in 2012, our mission is to empower AI engineers and researchers by providing them with the most efficient and powerful tools to train, fine-tune, and deploy AI models at scale. We recognized early on the immense computational power required for deep learning and set out to build solutions that make this power accessible and affordable. Our innovative approach began with developing high-performance GPU-powered workstations and servers, meticulously designed for the rigorous demands of AI development. This hardware foundation was engineered for plug-and-play simplicity, enabling teams to rapidly deploy and begin their work without complex setup procedures.

Building on our hardware expertise, Lambda launched the Lambda GPU Cloud, a specialized cloud service offering on-demand and reserved access to cutting-edge NVIDIA GPUs. This platform is engineered to provide a seamless and scalable environment for both AI training and inference, catering to the needs of startups and large enterprises alike. A key component of our ecosystem is the Lambda Stack, a comprehensive AI software repository that simplifies the setup and management of popular deep learning frameworks and drivers with one-line installations. This focus on a streamlined software experience, combined with our high-performance hardware and cloud offerings, allows AI developers to transition from concept to production with unprecedented speed and efficiency. We are committed to pushing the boundaries of what's possible in AI by continuously innovating and providing the essential infrastructure that fuels the next generation of intelligent systems. Our solutions are trusted by leading research institutions, Fortune 500 companies, and pioneering AI-native organizations globally, as we help them tackle complex computational challenges and drive significant advancements in their respective fields.

Employee benefits

Learn about the employee benefits and perks provided at Lambda.

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Dental

Dental coverage.

Vision

Vision coverage.

Sick days

Five sick days per year.

Paid holidays

12 paid holidays per year.

View Lambda's employee benefits
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