Senior Salesforce Developer at Lambda

San Francisco, California, United States

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$206,000 – $310,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud ComputingIndustries

Requirements

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

Responsibilities

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

Skills

Salesforce

Apex

Visualforce

Lightning Web Components

LWC

Flows

Sales Cloud

NetSuite

HubSpot

Marketo

Workato

APIs

CI/CD

DevOps

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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