Inside Sales Representative - Enterprise Segment

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

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

What You’ll Do:

• Outbound Prospecting: Conduct extensive outbound outreach each day through phone calls or using parallel dialers to reach a high volume of contacts, with the goal of generating new enterprise leads and opportunities.

• Territory Lead Generation: Research and identify potential customers within an assigned territory or segment, building a robust pipeline of qualified enterprise prospects for Lambda’s AI infrastructure solutions.

• Discovery Calls: Conduct initial discovery conversations with engineering and technical stakeholders (e.g. ML engineers, IT managers) to understand their needs and introduce Lambda’s value proposition.

• Event Follow-Up: Proactively follow up with leads from VIP events, webinars, and industry conferences, converting event contacts into qualified opportunities through timely outreach and personalized communication.

• Deal Management: Manage and close shorter sales-cycle deals, handling Tier 3 accounts (smaller enterprise customers) from initial contact through contract signature. Aim to meet or exceed targets for this segment.

• Sales Support: Assist senior Account Executives by preparing sales content (presentations, technical summaries, case studies) and ensuring all activities and notes are logged in the CRM. Maintain accurate and up-to-date records of customer interactions.

• Cross-Functional Alignment: Work closely with Sales Operations to follow best practices and maintain pipeline hygiene. Collaborate with cross-functional teams (Sales Enablement, Marketing, Product) to stay aligned on product updates, campaigns, and training.

• Performance & Reporting: Consistently meet or surpass monthly activity metrics (calls, emails, meetings set) and contribute to quarterly pipeline/revenue goals. Maintain clear reporting of your activities and results to the team.

You:

• Experience: 3+ years in a business development, sales development, or inside sales role, with a track record of high-volume outbound prospecting and lead generation success.

• Enterprise Selling: Experience engaging and selling to large enterprise customers or complex organizations, with the ability to navigate enterprise stakeholder structures.

• Communication: Excellent verbal and written communication skills; comfortable leading phone/video conversations and email outreach with technical stakeholders.

• Results-Driven: Demonstrated ability to meet and exceed KPIs or quotas (e.g. qualified opportunities, pipeline generated) in a fast-paced, goal-oriented environment.

• Organizational Skills: Strong time management and organization to juggle many leads, follow-ups, and tasks efficiently. Self-motivated, with a proactive approach to prospecting.

• Cross Functional Player: Ability to work collaboratively with Account Executives and cross-functional colleagues, accepting feedback and aligning with broader sales strategies.

Nice to Have:

• Industry Knowledge: Familiarity with AI/ML, cloud computing, or enterprise hardware solutions – able to understand and discuss basic technical concepts of AI infrastructure.

• Closing Experience: Prior experience managing full sales cycles or closing deals (especially in a SaaS, cloud, or hardware context) is a plus.

• Startup Background: Experience working in a high-growth startup or similarly fast-paced environment, demonstrating adaptability and resourcefulness.

• Competitive Insight: Knowledge of the enterprise AI/cloud market and competitors, to help position Lambda’s offerings effectively.

• Tool Experience: Salesforce, Outreach.io, Apollo.io, LinkedIn Sales Navigator, Dialpad, Parallel Dialers, AI-Powered SDR Tools

Salary Range Information

Based on market data and other factors, the annual salary range for this position is $115,000- $173,000 OTE with a 60/40 base/commission split. 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, ~350 employees (2024) 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

• Commuter/Work from home 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.