Responsibilities

Partner and consult with business stakeholders to identify and define requirements, design and build complex, performant business-critical solutions

Experience working with Sales teams and Sales support organizations

Configure and optimize core Service Cloud features, including Omni-Channel, Lightning Service Console, Case Management, Entitlements, Milestones, and Salesforce Knowledge.

Architect and build robust, highly scalable integrations between Salesforce and complex third-party enterprise systems (e.g., CTI/telephony systems like Five9/Genesys, ERPs, or issue-tracking software like Jira).

Able to act as thought leader and subject matter expert for sales processes 

Drive defining, estimating, and shaping technical approaches/solutions using best practices

Customize the Salesforce platform using declarative and coded approaches including Lightning Pages, Flow Builder, APEX triggers and classes, and Lightning Components

Develop and execute integration strategies to connect Salesforce with various systems, applications, and data sources, ensuring seamless data flow and business process automation 

Design and implement custom solutions using Salesforce integration tools such as APIs, middleware platforms, and connectors to meet needs of business

Conduct investigations and analysis to provide recommendations regarding technology improvements, development best practices, standardization, and upgrades

Monitor, troubleshoot and resolve issues promptly, improve performance, and enhance the overall user experience

Maintain and configure development and test instances for our internal sandboxes

Author and maintain documentation of implementations and integration configurations, protocols, and best practices, and provide training and support to end-users and stakeholders

Qualifications

5+ years experience with the Salesforce application in a technical and/or functional role that has owned defining and delivering custom enterprise solutions

4+ years of development experience with Salesforce (Apex, Lightning Components, Force.com APIs and Web Services) or other relevant programming experience

5+ years of experience in general technical development and support

Experience in working with Service Cloud, Design, develop, and implement complex custom solutions within Salesforce Service Cloud utilizing Apex, Lightning Web Components (LWC), and declarative tools (Flows)

Experience working with Sales Cloud, Service cloud, Data Cloud and Marketing Cloud 

Experience working with GTM teams and Sales team is essential. 

Prior experience with CPQ and involvement in at least one end-to-end CPQ implementation is preferred

Excellent communication and relationship building skills with the ability to share insights and expectations with stakeholders and colleagues, both locally and remotely

Proven ability to integrate multiple SAAS systems with Salesforce using both integration applications as well as custom built integrations (using Salesforce, REST, SOAP APIs)

Ability to create data mapping and transformation processes to ensure data consistency, accuracy, and integrity between Salesforce and integrated systems, while adhering to data security and compliance standards

Deep familiarity with Salesforce security model

Master of problem identification, root cause analysis, and troubleshooting

Intimate knowledge of platform governor limits to enable apps that scale to large data and large numbers of users

Experience with Agile tools and methodologies 

Preferred Qualifications

Experience with Development Tools and technologies: Visual Studio Code (or similar IDE), Git, SVN etc.

Salesforce Certifications (such as: Platform Developer I, Platform Developer II, or Service Cloud Consultant)

Proven track record of architecting and implementing practical AI use cases within the Salesforce ecosystem (e.g., Einstein Prediction Builder, Next Best Action, Copilot, or generative AI features).

Partner with business stakeholders to identify opportunities where AI and machine learning can optimize workflows and improve data-driven decision-making.