Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Information Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.
About the Role:
We’re looking for a Senior Salesforce Developer to lead the development and optimization of our Salesforce environment, with a strong focus on Sales Cloud, integrations, and the full Lead-to-Cash lifecycle. This role requires a technical-first mindset, hands-on development expertise, and the ability to work closely with Go-To-Market (GTM) teams, Product, and Engineering to build scalable solutions that drive business impact.
What You’ll Do:
Design & Develop: Build scalable, high-performance Salesforce solutions using Apex, Visualforce, Lightning Web Components (LWC), and Flows to optimize CRM workflows.
Lead-to-Cash Expertise: Architect solutions that support the full GTM motion, from lead generation through deal closure, billing, and renewals.
Integrations & Automation: Architect and manage complex integrations between Salesforce and business systems (e.g., Netsuite, HubSpot, Marketo, LeanData, ZoomInfo, Sales Navigator) using APIs, middleware, and iPaaS tools like Workato.
CI/CD & DevOps: Implement and maintain CI/CD pipelines, use SFDX, Git, and VS Code to streamline development, testing, and deployment processes. Experience with DevOps tools like Gearset or Copado for automated deployments and release management.
Best Practices & Industry Standards: Guide stakeholders by explaining best practices, industry standards, and the challenges of deviating from standard business processes to ensure long-term success and system integrity.
Technical Leadership: Set best practices, coding standards, and governance frameworks to ensure scalable and maintainable solutions.
Security & Compliance: Ensure data governance, security, and compliance with regulations like GDPR and SOX.
Collaboration & Strategy: Work closely with Sales Ops, Sales, Marketing, and Customer Success teams to translate business needs into scalable Salesforce solutions.
Mentorship & Knowledge Sharing: Provide guidance to junior developers and help drive Salesforce innovation within the organization.
What We’re Looking For:
8+ years of Salesforce development experience, with expertise in Sales Cloud, Apex, Lightning Components, and Flows.
Deep understanding of GTM processes and experience working with Sales Ops, Sales, Marketing, and Customer Success teams.
Strong experience with GTM tools like HubSpot, Marketo, LeanData, and enrichment tools like ZoomInfo, Sales Navigator.
Experience in Lead-to-Cash processes, including sales automation, quoting, billing, and renewals.
Strong background in Salesforce integrations using APIs, middleware, and iPaaS tools (Workato, Mulesoft, etc.).
Proficiency in CI/CD, SFDX, Git, and VS Code, with hands-on experience using Gearset or Copado for Salesforce DevOps.
Solid understanding of CRM processes in Sales, Marketing, and Customer Success.
Ability to speak the language of GTM teams, ensuring alignment between technical solutions and business needs.
Ability to explain best practices and industry standards to stakeholders, as well as the challenges of deviating from standard business processes.
Strong problem-solving skills and the ability to work cross-functionally with Product and Engineering teams.
Salesforce certifications (e.g., Application Architect, System Architect, Platform Developer 2) are a plus.
Nice to Have:
Experience with CPQ and Revenue Operations.
Background in machine learning or cloud services.
Experience working in high-growth startup environments.
Experience working in an enterprise sales company.
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, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
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.
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What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
